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The AI Readiness Audit

Two weeks. A fixed price. A clear answer to where AI actually belongs in your product and your business.

01 / The problem it solves

Everyone knows AI
should be doing more.

Few teams know where to start that isn't hype. The pressure is real, the demos are convincing, and the wrong first move is expensive. Most companies either freeze, or they ship an AI feature nobody asked for because it was the easiest one to build.

The Audit replaces guessing with a map. We look hard at your product, your codebase, and the way your people actually work, then we tell you the truth: what's worth doing, what isn't, and what order to do it in. No engagement to follow is required. The map is yours either way.

02 / What we examine

A fixed
checklist.

Every Audit covers the same eight areas. No scope creep, no moving target.

  1. 01

    Codebase & architecture

    What's ready to build on, what's fragile, what would need shoring up first.

  2. 02

    Workflows & repetition

    Where your people do the same thing twice, and which of it a machine should carry.

  3. 03

    Data reality

    What data you have, where it lives, and whether it's actually usable for AI.

  4. 04

    Customer-facing surfaces

    Where AI could genuinely help the people who use your product, and where it would hurt.

  5. 05

    Team capacity

    Whether your team can own what gets built, or what they'd need to.

  6. 06

    Tooling & infrastructure

    What you already pay for that you're not using, and what's missing.

  7. 07

    Cost & competitive picture

    What the work would cost to run, and where rivals are already moving.

  8. 08

    Security, privacy & compliance

    The exposure that comes with putting AI near your data and your customers.

03 / What you walk away with

A document,
not a deck.

  1. Deliverable

    A written assessment

    Plain language, no jargon. What we found, in a form a non-engineer can act on.

  2. Deliverable

    A prioritized roadmap

    Every recommendation sorted: do first, do later, don't do. With the reasoning.

  3. Deliverable

    Effort & cost estimates

    What each recommended move would take to build, and roughly what it would cost.

  4. Deliverable

    A readout call

    Sixty minutes to walk the whole thing through and answer every question.

04 / How it runs

Two weeks,
start to finish.

  1. Day 01

    Kickoff

    One call. We learn the business, the goals, and what's already been tried.

  2. Days 02–05

    Discovery

    We go through the codebase, the workflows, the data, and the tooling.

  3. Days 06–08

    Analysis

    We weigh every option against effort, cost, risk, and real payoff.

  4. Days 09–10

    Roadmap

    We write the assessment and the prioritized plan, in plain language.

  5. Readout

    Handover

    We walk you through it on a call. The document is yours to keep.

05 / What it costs

One fixed fee,
agreed up front.

from $5,000 to $12,000

Scaled to the size of the company and the codebase, and locked in before we start. No hourly billing. No change orders. No surprises.

If you go on to an Agent Integration Sprint with us, the full Audit fee is credited toward it.

06 / Who it's for

An honest read,
for honest questions.

A good fit

  • Founders and technical leaders who know AI belongs somewhere but not where.
  • Teams with budget and urgency, but no one in-house who has shipped this.
  • Companies that want the truth before they spend, not after.

Not a fit

  • Anyone looking for a rubber stamp on a decision already made.
  • Teams that want a buzzword report to wave at the board.
  • Projects with no one to own what the roadmap recommends.

07 / Start the conversation

Talk to a
human first.

Thirty minutes on a call, no deck. We'll tell you straight whether the Audit is the right move.

Email hello@grey88.com

Studios Central Jersey & Mid Tennessee

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