--- title: AI and Web3 Strategy Consulting | Avinya Labs description: AI and Web3 strategy consulting by Avinya Labs: readiness assessment, use-case identification and architecture planning before you commit to a build. url: /service-pages/service-consulting-ai-strategy.html --- [Consulting](/service-pages/service-consulting.html) / AI & Web3 strategy # Know if you are ready to build, before you build. Readiness assessment, use-case identification and architecture planning for AI and Web3 initiatives, before any code is written. [Book a call](https://calendly.com/abbylester/30-mins-meeting) [See the work](/service-pages/service-consulting-ai-strategy.html#solutions) ## What the strategy work covers. From the first question to a roadmap your team can use. ### Readiness assessment An honest read on whether AI or Web3 is the right tool for the workflow in question. ### Use-case identification Find which parts of the operation are worth automating first. ### Data readiness Check the data exists, is accessible, and is good enough to build on. ### Architecture planning Define the system boundary and integration points before a build begins. ### Build versus buy Compare custom development with existing tools for your case. ### Risk & compliance review Surface regulatory and operational risks early. ### Cost & effort estimate A realistic view of what the build and running costs would be. ### Roadmap A phased plan, starting with the step that proves value fastest. ### Handoff A written roadmap ready for your team, or a move into a delivery build. ## Delivered work behind our advice. Our recommendations draw on systems we have built. These are delivery engagements, not consulting projects. 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 · Legal ### Research & review assistant Citation-grounded answers, each one traced back to its source document. ~50% faster review time Link: /case-studies/ai-legal-assistant.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 ## Not sure if you are ready to build? [Book a call](https://calendly.com/abbylester/30-mins-meeting) ## How the strategy work runs. Four steps, ending in a roadmap. ### Intake Understand the specific decision you are trying to make. Intake notesDone - The decision to make - Constraints and timeline - Who needs to sign off ### Assessment Readiness, architecture or regulatory review, scoped to that question. AssessmentDone - Current state reviewed - Options compared - Risks identified ### Recommendation A clear, honest recommendation, including "do not build this yet" when that is the answer. RecommendationDone - Clear recommendation - Trade-offs explained - Rough cost and effort ### Handoff or build A written handoff to your team, or a direct move into a delivery engagement. Next stepDone - Written roadmap - Architecture outline - Optional delivery plan ## Why teams choose us for strategy. Advice from people who ship. ### Honest, not sales-driven We will say "do not build this yet" when that is the accurate read. ### Same team, start to finish The team that assesses readiness is the team that would build it. ### Grounded in delivered work Advice informed by AI and Web3 systems we have shipped, not theory. ### AI and Web3 under one roof One team that can compare both, rather than favouring the one it sells. ### Clear written output Every engagement ends with a recommendation you can act on or hand over. ## Engagement models. Pick the shape that fits where you are. Advisory only ### Scoped assessment A focused assessment and written recommendation, with no build obligation. Advisory into delivery ### Same team throughout The advisory phase moves straight into a project-based or dedicated-team build. Ongoing advisory ### Recurring input A standing relationship for teams that need regular architecture or regulatory input. ## 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 & Web3 strategy FAQs. ### What do we get at the end? A written recommendation and roadmap: what to build first, what to leave, the architecture outline, and a rough cost and effort view. ### What if the answer is do not build? Then we say so, with the reasons. That is a useful outcome too. ### Do we have to build with you afterwards? No. The roadmap is yours to take to your own team or another partner. ### How long does a strategy engagement take? It depends on the question and the number of systems involved. We agree the scope and timeline up front. ## Ready to turn your vision into reality? Tell us the decision you are trying to make. We'll give you an honest read on whether you are ready to build. [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)