AI & Data Transformation
Everyone is talking about AI. Very few are shipping it.
Define Data helps founders, CTOs and Heads of Data turn AI ambition into production — strategy, architecture and hands-on implementation from a practice that has built enterprise AI, with the AI-ready data and revenue systems underneath.
Focused on CRM and revenue systems specifically? Try the GTM systems readiness check.
The inflection point
The gap between AI ambition and AI in production is where budgets go to die.
Every leadership team is under pressure to "do AI". Most have run a pilot, bought some copilots, maybe demoed a chatbot. Very little of it has reached production, and almost none of it is trusted with real decisions.
The blockers are rarely the models. They are unclear use cases, data that cannot be trusted, missing governance — no provenance, no permissions, no audit trail — and architectures that were never designed for AI. Meanwhile the spend continues and the board keeps asking what the AI strategy is.
Closing that gap takes strategy, architecture and delivery from a team that has shipped it.
Diagnostics
You may need this if
A few of these usually show up together once AI moves from slideware to something the business is actually meant to run on.
The board is asking for an AI strategy and there is not one
AI pilots impress in demos but never reach production
Nobody can say which AI use cases are actually worth the investment
Your data cannot be trusted enough to put AI on top of it
Provenance, permissions and auditability are unanswered questions
Copilots and chatbots everywhere, measurable value nowhere
Dashboards exist, but nobody trusts the numbers
Your CRM does not reflect reality, so automation and AI multiply the mess
What gets built
Strategy, architecture and delivery — one accountable partner
Define Data designs and delivers enterprise AI — and the data and revenue systems it depends on.
AI Strategy & Advisory
Discovery workshops, use-case prioritisation and AI roadmaps that translate business challenges into production AI — not pilots.
AI Architecture & Implementation
RAG, semantic layers, context engineering, agent architecture and evaluation — designed, governed and shipped.
AI Governance
Provenance, confidence scoring, permissions and auditability — so enterprise AI can be trusted, not just demoed.
AI-Ready Data Platforms
Cloud data platforms, metadata and semantic modelling that give AI trusted enterprise information to build on.
Semantic & Data Modelling
Metadata models, master data management and governed definitions — the business context AI answers rest on.
Enterprise Integration
Salesforce, NetSuite, HubSpot, Jira and operational systems joined into one information ecosystem.
GTM & Revenue Systems
CRM architecture, lifecycle design and trusted reporting — the revenue layer, kept honest.
Trusted Reporting
Board-ready metrics on numbers leadership can actually run the business on.
Workflow Automation
Automation that removes manual reconciliation without creating noise — across CRM, data and AI workflows.
Engagements
Three ways to work together
Start with an assessment, ship a governed build, or bring in senior AI and data leadership for the long run.
AI Readiness Assessment
A focused diagnostic of your AI readiness, data foundations and governance — with a prioritised use-case roadmap.
Learn moreAI Implementation Build
A 30–90 day build that takes your highest-value AI use case from design to governed production.
Learn moreFractional AI & Data Lead
Senior AI and data leadership without a full-time hire — strategy, architecture and delivery, week to week.
Learn more
Who builds this
A practice built on shipped enterprise AI
Define Data is led by David Kernan — former Head of Data & Product at an enterprise AI platform, where the team architected RAG, semantic layers, vector search, context engineering and AI governance for 20+ enterprise customers — backed by a network of trusted specialists across data, engineering and design.
Free diagnostic
The Data & AI Readiness Check
A five-minute self-score across data foundations, AI readiness, governance, reporting trust and automation. You get an instant scored report and a practical 30/60/90-day plan for where to focus first.
Focused on CRM and revenue systems specifically? Try the GTM systems readiness check.
- 01
Data foundations
- 02
AI readiness
- 03
Governance
- 04
Reporting trust
- 05
Automation
Instant scored report plus a 30/60/90-day plan — no call required to see your results.
Start here
See where you stand on AI
Score your data and AI readiness in five minutes, or book an AI Readiness Assessment to find out what is between you and AI in production — before spending money on the wrong thing.