Organizations racing to deploy AI without a data foundation are setting themselves up for expensive failure. We design AI and data strategies grounded in your actual capabilities, prioritizing the use cases with real near-term value and a credible path to scale.
Every executive has an AI strategy. Most are aspirational documents that assume data infrastructure, governance, and talent that do not exist. The gap between "we want to be AI-driven" and "we have the data foundation to do that" is where most AI investments stall, expensively and visibly.
We cut through the noise, vendor demos, analyst hype, internal enthusiasm, to identify the AI applications that will actually deliver value in your specific environment. Selection criteria include data availability, change capacity, regulatory constraints, and time-to-value.
Before recommending any AI investment, we evaluate the actual state of your data: quality, accessibility, ownership, and governance maturity. This is the conversation most vendors skip and most consultants rush past. We do not.
AI risk in regulated industries, healthcare, financial services, public sector, is a governance and compliance problem as much as a technical one. We design AI strategies that include the risk framework, oversight model, and audit trail from the beginning.
A prioritized portfolio of AI use cases, sequenced by value, data readiness, and organizational change capacity. Each use case comes with a clear business case, data requirements, build/buy/partner recommendation, and risk assessment.
Ownership model, data stewardship structure, quality standards, and the policy architecture that makes data trustworthy across the organization. Designed to be operationally realistic, not a governance ideal that nobody enforces.
Technology-agnostic data architecture principles that guide platform selection, integration decisions, and infrastructure investment. Includes evaluation of current-state architecture against the demands of the AI use cases you have prioritized.
Platform selection decisions are among the highest-stakes technology choices an organization makes. We bring an independent, vendor-neutral perspective grounded in your specific business requirements, data reality, and organizational capability.
Business and technical requirements derived from your prioritized use cases, not the vendor capability checklist.
Structured vendor assessment against your requirements. We have evaluated most major platforms across multiple client contexts and know where demo-to-deployment gaps appear.
Final recommendation with rationale, implementation sequencing, and commercial negotiation guidance. We work for you, not the vendor.