AI + Data Strategy
We help enterprise leaders turn AI ambition into a sequenced, fundable plan — grounded in your data reality, aligned to frameworks like NIST AI RMF and ISO/IEC 42001, and built to ship value in quarters, not years.
What you walk away with
A prioritized AI roadmap tied to business outcomes and ROI
A target-state data and AI architecture your teams can build to
A governance model that keeps AI safe, compliant, and auditable
The problem
Most AI programs stall between the pilot and production
Leadership is under pressure to "do something with AI," but pilots rarely graduate to production, spend is hard to justify, and risk teams are nervous. The gap is almost never the model — it's the absence of a strategy that connects data readiness, use-case value, and governance.
- Dozens of ideas, no objective way to prioritize them
- Data that isn't ready for the use cases leadership wants
- No governance model, so risk and compliance block launches
- AI spend that can't be tied to measurable business value
The AICG method
How we build your AI strategy
Baseline & readiness
We assess your data, platform, talent, and governance against a 10-pillar readiness model to establish an honest, defensible starting point.
Use-case value mapping
We score candidate use cases on value, feasibility, and risk, then sequence them into a roadmap that front-loads early wins.
Target architecture
We define the data and AI reference architecture — platforms, patterns, and guardrails — your teams will build toward.
Governance & operating model
We put the policies, roles, and controls in place so AI ships safely and stays auditable as it scales.
Accelerators
Accelerators we bring
You don't start from a blank page. Our strategy engagements are powered by field-tested accelerators.
Enterprise AI Readiness Tracker
75 assessment items across 10 pillars, aligned to NIST AI RMF, ISO/IEC 42001, and the EU AI Act.
Use-case value/feasibility scoring model
A weighted rubric that turns a backlog of ideas into a defensible, sequenced roadmap.
Reference architectures
Proven target-state blueprints for Azure, AWS, and Snowflake-centric data estates.
Engagement
How to engage
Readiness sprint
A fixed 2–4 week engagement that delivers a readiness baseline and a prioritized roadmap.
Strategy retainer
Ongoing senior advisory that steers your AI program and keeps the roadmap honest.
Strategy-to-build
We hand the roadmap to our own delivery team and execute the first use cases end to end.
Proof
Related client outcomes
Let's scope your ai + data strategy engagement
Tell us where you are today and we'll map the fastest path to value.
Schedule a consultation