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Four ways we get your data ready for AI.

Engage us for a single service or the full path. Every engagement starts from your AI use cases, not from a technology.

01

Data Readiness Assessment

Know exactly where you stand, and what stands in your way.

What we do
  • Interview business, data, and technology stakeholders.
  • Review priority data sources, pipelines, metric definitions, and documentation.
  • Score readiness across quality, access and architecture, governance and security, skills and operating model, and use-case alignment.
You walk away with
  • A scored readiness profile.
  • A prioritized list of gaps, ranked by business impact.
  • A near-term action plan your team can start on.
02

Use-Case Data Mapping

Connect every AI idea to the data it depends on.

What we do
  • Inventory and frame candidate AI use cases with business owners.
  • Trace each one to its source data: location, owner, quality, and sensitivity.
  • Estimate value, feasibility, and data effort for each.
You walk away with
  • A ranked use-case portfolio.
  • Data dependency maps for each priority use case.
  • A clear view of quick wins versus foundation-heavy bets.
03

Governance & Trust

Guardrails that let teams move faster, not slower.

What we do
  • Define ownership and stewardship for AI-critical data.
  • Set quality, lineage, and documentation standards proportional to risk.
  • Design privacy, security, and responsible-use review paths.
  • Align controls with the frameworks regulators and auditors expect, such as NIST AI RMF, model risk management, and CCPA/GDPR privacy requirements.
You walk away with
  • A governance operating model with clear roles.
  • Policies and checklists teams can apply on their own.
  • A review process that surfaces risk early, not in the final mile.
04

Enablement & Adoption

Build the capability to keep going without us.

What we do
  • Work alongside your team to close the highest-priority data gaps.
  • Shape the operating model: roles, decision rights, and intake for new AI use cases.
  • Stand up stewardship networks, data councils, and literacy programs, and coach the people who run them.
You walk away with
  • A sequenced readiness roadmap.
  • Trained data owners and internal champions.
  • A handover plan and an ongoing review cadence.

Not sure where to start? Start with the assessment.

Book a readiness conversation