--- title: AI Proof of Concept (POC) Development | Avinya Labs description: AI POC development by Avinya Labs: a focused proof of concept that tests an AI idea against real data, with clear success measures agreed up front. url: /service-pages/service-ai-poc.html --- [AI Development](/service-pages/service-ai-development.html) / AI POC development # An AI proof of concept that answers one question well. A focused build that tests your AI idea against real data, with success measures agreed before any code is written. [Book a call](https://calendly.com/abbylester/30-mins-meeting) [See the work](/service-pages/service-ai-poc.html#solutions) ## AI POC services. Learn what works before committing to a full build. ### Question framing Agree the one question the POC must answer. ### Success measures Define what a good result looks like before building. ### Data readiness check Confirm the data exists and is usable. ### Rapid build A working prototype focused on the core idea. ### Evaluation Results measured against the agreed success measures. ### Findings report What worked, what did not, and what it would take to scale. ### Architecture outline A path from POC to production if the results hold. ### Cost estimate Expected running costs at production scale. ### Next-step plan A clear recommendation: scale, adjust or stop. ## Related AI work. Delivered engagements in neighbouring areas. None of them is a AI POC development project. 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 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 · Healthcare ### Multi-agent voice AI Live voice agents for scheduling, verification and follow-up calls, escalating to a person when needed. ~50% fewer manual handling cases Link: /case-studies/multi-agent-voice-ai.html ## Have an AI idea you want to test against real data? [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 idea, the systems and data involved, and what good looks like. Discovery notesDone - Goals and constraints - Data available - How success is measured ### Scope & architecture Agree the architecture, success measures and delivery milestones. Solution designDone - Approach and architecture - Evaluation plan - Delivery milestones ### Build Build against real data, with a working version reviewed at each milestone. Working buildDone - Built against real data - Results measured - Review at each milestone ### Ship & support Roll out to production with monitoring and a defined support window. Production rolloutDone - Production rollout - Monitoring - Defined support window ## 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 POC development FAQs. ### What is an AI POC? A short, focused build that tests whether an AI approach works on your real data before you invest in a full product. ### What do we get at the end? A working prototype, measured results against the agreed success measures, and a recommendation on next steps. ### 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)