Data Readiness for AI

Turn scattered records into an AI‑ready
foundation.

A fixed-scope engagement that finds, cleans, and structures your organization's data, so the AI tools you're adopting have something trustworthy to work from.

Why AI projects stall

Most AI initiatives don't fail because of the model. They fail because the data behind it is duplicated, inconsistent, or scattered across systems nobody fully trusts.

Teams buy the tooling first and discover the data problem second, usually mid-rollout, when it's most expensive to fix. We flip that order: get the data right before you spend another dollar on tooling.

Duplicate & conflicting records

The same customer, product, or asset exists three different ways across three different systems.

Inconsistent schemas

Fields mean different things in different tools, so nothing lines up cleanly when you try to connect them.

Unstructured, untagged content

Years of documents, emails, and tickets sitting in folders, never chunked, tagged, or made retrievable.

How it works

A four-stage engagement, scoped to the data domain you choose to start with.

Audit & Diagnose

Full inventory of your data sources, a quality score for each, and a written gap report you can act on immediately.

Clean & Normalize

Deduplication, schema standardization, and resolution of conflicting records across every system in scope.

Structure for AI

Chunking, tagging, and embedding unstructured content into the data layer your AI stack actually runs on.

Validate & Handoff

A QA pass, documentation of everything that changed, and a working session with your team so it sticks.

Built for data-heavy operators

Especially useful where records live across many disconnected systems.

Insurance & MGAs

Self-storage & facility ops

Fintech & payments

Multi-location operators

Insurance & MGAs

Engagement options

Start with a scoped audit, or move straight into cleanup.

Readiness Audit

$2,500

flat · 1–2 weeks

A scoped diagnostic across your data sources, with a prioritized remediation roadmap.

Most common

Cleanup Sprint

From $8,500

per domain · 3–4 weeks

Hands-on cleanup and structuring for one data domain, customer, product, or document data.

Ongoing Partner

$3,000/mo

retainer · continuous

Standing coverage as new sources, tools, and data owners get added to your organization.

Get started

Book a free 20-minute data
readiness call.

We’ll tell you plainly whether your data is AI-ready, and what it would take if it isn’t.

Book a call

Home