--- title: AI Readiness Assessment for Businesses | Avinya Labs description: An AI readiness assessment from Avinya Labs: your use cases, data, systems, team and governance reviewed, with a written report on what to build first. url: /service-pages/service-consulting-ai-readiness.html --- [Consulting](/service-pages/service-consulting.html) / AI readiness assessment # Find out if you are ready for AI, before you spend on it. A scoped assessment of where AI would pay off in your business and what has to be true first: the data, the systems, the people and the controls. You get a written report, including "not yet" when that is the honest answer. Want a quick read first? [Take the free 4-minute check](/tools/ai-readiness-assessment-tool.html). [Book a call](https://calendly.com/abbylester/30-mins-meeting) [Contact sales](https://calendly.com/abbylester/30-mins-meeting) ## What the assessment looks at. What decides whether an AI project ships. ### Use cases Where AI would save time or money, ranked by value, effort and risk. ### Data Whether the data each use case needs exists, can be reached and is good enough. ### Systems How AI would connect to the tools you already run, and what that integration takes. ### People and process Who would use it, who would review its output, and what changes in their day. ### Governance and risk Approval checkpoints, audit trails and the decisions that must stay with people. ### Build versus buy Where an existing tool is enough, and where custom work earns its cost. ### Autonomy per task Which tasks suit a fixed workflow, which need a person to review, and which suit an agent. ### Cost and effort A realistic view of build and running costs, including model usage. ### First step The one use case to start with, and how to prove it works quickly. ## Match the autonomy to the task. Part of every assessment: not every task needs an agent. 1. L1**Workflow**A fixed, auditable path. 2. L2**Assistant**AI drafts. A person reviews. 3. L3**Supervised agent**AI acts and flags exceptions. 4. L4**Autonomous**Routine, low-risk, monitored. 5. Human-led**People decide**AI supports the analysis. ### Routine data entry and mapping A fixed, auditable workflow is usually enough. L1 Workflow ### Drafting documents and replies AI drafts. A person reviews and sends. L2 Assistant ### Evidence-heavy review Agents check every item and flag exceptions for people. L3 Supervised agent ### Judgement and approvals Stay with people. AI supports the analysis. Human-led ## Delivered work behind our advice. Our recommendations draw on systems we have built. These are delivery engagements, not consulting projects. 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 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 ## Not sure where AI will pay off in your business? [Book a call](https://calendly.com/abbylester/30-mins-meeting) ## How the assessment runs. Four steps, ending in a report you can act on. ### Intake Understand the business, the goals and the work people want AI to help with. Intake notes - Business goals - Candidate workflows - Who needs to sign off ### Discovery Workflows, data and systems reviewed with the people who run them. Discovery - Workflows walked through - Data sources checked - Systems mapped ### Analysis Use cases ranked, gaps found and the first step chosen. Analysis - Use cases ranked - Gaps identified - Risks and controls ### Report A written assessment with a roadmap, or a direct move into a pilot. Report - Readiness by area - First use case - Roadmap and cost view ## Why teams use us for an AI readiness assessment. Advice from people who ship AI. ### 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. ### Regulation-aware Compliance considerations are part of the advice, not a separate afterthought. ### 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. Assessment only ### A written report The assessment and roadmap, with no build obligation. Assessment into a pilot ### Same team throughout The first use case moves straight into a proof of concept. Ongoing advisory ### Recurring input Regular review as you roll out more AI across the business. ## 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 readiness assessment FAQs. ### What is an AI readiness assessment? A structured review of whether a business is ready to use AI well: which use cases are worth it, whether the data and systems can support them, who will use and review the output, and what controls are needed. ### What do we get at the end? A written report: readiness by area, use cases ranked by value and effort, the gaps to close, the first use case to start with, and a rough cost and effort view. ### What if we are not ready? Then the report says so, with the reasons and what to fix first. That is often the most useful outcome. ### Do we have to build with you afterwards? No. The report is yours to take to your own team or another partner. ### How long does an assessment take? It depends on how many workflows and systems are in scope. We agree the scope and timeline before we start. ## Ready to turn your vision into reality? Tell us what you want AI to help with. We'll tell you honestly whether you are ready, and where to start. [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)