AI Readiness Assessment

Overview

What we deliver

We assess your data, systems, governance, and team capability to give you a clear view of where AI will work and where it will not.

We help leadership teams cut through AI noise with a structured assessment of what is actually ready to support production use cases. Our team reviews your data sources, integration points, model and tooling options, governance posture, and the operating model behind it all. We interview business and technical stakeholders to understand goals, constraints, and existing pilots, then test those against real readiness criteria. The output is a written assessment that names which use cases are viable now, which need foundational work, and which should wait. We include a gap analysis, risk register, and a sequencing plan so you can invest with confidence. The goal is not to sell AI. It is to give you an honest read on where AI will create value, where it will stall, and what to fix before you commit budget or vendor contracts.

Fit Check

Built for teams like yours

Who it's for

CIOs and CTOs evaluating AI investments
COOs reviewing AI pilots
Heads of data and analytics
Compliance and risk leaders
Founders weighing AI product features

Pain points we solve

Unclear which AI use cases are realistic
Data quality concerns blocking progress
Governance gaps before scaling AI
Vendor pitches without an internal baseline
Stalled pilots with no path to production

What's included

Capabilities

Everything we cover in this engagement.

Use case discovery and scoring
Data source and quality review
Integration and architecture review
Governance and risk assessment
Skills and operating model review
Vendor and tooling landscape review
Gap analysis and remediation plan
Executive readout

How we work

Our process

A clear, predictable path from kickoff to outcomes.

01

Kickoff

Confirm goals, scope, and assessment criteria.

02

Interview

Meet business, data, and IT stakeholders.

03

Review

Inspect data, systems, policies, and pilots.

04

Score

Rate readiness across people, process, and tech.

05

Report

Deliver findings, gaps, and sequencing plan.

What you get

Deliverables & outcomes

What you get

Readiness scorecard across six dimensions
Use case shortlist with viability ratings
Data and integration gap analysis
Governance and risk register
Sequenced remediation plan
Executive briefing deck

Outcomes you can expect

Clear view of which AI bets are viable
Shared language across business and IT
Reduced risk on vendor commitments
Defensible plan for board and finance
Faster path from pilot to production

Timeline

4 to 6 weeks

Engagement

Monthly retainer, Project, Sprint

Tools we use

Notion, Miro, Excel, Snowflake, dbt

KPIs we track

Use case viability score, data quality index, integration coverage, governance maturity, time to first production model

Client stories

What clients say

"

We had been prototyping an AI quoting agent for nine months and could not get it past demo quality. They came in, scoped a real eval set, swapped our retrieval layer, and added guardrails for the edge cases that kept burning us. Went live in seven weeks. It now handles 41 percent of inbound quote requests without a human touching them.

Kyle A.

"

Our LCP was 4.8 seconds and Google was punishing us for it. They audited the build, dumped two plugins we did not need, moved hero images to a real CDN, and rewrote the critical CSS. LCP came down to 1.6 seconds within three weeks. Bounce rate on the pricing page dropped by a quarter without us touching the copy.

Sarah K.

Proof