Vendor and License Review

For: firms paying for market, reference, or alternative data.
The problem: spend grows, entitlements sprawl, and nobody can say what you are actually licensed for.
What you get: an inventory of your data contracts and entitlements, where you are overpaying or over-licensed, a vendor risk read on accuracy and provenance, and leverage for your next renewal.
How it works: fixed-scope assessment.

AI-Use Rights Review

For: firms using licensed data with AI, or planning to.
The problem: most data licenses never contemplated inference, RAG, derived data, or model training. The exposure is real and usually unmeasured.
What you get: a clause-by-clause read of what each license permits for AI use, a ranked list of exposures, and the terms to renegotiate.
How it works: fixed-scope review, by contract set.

Document Extraction, Proven

For: teams buried in contracts, statements, filings, or invoices.
The problem: AI can extract data from documents, but few can tell you how accurate it is.
What you get: structured data from your hardest documents, a measured accuracy rate against a ground-truth set, and a build-or-buy recommendation.
How it works: fixed scope, clear deliverable.

Data Integrity Assessment

For: firms whose customer, vendor, or reference records have drifted.
The problem: records that were right last year go quietly wrong.
What you get: your records reconciled against reliable sources, what has broken and why, and a prioritized fix.
How it works: fixed-scope assessment. The natural place to start.

Fractional Data Strategy

For: banks, credit unions, and asset managers without a full-time Chief Data Officer.
The problem: data decisions on sourcing, spend, governance, and AI get made piecemeal, without senior ownership.
What you get: a senior data strategist on call for sourcing decisions, vendor negotiations, governance, and AI readiness.
How it works: monthly retainer.

Not sure where to start? Email ben@firstcoastintelligence.ai and I’ll suggest the right first step.