[{"data":1,"prerenderedAt":1183},["ShallowReactive",2],{"navbar":3,"footer":25,"company":65,"homepage-company":131,"homepage-services":153,"homepage-products":1127},{"id":4,"extension":5,"items":6,"meta":22,"stem":23,"__hash__":24},"navbar_en/en/_data/navbar.yml","yml",[7,10,13,16,19],{"label":8,"to":9},"Home","/",{"label":11,"to":12},"Services","/services",{"label":14,"to":15},"Blog","/blogs",{"label":17,"to":18},"Booking","/booking",{"label":20,"to":21},"Contact","/contact",{},"en/_data/navbar","0s4EZWfFOzJefxw_XvqUtNphYWEmsyUdeXrL4zEnryI",{"id":26,"columns":27,"extension":5,"meta":62,"stem":63,"__hash__":64},"footer_en/en/_data/footer.yml",[28,38,48],{"title":29,"links":30},"Company",[31,32,35],{"label":20,"to":21},{"label":33,"to":34},"Impressum","/contact/impressum",{"label":36,"to":37},"Data Privacy","/contact/dataprivacy",{"title":11,"links":39},[40,42,45],{"label":41,"to":12},"All Services",{"label":43,"to":44},"Consulting","/services#integration",{"label":46,"to":47},"Support","/services#flexible",{"title":49,"links":50},"Resources",[51,53,56,59],{"label":14,"to":52},"/blog",{"label":54,"to":55},"OTOBO Docs","https://otobo-docs.softoft.de",{"label":57,"to":58},"Znuny Docs","https://znuny-docs.softoft.de",{"label":60,"to":61},"OpenITSMHub","https://openitsmhub.com",{},"en/_data/footer","wyN8BR3pvRS-qR61V-JTRoLU5STscFfC3xqeuE9jwUs",{"id":66,"contact":67,"extension":5,"fullName":75,"meta":76,"name":77,"partners":78,"qualification":83,"socialMedia":91,"stem":108,"tagline":109,"testimonials":110,"whySoftoft":117,"__hash__":130},"company_en/en/_data/company.yml",{"email":68,"appointmentUrl":69,"address":70},"info@softoft.de","https://calendly.com/softoft",{"street":71,"city":72,"zip":73,"country":74},"Am Judensand 7","Mainz","55122","Germany","Softoft, Tobias Bück e.U.",{},"Softoft",[79],{"name":80,"description":81,"url":82},"Open Ticket AI","AI-powered ticket classification and routing for OTOBO/Znuny systems","https://openticketai.com",{"heading":84,"intro":85,"bullets":86},"Who is this for?","Best fit for teams with clear ticket-system goals:",[87,88,89,90],"On-premise ticket systems","OTOBO or Znuny teams","OTRS migrations",">500 tickets per month",[92,96,100,104],{"platform":93,"url":94,"icon":95},"LinkedIn","https://www.linkedin.com/company/softoft-it-services/","fa-brands:linkedin",{"platform":97,"url":98,"icon":99},"GitHub","https://github.com/Softoft","fa-brands:github",{"platform":101,"url":102,"icon":103},"Kaggle","https://www.kaggle.com/tobiasbueck","simple-icons:kaggle",{"platform":105,"url":106,"icon":107},"Medium","https://medium.com/@softoft","fa-brands:medium","en/_data/company","Your Partner for Open Source Ticketsystem Automation",[111,113,115],{"text":112},"The migration from OTRS to OTOBO was seamless and professional. Softoft's expertise saved us weeks of work.",{"text":114},"Excellent support and deep knowledge of ticket systems. They helped us optimize our workflow significantly.",{"text":116},"Softoft delivered exactly what they promised. Our automation is now working flawlessly.",[118,121,124,127],{"icon":119,"text":120},"heroicons:star-20-solid","Ticket-system expertise",{"icon":122,"text":123},"heroicons:rocket-launch-20-solid","Fast implementation",{"icon":125,"text":126},"heroicons:shield-check-20-solid","Secure & compliant",{"icon":128,"text":129},"heroicons:user-20-solid","Direct consultation","jMvGCBn-0u-59_xgdW4MOZMdbyKa10XmlaPNwSuGE-Q",{"id":66,"contact":132,"extension":5,"fullName":75,"meta":134,"name":77,"partners":135,"qualification":137,"socialMedia":139,"stem":108,"tagline":109,"testimonials":144,"whySoftoft":148,"__hash__":130},{"email":68,"appointmentUrl":69,"address":133},{"street":71,"city":72,"zip":73,"country":74},{},[136],{"name":80,"description":81,"url":82},{"heading":84,"intro":85,"bullets":138},[87,88,89,90],[140,141,142,143],{"platform":93,"url":94,"icon":95},{"platform":97,"url":98,"icon":99},{"platform":101,"url":102,"icon":103},{"platform":105,"url":106,"icon":107},[145,146,147],{"text":112},{"text":114},{"text":116},[149,150,151,152],{"icon":119,"text":120},{"icon":122,"text":123},{"icon":125,"text":126},{"icon":128,"text":129},[154,259,318,374,433,490,542,597,675,765,814,875,937,999,1062],{"id":155,"title":156,"cta":157,"deliverables":160,"editions":165,"excluded":177,"extension":180,"faq":181,"included":188,"meta":191,"oneLiner":192,"order":193,"prerequisites":194,"price":198,"pricingSummary":199,"processSteps":200,"relatedProducts":221,"serviceGroup":225,"slug":226,"stem":227,"systems":228,"tags":233,"timeline":237,"variants":238,"whoFor":254,"__hash__":258},"services_en/en/_data/services/automation_ota-automation-pack.yaml","OTA Automation Pack",{"primary":158,"secondary":159},"Request automation pack","Book 15-min call",[161,162,163,164],"OTA rules that convert AI tags into actions","Tested automations with real examples","Documentation for each rule (intent, conditions, actions)","Optimization round (Pro) based on results",[166,171],{"edition":167,"price":168,"scope":169},"Starter","3 000 €",[170],"3 automations",{"edition":172,"price":173,"scope":174},"Pro","5 000 €",[175,176],"Up to 7 automations","Optimization round",[178,179],"Complex bespoke business process redesign","New custom fields across multiple departments without coordination","yaml",[182,185],{"q":183,"a":184},"How many rules do we actually need?","Most teams start with 3-5 high-impact rules. Pro supports up to 7 plus an optimization round.",{"q":186,"a":187},"Can rules mis-route tickets?","We add guardrails and start with conservative thresholds. Rules can be disabled instantly.",[189,190],"Rule library + naming conventions","Basic rollback strategy (disable rules safely)",{},"AI-driven ticket actions",50,[195,196,197],"Clear target actions (routing/priority/state) and constraints","Access to ticket system admin + test environment (preferred)","10-30 representative tickets for validation","from 3 000 €",null,[201,206,211,216],{"title":202,"bullets":203},"Rule Design",[204,205],"Define actions and guardrails","Select signals (tags, confidence, metadata)",{"title":207,"bullets":208},"Implementation",[209,210],"Build OTA rules","Integrate with ticket system actions",{"title":212,"bullets":213},"Validation",[214,215],"Run on sample tickets","Adjust thresholds and edge cases",{"title":217,"bullets":218},"Handover",[219,220],"Rule docs + playbook","Next steps (support, tuning)",[222],{"slug":223,"relationshipDescription":224},"openticketai","This automation service leverages Open Ticket AI's classification tags to implement intelligent routing and workflow actions in your ticket system.","automation","ota-automation-pack","en/_data/services/automation_ota-automation-pack",[229,230,231,232],"otobo","znuny","zammad","custom",[225,234,235,236],"sla","routing","workflows","1-3 weeks",{"otobo":239,"znuny":244,"zammad":249},{"label":240,"notes":241},"OTOBO",[242,243],"Actions via GenericAgent/Process Mgmt/Webservices depending on setup","Dynamic Fields often used for tag persistence",{"label":245,"notes":246},"Znuny",[247,248],"OTRS-stack automations supported","Package compatibility considered during rollout",{"label":250,"notes":251},"Zammad",[252,253],"Actions via API + triggers","Mapping depends on custom fields",[255,256,257],"You already have AI tags and want operational outcomes (routing, priority, SLA actions)","You want repeatable rules with documentation and tests","You need measurable reduction of manual triage work","0Plv6IljW5xFXd5yGEa6Avh5-HZfhz-gjRUdanybVtw",{"id":260,"title":261,"cta":262,"deliverables":264,"editions":267,"excluded":271,"extension":180,"faq":273,"included":277,"meta":279,"oneLiner":280,"order":281,"prerequisites":282,"price":284,"pricingSummary":199,"processSteps":285,"relatedProducts":199,"serviceGroup":305,"slug":306,"stem":307,"systems":308,"tags":310,"timeline":314,"variants":199,"whoFor":315,"__hash__":317},"services_en/en/_data/services/extensions_evaluation-report.yaml","Evaluation Report",{"primary":263,"secondary":159},"Request evaluation",[265,266],"Metrics report (precision/recall/F1 as relevant)","Error analysis + recommendations",[268],{"edition":269,"price":270},"Add-on","1 500 €",[272],"Model retraining (separate service)",[274],{"q":275,"a":276},"Do you provide raw numbers and plots?","Yes, report includes tables and key plots.",[278],"One review call",{},"Model performance insights",21,[283],"Model outputs on a labeled set or evaluation dataset","from 1 500 €",[286,291,296,301],{"title":287,"bullets":288},"Inputs",[289,290],"Collect predictions + labels","Confirm metrics",{"title":292,"bullets":293},"Analysis",[294,295],"Compute metrics","Identify failure modes",{"title":297,"bullets":298},"Report",[299,300],"Deliver report","Recommendations",{"title":302,"bullets":303},"Review",[304],"Short walkthrough","extensions","evaluation-report","en/_data/services/extensions_evaluation-report",[309],"generic",[311,312,313],"add-on","evaluation","metrics","3-5 days",[316],"You need clarity on model performance and failure modes","6lPwICsf2-b3PQKW67kHuJ22Bmei3hHWPnXoIy_FinU",{"id":319,"title":320,"cta":321,"deliverables":323,"editions":326,"excluded":329,"extension":180,"faq":331,"included":335,"meta":337,"oneLiner":338,"order":339,"prerequisites":340,"price":343,"pricingSummary":199,"processSteps":344,"relatedProducts":199,"serviceGroup":305,"slug":364,"stem":365,"systems":366,"tags":367,"timeline":370,"variants":199,"whoFor":371,"__hash__":373},"services_en/en/_data/services/extensions_fine-tuned-model.yaml","Fine-tuned Model",{"primary":322,"secondary":159},"Request fine-tuned model",[324,325],"Fine-tuned model artifact","Benchmark summary",[327],{"edition":269,"price":328},"2 500 €",[330],"Dataset creation/labeling",[332],{"q":333,"a":334},"Is this enough for production?","Often yes if constraints are clear; production rollout benefits from integration + monitoring.",[336],"One training run + benchmark",{},"Deployment-ready AI",20,[341,342],"Dataset available in agreed format","Target runtime constraints (CPU/GPU, latency)","from 2 500 €",[345,350,355,360],{"title":346,"bullets":347},"Input Review",[348,349],"Verify dataset format","Confirm constraints",{"title":351,"bullets":352},"Training",[353,354],"Fine-tune model","Run benchmarks",{"title":356,"bullets":357},"Delivery",[358,359],"Deliver model artifact","Provide benchmark summary",{"title":361,"bullets":362},"Optional Integration",[363],"Integration is separate service","fine-tuned-model","en/_data/services/extensions_fine-tuned-model",[309],[311,368,369],"model","deployment","1-2 weeks",[372],"You already have a dataset and want a deployable model artifact","PX5P_s610dO3KctUFJKb21WCn4WlrX-RDzsChEeYUsA",{"id":375,"title":376,"cta":377,"deliverables":379,"editions":383,"excluded":387,"extension":180,"faq":389,"included":393,"meta":395,"oneLiner":396,"order":397,"prerequisites":398,"price":386,"pricingSummary":199,"processSteps":401,"relatedProducts":199,"serviceGroup":305,"slug":422,"stem":423,"systems":424,"tags":425,"timeline":429,"variants":199,"whoFor":430,"__hash__":432},"services_en/en/_data/services/extensions_ongoing-updates.yaml","Ongoing Updates",{"primary":378,"secondary":159},"Request ongoing updates",[380,381,382],"Periodic dataset and logic updates","Release notes and change summary","Lightweight evaluation after updates",[384],{"edition":385,"price":386},"Subscription","from 1 000 €/month",[388],"Large new feature development",[390],{"q":391,"a":392},"Can this include new tags?","Yes, within reason. Large taxonomy changes may require a separate project.",[394],"1 update cycle per month (baseline)",{},"Continuous improvement",23,[399,400],"Change log of tags/fields/workflows","Access to recent samples or evaluation set",[402,407,412,417],{"title":403,"bullets":404},"Intake",[405,406],"Collect changes","Prioritize",{"title":408,"bullets":409},"Update",[410,411],"Apply changes","Run checks",{"title":413,"bullets":414},"Evaluate",[415,416],"Quick evaluation","Document impact",{"title":418,"bullets":419},"Release",[420,421],"Deliver update","Release notes","ongoing-updates","en/_data/services/extensions_ongoing-updates",[309],[426,427,428],"subscription","updates","maintenance","monthly",[431],"You want to keep models aligned with business changes without re-projecting everything","G6s8oVbgQBWtCKmIdUHHyqYt45ssNnZXvur82YtVPjY",{"id":434,"title":435,"cta":436,"deliverables":438,"editions":442,"excluded":445,"extension":180,"faq":447,"included":451,"meta":453,"oneLiner":454,"order":455,"prerequisites":456,"price":458,"pricingSummary":199,"processSteps":459,"relatedProducts":477,"serviceGroup":305,"slug":480,"stem":481,"systems":482,"tags":483,"timeline":486,"variants":199,"whoFor":487,"__hash__":489},"services_en/en/_data/services/extensions_system-tuning.yaml","System Tuning",{"primary":437,"secondary":159},"Request system tuning",[439,440,441],"Optimize data formats and imports for target system","Improve mapping reliability + edge case handling","Short tuning report",[443],{"edition":269,"price":444},"2 000 €",[446],"New integrations to additional systems",[448],{"q":449,"a":450},"Is this useful without retraining the model?","Yes. Many wins come from schema alignment and better action mapping.",[452],"One tuning iteration within scope",{},"Platform-specific optimization",22,[457],"Access to current mapping and sample tickets","from 2 000 €",[460,464,469,473],{"title":302,"bullets":461},[462,463],"Assess current mapping + imports","Collect failure cases",{"title":465,"bullets":466},"Tuning",[467,468],"Adjust schema + mappings","Improve robustness",{"title":212,"bullets":470},[471,472],"Re-run acceptance suite","Document changes",{"title":217,"bullets":474},[475,476],"Provide tuning report","Next steps",[478],{"slug":223,"relationshipDescription":479},"This tuning service optimizes ticket system configurations for better performance with Open Ticket AI integrations.","system-tuning","en/_data/services/extensions_system-tuning",[229,230,231],[311,484,485],"tuning","imports","3-7 days",[488],"You want better mappings, imports, and action reliability in your ticket system","kw3dDRbHAdGNIr7NWjWpJWth2u2ZVMg9yU6gXn5dkCY",{"id":491,"title":492,"cta":493,"deliverables":495,"editions":497,"excluded":501,"extension":180,"faq":503,"included":507,"meta":509,"oneLiner":510,"order":511,"prerequisites":512,"price":515,"pricingSummary":199,"processSteps":516,"relatedProducts":199,"serviceGroup":531,"slug":532,"stem":533,"systems":534,"tags":535,"timeline":538,"variants":199,"whoFor":539,"__hash__":541},"services_en/en/_data/services/flexible_hourly-engineering.yaml","Hourly Engineering",{"primary":494,"secondary":159},"Request hourly support",[496],"Engineering work billed hourly",[498],{"edition":499,"price":500},"On-demand","200 €/hour",[502],"Anything not agreed in task list",[504],{"q":505,"a":506},"Do you offer fixed-price instead?","Yes for repeatable scopes. Hourly is best for uncertain or changing tasks.",[508],"Time tracking + weekly summary",{},"Flexible expert support",30,[513,514],"Clear task description","Access where needed","from 200 €/hour",[517,521,525,528],{"title":403,"bullets":518},[519,520],"Clarify task","Confirm access",{"title":522,"bullets":523},"Execute",[524],"Implement changes",{"title":302,"bullets":526},[527],"Verify results",{"title":217,"bullets":529},[530],"Summary + next steps","flexible","hourly-engineering","en/_data/services/flexible_hourly-engineering",[229,230,231,232],[536,537],"hourly","support","as needed",[540],"You need small fixes, reviews, or quick expert help outside fixed scopes","6_LepQbkRTnPCXnJ29wZgcE4GbVAgVrfBrhHHfuDBX0",{"id":543,"title":544,"cta":545,"deliverables":547,"editions":551,"excluded":557,"extension":180,"faq":559,"included":563,"meta":565,"oneLiner":566,"order":567,"prerequisites":568,"price":570,"pricingSummary":199,"processSteps":571,"relatedProducts":199,"serviceGroup":531,"slug":589,"stem":590,"systems":591,"tags":592,"timeline":429,"variants":199,"whoFor":593,"__hash__":596},"services_en/en/_data/services/flexible_ongoing-support.yaml","Ongoing Support",{"primary":546,"secondary":159},"Request support plan",[548,549,550],"Async support channel","Minor fixes within scope","Monthly review summary",[552],{"edition":167,"price":553,"scope":554},"400 €/month",[555,556],"Async support","Minor fixes",[558],"Large projects and migrations",[560],{"q":561,"a":562},"Do you offer SLAs?","Yes, depending on tier. Enterprise tiers can include response windows.",[564],"Response targets depending on tier",{},"Subscription-based coverage",31,[569],"Support scope definition (systems, environments)","from 400 €/month",[572,577,581,585],{"title":573,"bullets":574},"Onboarding",[575,576],"Define scope","Set communication channel",{"title":46,"bullets":578},[579,580],"Handle requests","Apply fixes",{"title":302,"bullets":582},[583,584],"Monthly summary","Next priorities",{"title":586,"bullets":587},"Improve",[588,300],"Small optimizations","ongoing-support","en/_data/services/flexible_ongoing-support",[229,230,231,232],[426,537,234],[594,595],"You want predictable support availability without ad-hoc requests","You need a known response channel and small continuous improvements","RTtaP-C6PmifwGu5MBF8VpH_kY2Avdl3OuinTJmPQLE",{"id":598,"title":599,"cta":600,"deliverables":602,"editions":607,"excluded":615,"extension":180,"faq":618,"included":625,"meta":629,"oneLiner":630,"order":631,"prerequisites":632,"price":610,"pricingSummary":199,"processSteps":636,"relatedProducts":655,"serviceGroup":658,"slug":659,"stem":660,"systems":661,"tags":666,"timeline":669,"variants":199,"whoFor":670,"__hash__":674},"services_en/en/_data/services/integration_integration-enterprise-custom.yaml","Integration Package",{"primary":601,"secondary":159},"Request enterprise integration",[603,604,605,606],"Integration design + adapter implementation","Field mapping and trigger strategy","Validation plan + acceptance test results","Enterprise-ready handover docs",[608],{"edition":609,"price":610,"scope":611},"Enterprise","Starting at 5 000 €",[612,613,614],"Custom systems","Non-standard APIs","Dedicated validation",[616,617],"Company-wide rollout project management","Large-scale historical backfill unless scoped separately",[619,622],{"q":620,"a":621},"Can you integrate multiple systems?","Yes, but each system is a scoped integration. We start with one and templatize the rest.",{"q":623,"a":624},"Do you support ServiceNow/JSM enterprise auth?","Yes, with appropriate sandbox access and auth constraints documented upfront.",[626,627,628],"One primary system integration","Basic observability (logs + metrics endpoints where possible)","One iteration round based on validation results",{},"Enterprise / Custom Integration",41,[633,634,635],"API docs + sandbox environment (preferred)","Auth method details (OAuth/SSO/token)","Sample payloads + required field mapping",[637,642,647,651],{"title":638,"bullets":639},"Discovery",[640,641],"API constraints and auth method","Mapping and trigger design",{"title":643,"bullets":644},"Adapter Build",[645,646],"Implement adapter and mapping layer","Integrate into OTAI/OTA pipeline",{"title":212,"bullets":648},[649,650],"Acceptance suite","Fixes and hardening",{"title":217,"bullets":652},[653,654],"Docs + runbook","Optional support plan",[656],{"slug":223,"relationshipDescription":657},"This enterprise integration service enables Open Ticket AI to work with custom or non-standard ticket systems like Jira, Zendesk, or ServiceNow.","integration","integration-enterprise-custom","en/_data/services/integration_integration-enterprise-custom",[662,663,664,665,232],"jira","zendesk","freshdesk","servicenow",[667,658,668],"enterprise","adapters","2-6 weeks",[671,672,673],"You need AI tagging in systems with non-standard APIs or enterprise constraints","You require custom adapters and deeper validation","You want an integration plan that scales across teams/projects","5v9YafTtuh97AiBgJZJxVc4cGMok5U7HfgQ_IFjJi-s",{"id":676,"title":599,"cta":677,"deliverables":679,"editions":685,"excluded":695,"extension":180,"faq":699,"included":709,"meta":713,"oneLiner":714,"order":715,"prerequisites":716,"price":458,"pricingSummary":199,"processSteps":720,"relatedProducts":738,"serviceGroup":658,"slug":741,"stem":742,"systems":743,"tags":744,"timeline":486,"variants":747,"whoFor":760,"__hash__":764},"services_en/en/_data/services/integration_integration-standard-stack.yaml",{"primary":678,"secondary":159},"Request integration",[680,681,682,683,684],"Connect Open Ticket AI to one ticket system","Map tags to technical fields (queue/category/priority/custom fields)","Configure triggers (e.g., on ticket creation/update)","Smoke tests with real examples","Handover checklist + short documentation",[686,691],{"edition":167,"price":444,"scope":687},[688,689,690],"1 ticket system","1 trigger","Basic testing + handover",{"edition":172,"price":168,"scope":692},[688,693,694],"Up to 3 triggers","Extended testing",[696,697,698],"Custom UI development inside the ticket system","Complex SSO/IdP rollouts","Deep data cleanup / labeling projects",[700,703,706],{"q":701,"a":702},"Do you support on-prem installations?","Yes. Typical setup is Docker/VM on-prem with network allowlisting/VPN.",{"q":704,"a":705},"How do you validate the integration?","We run a small acceptance suite with real ticket examples and document results.",{"q":707,"a":708},"Can we start with one trigger and add more later?","Yes. Starter is one trigger; Pro expands triggers and testing depth.",[710,711,712],"1 environment (prod) or prod + simple staging if available","Standard auth (token/basic/standard webservice)","Basic monitoring hooks (health endpoint + log location)",{},"Standard Stack Integration",40,[717,718,719],"Admin access to ticket system (UI) + API/Webservice access if required","One test account + test queue for validation","Network access between ticket system and OTAI (VPN or allowlist)",[721,726,731,735],{"title":722,"bullets":723},"Kickoff + Access",[724,725],"Confirm target system + integration path","Collect access, endpoints, test tickets",{"title":727,"bullets":728},"Mapping + Trigger Setup",[729,730],"Field mapping and tag routing","Trigger configuration and first runs",{"title":212,"bullets":732},[733,734],"Test cases + edge cases","Fixes and tuning inside scope",{"title":217,"bullets":736},[653,737],"Next steps (automation pack, tuning, support)",[739],{"slug":223,"relationshipDescription":740},"This integration service connects Open Ticket AI to your OTOBO, Znuny, or Zammad ticket system for automated classification and routing.","integration-standard-stack","en/_data/services/integration_integration-standard-stack",[229,230,231],[745,746,658],"go-live","on-prem",{"otobo":748,"znuny":752,"zammad":756},{"label":240,"notes":749},[750,751],"Field mapping to Dynamic Fields + Queue/State/Priority supported","Webservices/GenericInterface options depending on version",{"label":245,"notes":753},[754,755],"OTRS-stack compatible integration paths","Package/Repo specifics checked during kickoff",{"label":250,"notes":757},[758,759],"REST API integration + webhooks where applicable","Field mapping depends on custom object model",[761,762,763],"You run OTOBO, Znuny, or Zammad and want AI tagging in production quickly","You need a clean handover with working triggers and mapping","You want fixed-price scope with low coordination effort","BkC49U8Zv3Yqn_hOpdJ5Dd4gcC6oH3I1hGPO4VN6yVA",{"id":766,"title":767,"cta":768,"deliverables":770,"editions":773,"excluded":777,"extension":180,"faq":779,"included":783,"meta":785,"oneLiner":786,"order":787,"prerequisites":199,"price":776,"pricingSummary":199,"processSteps":788,"relatedProducts":199,"serviceGroup":803,"slug":804,"stem":805,"systems":806,"tags":807,"timeline":809,"variants":199,"whoFor":810,"__hash__":813},"services_en/en/_data/services/model-development_custom-development.yaml","Custom Development",{"primary":769,"secondary":159},"Request proposal",[771,772],"Scope definition + proposal","Bespoke implementation",[774],{"edition":775,"pricing":776},"Custom","Quote-based",[778],"Anything not explicitly in the proposal",[780],{"q":781,"a":782},"Do you offer fixed price here?","Only if scope is stable. Otherwise quote-based milestones.",[784],"Quote-based planning",{},"Special Requirements",62,[789,793,797,800],{"title":638,"bullets":790},[791,792],"Requirements and constraints","Success metrics",{"title":794,"bullets":795},"Proposal",[796],"Plan, timeline, pricing",{"title":207,"bullets":798},[799],"Build and validate",{"title":217,"bullets":801},[802],"Docs and support options","model-development","custom-development","en/_data/services/model-development_custom-development",[309],[232,808],"engineering","variable",[811,812],"You have non-standard requirements not covered by packages","You need architecture work, long-term programs, or bespoke constraints","Y9cgKDDTxS-OG1BOs4agKy0IZ7dElQBRwpj1Stqdq2A",{"id":815,"title":816,"cta":817,"deliverables":819,"editions":824,"excluded":830,"extension":180,"faq":832,"included":836,"meta":838,"oneLiner":839,"order":840,"prerequisites":841,"price":826,"pricingSummary":199,"processSteps":844,"relatedProducts":199,"serviceGroup":803,"slug":864,"stem":865,"systems":866,"tags":867,"timeline":869,"variants":199,"whoFor":870,"__hash__":874},"services_en/en/_data/services/model-development_custom-tag-model-real-data.yaml","Custom Tag Model",{"primary":818,"secondary":159},"Request enterprise model",[820,821,822,823],"Dataset preparation (cleaning, schema alignment)","Model training + evaluation","Accuracy optimization against acceptance metrics","Deployment-ready model artifact",[825],{"edition":609,"price":826,"scope":827},"Starting at 30 000 €",[828,829],"10k-50k+ labeled tickets","Custom evaluation metrics",[831],"Large-scale labeling operations by us (unless separately scoped)",[833],{"q":834,"a":835},"Do you train on-prem?","Possible depending on constraints; otherwise we define a compliant processing setup.",[829,837],"One optimization round",{},"Real Data Training",61,[842,843],"Data access + DPA/processing agreement if required","Labeling rules and ground truth approach",[845,850,855,860],{"title":846,"bullets":847},"Dataset Readiness",[848,849],"Assess data quality","Define labeling and splits",{"title":851,"bullets":852},"Training + Eval",[853,854],"Train model","Run evaluation",{"title":856,"bullets":857},"Optimization",[858,859],"Tune thresholds/prompts","Failure mode analysis",{"title":356,"bullets":861},[862,863],"Deliver model + report","Integration guidance","custom-tag-model-real-data","en/_data/services/model-development_custom-tag-model-real-data",[309],[368,868,312],"real-data","6-12 weeks",[871,872,873],"You want maximum alignment with real-world ticket patterns","You have 10k-50k+ labeled tickets (or want support building them)","You require custom evaluation metrics and optimization","byQK3jnGpuHzuyMlb0pAcDP0gQLaKGiHc1ew-cxWjus",{"id":876,"title":816,"cta":877,"deliverables":879,"editions":883,"excluded":889,"extension":180,"faq":891,"included":895,"meta":898,"oneLiner":899,"order":900,"prerequisites":901,"price":904,"pricingSummary":199,"processSteps":905,"relatedProducts":923,"serviceGroup":803,"slug":926,"stem":927,"systems":928,"tags":929,"timeline":932,"variants":199,"whoFor":933,"__hash__":936},"services_en/en/_data/services/model-development_custom-tags-model-synthetic.yaml",{"primary":878,"secondary":159},"Request custom model",[880,881,882,823],"Custom tag definitions aligned to your workflow","Synthetic-first training pipeline","Evaluation report with metrics",[884],{"edition":172,"price":885,"scope":886},"20 000 €",[887,888],"Custom tag schema","Model training & evaluation",[890],"Long-term MLOps program (separate)",[892],{"q":893,"a":894},"Will synthetic-only match our real tickets?","Often good for first production versions; hybridization improves alignment if you can provide samples.",[896,897],"One model iteration round","Deployment guidance",{},"Synthetic Training Focus",60,[902,903],"Custom tag schema and definitions","Acceptance metrics (precision/recall targets or business KPIs)","from 20 000 €",[906,911,916,920],{"title":907,"bullets":908},"Taxonomy + Metrics",[909,910],"Define tags + acceptance metrics","Define evaluation set strategy",{"title":912,"bullets":913},"Data + Training",[914,915],"Generate training data","Train and validate model",{"title":917,"bullets":918},"Evaluation",[919,295],"Report metrics",{"title":356,"bullets":921},[922,863],"Deliver model + docs",[924],{"slug":223,"relationshipDescription":925},"This service develops custom AI models using synthetic data, similar to how Open Ticket AI can be customized for specific ticket classification needs.","custom-tags-model-synthetic","en/_data/services/model-development_custom-tags-model-synthetic",[309],[368,930,931],"custom-tags","training","4-8 weeks",[934,935],"You have a custom taxonomy and want a dedicated tagging model","You want fast iteration using synthetic-first training","BwSMTsVqk79I29hlthatwZvteV7h1A8snZ9N4F49jHw",{"id":938,"title":939,"cta":940,"deliverables":942,"editions":947,"excluded":954,"extension":180,"faq":956,"included":960,"meta":963,"oneLiner":964,"order":965,"prerequisites":966,"price":949,"pricingSummary":199,"processSteps":969,"relatedProducts":199,"serviceGroup":988,"slug":989,"stem":990,"systems":991,"tags":992,"timeline":932,"variants":199,"whoFor":994,"__hash__":998},"services_en/en/_data/services/synthetic-data_complex-use-cases.yaml","Synthetic Data Pack",{"primary":941,"secondary":159},"Request enterprise dataset",[943,944,945,946],"100k-500k+ tickets","Advanced constraints + balancing strategies","Optional agent replies","Full documentation + dataset splits",[948],{"edition":609,"price":949,"scope":950},"Starting at 15 000 €",[951,952,953],"Custom constraints","Full documentation","Dataset splits",[955],"Custom model development (separate service)",[957],{"q":958,"a":959},"Can you simulate our exact processes?","Yes, to the extent your constraints are specified. This pack is designed for that.",[961,962],"Workshop to capture constraints","Dataset splits + reproducibility notes",{},"Enterprise Strategy",12,[967,968],"Detailed constraints and taxonomy","Approval process for dataset specs",[970,975,980,985],{"title":971,"bullets":972},"Constraints Workshop",[973,974],"Capture constraints and edge cases","Define balancing strategy",{"title":976,"bullets":977},"Generation Iterations",[978,979],"Generate + validate","Adjust constraints",{"title":981,"bullets":982},"Finalization",[983,984],"Freeze dataset","Produce docs and splits",{"title":356,"bullets":986},[987],"Deliver dataset + reproducibility summary","synthetic-data","complex-use-cases","en/_data/services/synthetic-data_complex-use-cases",[309],[988,667,993],"constraints",[995,996,997],"You need enterprise-grade synthetic datasets with strict constraints","You want balancing strategies + realistic noise modeling","You need datasets that reflect complex workflows and edge cases","U_q8VMx4tpEqbbsMytIrAGbPEuD-Pii0kEnXQ3p4iys",{"id":1000,"title":939,"cta":1001,"deliverables":1003,"editions":1009,"excluded":1015,"extension":180,"faq":1017,"included":1021,"meta":1024,"oneLiner":1025,"order":1026,"prerequisites":1027,"price":1030,"pricingSummary":199,"processSteps":1031,"relatedProducts":1049,"serviceGroup":988,"slug":1052,"stem":1053,"systems":1054,"tags":1055,"timeline":1057,"variants":199,"whoFor":1058,"__hash__":1061},"services_en/en/_data/services/synthetic-data_high-volume-training.yaml",{"primary":1002,"secondary":159},"Request production-ready data",[1004,1005,1006,1007,1008],"50k-100k synthetic tickets","Controlled label distributions","Multilingual expansion","Schema aligned to queues & SLAs","One revision round",[1010],{"edition":172,"price":1011,"scope":1012},"7 500 €",[1013,1014],"50k-100k tickets","1 revision round",[1016],"Advanced enterprise constraints (see Enterprise Strategy)",[1018],{"q":1019,"a":1020},"Can you guarantee perfect realism?","We aim for usefulness and controlled distributions. Exact realism depends on provided constraints.",[1022,1023],"Train/val/test split","Basic noise modeling",{},"Production Ready",11,[1028,1029],"Schema + tag taxonomy","Target volume range and desired splits","from 7 500 €",[1032,1037,1042,1046],{"title":1033,"bullets":1034},"Specification",[1035,1036],"Confirm volume and constraints","Confirm languages and schema",{"title":1038,"bullets":1039},"Generation + Checks",[1040,1041],"Generate dataset","Quality checks + distribution verification",{"title":1043,"bullets":1044},"Revision",[1008,1045],"Re-run checks",{"title":356,"bullets":1047},[1048],"Final dataset + docs",[1050],{"slug":223,"relationshipDescription":1051},"This service provides large-scale synthetic datasets optimized for training production-grade AI models like Open Ticket AI.","high-volume-training","en/_data/services/synthetic-data_high-volume-training",[309],[988,931,1056],"multilingual","2-4 weeks",[1059,1060],"You want synthetic data sized for production-grade training","You need controlled label distributions and schema alignment","a_fAgGhtX8-gyIfentBQQVqVShIrroDdVqP7h1-qajI",{"id":1063,"title":939,"cta":1064,"deliverables":1066,"editions":1071,"excluded":1079,"extension":180,"faq":1082,"included":1089,"meta":1091,"oneLiner":1092,"order":1093,"prerequisites":1094,"price":198,"pricingSummary":199,"processSteps":1097,"relatedProducts":1114,"serviceGroup":988,"slug":1117,"stem":1118,"systems":1119,"tags":1120,"timeline":370,"variants":199,"whoFor":1122,"__hash__":1126},"services_en/en/_data/services/synthetic-data_standard-stack.yaml",{"primary":1065,"secondary":159},"Request synthetic data pack",[1067,1068,1069,1070],"Synthetic ticket dataset with realistic distributions","Multilingual generation","JSONL or CSV delivery","Dataset documentation (schema + generation settings summary)",[1072,1075],{"edition":167,"price":168,"scope":1073},[1074],"Up to 20k tickets",{"edition":172,"price":173,"scope":1076},[1077,1078],"Up to 40k tickets","Custom field weighting",[1080,1081],"Enterprise constraints modeling (see Enterprise Strategy)","Ground-truth alignment with proprietary processes without specs",[1083,1086],{"q":1084,"a":1085},"Is this safe without using our real tickets?","Yes. This pack can be done without customer data.",{"q":1087,"a":1088},"Can you match our exact field schema?","Yes, if you provide the schema and constraints.",[1090],"One round of minor adjustments within scope",{},"Evaluation & Testing",10,[1095,1096],"Target schema (fields, tags, languages)","Distribution goals (categories, priorities, queues)",[1098,1102,1106,1110],{"title":1033,"bullets":1099},[1100,1101],"Confirm schema + tag taxonomy","Define distributions",{"title":1103,"bullets":1104},"Generation",[1040,1105],"Run consistency checks",{"title":356,"bullets":1107},[1108,1109],"Provide JSONL/CSV","Provide documentation",{"title":1111,"bullets":1112},"Optional Review",[1113],"Adjust weighting within scope",[1115],{"slug":223,"relationshipDescription":1116},"This synthetic data service creates realistic ticket datasets that can be used to evaluate and train models like Open Ticket AI before using real customer data.","standard-stack","en/_data/services/synthetic-data_standard-stack",[309],[988,312,1121],"benchmarking",[1123,1124,1125],"You need realistic data to evaluate models before using real tickets","You want multilingual coverage and controlled distributions","You need JSONL/CSV datasets aligned to your schema","aPK4P-5e5zWqq-Hd-nmo0TI5meAwT67nhFUUcXAwlhk",[1128],{"id":1129,"extension":5,"meta":1130,"products":1131,"stem":1181,"__hash__":1182},"products_en/en/_data/products.yml",{},[1132],{"id":1133,"name":80,"tagline":1134,"description":1135,"url":82,"features":1136,"benefits":1161,"targetAudience":1167,"integrations":1171},"open-ticket-ai","On Premise Ticket AI","Open Ticket AI revolutionizes ticket management by leveraging advanced AI to automatically classify and route support tickets. \nDesigned specifically for Open Source Ticketsystems, it integrates seamlessly to enhance efficiency, reduce response times, \nand ensure tickets reach the right agents faster.\n",[1137,1141,1145,1149,1153,1157],{"title":1138,"description":1139,"icon":1140},"AI-Powered Classification","Uses machine learning to accurately categorize tickets based on content, priority, and context.","fa-solid:brain",{"title":1142,"description":1143,"icon":1144},"Seamless Integration","Native support for OTOBO and Znuny with easy setup and minimal configuration.","fa-solid:plug",{"title":1146,"description":1147,"icon":1148},"Automated Routing","Routes tickets to appropriate teams or agents based on predefined rules and AI insights.","fa-solid:route",{"title":1150,"description":1151,"icon":1152},"Real-time Processing","Processes tickets in real-time for immediate action and improved SLA compliance.","fa-solid:bolt",{"title":1154,"description":1155,"icon":1156},"Customizable Models","Train and customize AI models to fit your specific ticket taxonomy and workflows.","fa-solid:cogs",{"title":1158,"description":1159,"icon":1160},"Analytics Dashboard","Provides insights into ticket trends, performance metrics, and system efficiency.","fa-solid:chart-bar",[1162,1163,1164,1165,1166],"Reduce manual triage time by up to 70%","Improve first-contact resolution rates","Enhance customer satisfaction with faster responses","Scale support operations without proportional headcount increases","Maintain consistent ticket handling across teams",[1168,1169,1170],"IT service management teams using OTOBO or Znuny","Companies with high ticket volumes seeking automation","Organizations looking to improve support efficiency",[1172,1174,1176,1178],{"name":240,"description":1173},"Full integration with OTOBO ticket system via APIs and webhooks.",{"name":245,"description":1175},"Seamless connection to Znuny for automated ticket handling.",{"name":250,"description":1177},"Integration into Zammad Ticketsystem",{"name":1179,"description":1180},"Custom Systems","API-based integration with other ticket systems upon request.","en/_data/products","3ZqwxayeCm68e_IdjPKIv8uXoo6dJQYH5Y6HGlYJBSE",1777991881438]