Strategy & Advisory
Data and AI strategy
built to be executed
The gap between data ambitions and a feasible plan
Strategy & Advisory closes that gap. We work with your data and technology leadership to turn a set of business ambitions into a prioritized, scoped, implementation-ready plan with every recommendation pressure-tested against your actual platform, data, and team capacity.
Data Assets & Inventory
Establishes a clear view of the organization’s key data assets by identifying what data exists, who owns it, how accessible and reliable it is, and where high-potential or underused assets can support priority use cases.
Users & Personas
Defines who interacts with data across the organization today, who does not, and how the data strategy enables a broader set of users to work with data independently through clear personas, targeted enablement, and self-service access within defined guardrails.
Use case prioritization
We assess your candidate data and AI initiatives against business impact and technical feasibility on your current stack. The output is a ranked backlog with clear sequencing, effort estimates, and explicit rationale for what we're deprioritizing and why. Built to hand directly to your engineering leads.
GenAI opportunity mapping
We identify where large language models and generative AI create real operational value in your business and where they don't. Every use case is evaluated for data readiness, integration complexity, and what it takes to run in production. Nothing makes the list without a credible path from build to operate.
Decisions you can act on immediately
A structured list of data and AI initiatives ranked by value and feasibility, with effort estimates, sequencing logic, and dependencies mapped. Written for engineering leads, not executive summaries.
For each recommended initiative: data readiness, platform requirements, integration complexity, and the specific team capabilities needed. Honest about what your team can handle now and where you'll need external support.
A phased plan with milestones, dependencies, and decision gates. Includes where to expect bottlenecks, which phases can run in parallel, and where the handoff from strategy to delivery happens.
Every engagement includes structured working sessions with your data leads and stakeholders. The team is aligned on the plan before a single line of implementation work starts.
