--- title: AI Integration and Support Services | Avinya Labs description: AI integration by Avinya Labs: AI connected to your data, tools and workflows, then monitored, tuned and supported in production. ~2.5x faster processing on a delivered insurance platform. url: /service-pages/service-ai-integration.html --- [AI Development](/service-pages/service-ai-development.html) / AI integration & support # AI integration into the systems you already run. We connect AI to your data, tools and workflows, then keep it monitored, tuned and supported in production. [Book a call](https://calendly.com/abbylester/30-mins-meeting) [See the work](/service-pages/service-ai-integration.html#solutions) [~2.5x Faster processing speed](/case-studies/ai-platform-insurance-broker.html) [100%Data fully connected](/case-studies/ai-platform-insurance-broker.html) [~40%Less manual effort](/case-studies/enterprise-ai-agent-platform.html) ## AI integration services. AI that fits into your stack, and stays working. ### Integration assessment Find where AI fits into your current systems and data. ### API & data integration Connect models to the systems that hold your data. ### AI in existing products Add AI features to a product you already run. ### Data consolidation Bring siloed data into one connected workflow, as we did for an insurance broker. ### Role-based access & audit trails Control who sees what, and log every record change. ### Monitoring Track quality, cost and failures once AI runs in production. ### Ongoing tuning Adjust prompts, models and rules as your data changes. ### Model upgrades Swap or upgrade models without rebuilding the product. ### Support & maintenance A defined support window and a team that knows the system. ## Integrated AI we have shipped. Each result comes from a delivered engagement. AI · Insurance ### Full-stack AI platform for insurance Fragmented policy, claims and correspondence data connected into one structured workflow. ~2.5x faster processing Link: /case-studies/ai-platform-insurance-broker.html AI · Agent platforms ### AI agent platform Agents retrieve, reason and act across systems, with human approval before high-stakes actions. ~40% less manual effort Link: /case-studies/enterprise-ai-agent-platform.html AI · Document intelligence ### AI document intelligence Extraction and classification that sends only the exceptions to people. >80% less manual review Link: /case-studies/enterprise-document-intelligence.html ## Is your data split across disconnected tools? [Book a call](https://calendly.com/abbylester/30-mins-meeting) ## From idea to production. Four stages, with a working version reviewed at each one. ### Discovery Map the systems and data, the systems and data involved, and what good looks like. Discovery notesDone - Current systems and data flows - Where AI adds value - Constraints and access rules ### Scope & architecture Agree the architecture, success measures and delivery milestones. Solution designDone - Integration architecture - Access and audit design - Delivery milestones ### Build Build against real data, with a working version reviewed at each milestone. Working buildDone - Integrations built and tested - Quality checked on real data - Review at each milestone ### Ship & support Roll out to production with monitoring and a defined support window. Production rolloutDone - Production rollout - Monitoring and alerts - Ongoing support ## Results from our integration work. Each number links to the engagement it came from. ~2.5x Faster processing speed Insurance AI platform → Link: /case-studies/ai-platform-insurance-broker.html ~40% Less manual effort AI agent platform → Link: /case-studies/enterprise-ai-agent-platform.html >80% Reduction in manual document review Document intelligence → Link: /case-studies/enterprise-document-intelligence.html ## Engagement models. Pick the shape that fits where you are. Ongoing ### Dedicated team A dedicated team that works as an extension of yours, from first release to scale. Fixed scope ### Project-based A defined scope, milestones and delivery date for a specific product or workflow. Advisory ### Consulting & advisory Architecture and readiness advice before you commit to a build. ## What our clients say. AI platform for an insurance broker > “Avinya Labs built our full-stack AI solution, delivering scalable infrastructure, optimized AI workflows, and a seamless user experience. Their expertise accelerated our launch and significantly reduced execution risk.” SandraProject lead, Insurance broker Result~2.5x Faster processing speed [Read case study →](/case-studies/ai-platform-insurance-broker.html) AI chatbot for a travel platform > “Avinya Labs built our AI travel chatbot … A highly capable team that delivers ahead of the curve.” LauraCo-founder, Travel platform [Read case study →](/case-studies/ai-travel-chatbot.html) ## AI integration FAQs. ### Can you add AI to our existing product? Yes. We integrate through your APIs and data sources, working alongside your team or end to end. ### What does ongoing support include? Monitoring, tuning as data changes, model upgrades and fixes, within a support window we agree up front. ### Can we change AI models later? Yes. We design the integration so models can be swapped without rebuilding the product. ### How do you handle our data? Access is scoped to what the system needs, with role-based permissions and audit trails where records change. We agree data handling during discovery. ### How long does a project take? It depends on scope and integrations. We agree milestones up front and review a working version at each one. ## Ready to turn your vision into reality? Tell us the problem, the data, and where manual effort sits today. We'll map the path from MVP to scale. [Book a call](https://calendly.com/abbylester/30-mins-meeting) [See the work](/work/index.html) Or email [contact@avinyalabs.co](mailto:contact@avinyalabs.co)