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Discovery & Strategy

Before you deploy AI, you need to understand your data. We assess your operational landscape: what's structured, what's siloed, what's missing, and design the architecture that makes AI deployment possible.

What you get

Deliverables

Operational data audit

A structured review of your current processes, tools, and data flows: what's structured, what's siloed, and where AI readiness breaks down.

AI-readiness assessment

An honest look at your existing stack through an AI lens: what's ready for agents, what blocks deployment, and what needs fixing first.

Data & automation map

A visual map of your operational data flows and where agent integration would unlock the most value.

Data architecture roadmap

A phased, prioritised plan for building the data layer, structured for AI from day one, ready to hand to any builder.

Tool recommendations

Platform-specific recommendations backed by your use case, team size, and AI deployment goals, not commission.

Executive summary

A one-page summary of your AI readiness gaps and the architecture path forward, written for leadership.

Who this is for

  • Teams drowning in manual processes with no clear starting point
  • Leaders who know they need automation but don't know what to build first
  • Companies evaluating Airtable and no-code tools for the first time
  • Ops teams inheriting a messy stack from a previous team
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