AI readiness
Assess practical readiness across operating model, workflows, data, architecture, governance, and talent. Outputs include an opportunity thesis, dependency map, evidence gaps, and a sequenced activation plan.
AI product and portfolio strategy
Define where AI changes the product or operation, what should remain deterministic, and how to build a portfolio around learning rather than executive theater.
Migration and modernization
Reconstruct the estate, expose coupling, design target states, and create cutover routes with explicit decision gates, rollback logic, and organizational ownership.
Technology evaluation
Build evaluation harnesses around your constraints. Compare models, platforms, and approaches using representative workloads, total cost, reliability, security, and operating fit.
Governance that enables delivery
Turn principles into decision rights, review gates, evidence standards, and operational controls that teams can follow without stopping the work.
Implementation and recovery
Architecture, proofs, delivery leadership, technical program recovery, and capability transfer. We can stay close enough to make the recommendation real.