BINTU.aiBINTU.ai
BINTU.ai

BINTU.ai · AI Stack Audit · For consultants & fractional CTOs

My AI audit methodology.
Your client's name on it.

I've spent five years driving AI adoption inside global enterprises — including a 13,000-employee Copilot rollout at BASF. I built a system that runs the same diagnostic I use with clients. You fill out a five-minute intake about your client. You get a white-label report back in minutes.

What this actually is

Not a platform. Not a demo request. Not a subscription.
6 questions about your client → one client-ready report.
In the time it takes to grab a coffee.

~5 min intakeFully white-labelZero BINTU branding in output
13,000-employee Microsoft Copilot rolloutAI Stack Audit · White-label · Your brandKeynote Speaker · AI Summit New York5-minute intake → client-ready reportSchulich Top 30 Under 30 · AI InnovationBuilt from 5 years of enterprise AI adoptionFollow-on engagement hooks in every reportNext 36 Accelerator · Top 36 of 1,000+PDF + editable export · No demo, no call13,000-employee Microsoft Copilot rolloutAI Stack Audit · White-label · Your brandKeynote Speaker · AI Summit New York5-minute intake → client-ready reportSchulich Top 30 Under 30 · AI InnovationBuilt from 5 years of enterprise AI adoptionFollow-on engagement hooks in every reportNext 36 Accelerator · Top 36 of 1,000+PDF + editable export · No demo, no call

For independent consultants · Fractional CTOs · Boutique agencies

Your clients are asking about AI spend.
This is how you answer — in an afternoon, not two weeks.

40+ hours of non-billable scoping work before you can write a first diagnostic

Competitors who have already productized AI audits winning the follow-on engagement

A defensible, client-ready AI diagnostic under your firm's name — in minutes

How it works

Three steps. One artifact.

01

Fill out the intake

Six questions about your client — industry, team size, AI tools, workflows, and spend. Takes five minutes. Same questions I ask in a first consulting session. They feed the methodology, not a sales funnel.

02

My system runs the analysis

The same four-stage diagnostic I use in enterprise engagements: frame the question, pull evidence, calculate the numbers, write the report. Built on five years of applied AI adoption methodology.

03

You get a client-ready report

White-labeled under your firm name. PDF plus editable version. Your client sees your name on the cover — not mine. Ready to send or present. Includes follow-on engagement hooks sized for your next pitch.

What's in the report

A diagnostic you can actually put in front of a client.

Not a template filled with generic advice. Every output is built from your client's specific stack, team structure, and spend data.

  • Current stack assessment — tool-by-tool context and deployment logic
  • Waste, overlap, and coverage gaps with sourced benchmarks
  • Recommended future-state stack with decision framing
  • Prioritized implementation roadmap with measurement guidance
  • 3–5 follow-on engagement hooks sized for your next pitch
  • Cover: Prepared for [Client] by [Your Firm]

The diagnosis

The real problem is not tool count. It is broad deployment without clear workflow ownership or measurement — which makes spend hard to defend and value hard to prove.

The reasoning

Hold on adding specialist tooling until seats, workflows, and baseline metrics are tightened. Consolidation is not the first move. Clarity is.

The next engagement

Run a 30-day seat-rightsizing and workflow ownership sprint before the client expands AI tooling further.

Who built this

I built it because this work follows the same patterns every time.

I'm Bintu Alkassoum — AI Adoption Manager, keynote speaker, and founder. Five years inside complex global enterprises figuring out how to make AI actually work: a 13,000-employee Microsoft Copilot rollout at BASF, AI prototypes that cut manual search time by 40%, and strategy delivered to audiences of 100+ executives. Then I taught myself to build software and shipped this myself.

My competitors have consulting experience and learned AI. I have AI experience — five years, applied, at enterprise scale — and I'm helping consultants use it. That difference is in the product.

Most of the first-pass diagnostic work follows the same structure. So I systematized it — not to replace the consulting, but to remove the scaffolding so you can spend your time on the parts that actually require judgment.

BASF · 13,000-employee AI rollout
Keynote Speaker · AI Summit New York
Schulich Top 30 Under 30 · AI Innovation
Next 36 Accelerator · Top 36 of 1,000+

Pricing

Pay for the report.
Keep the client relationship.

A traditional AI audit from a firm costs $3K–$30K because you're paying for human hours. The methodology work is already done. You're paying for the output.

Tier

Single audit

Price

$199

Best for

Try it on one client

Tier

5-audit pack

Save $496

Price

$499

Best for

A quarter of client work

Tier

Team plan

Price

Best for

Boutique agencies & consulting firms running audits at volume

All tiers · Full white-label · PDF + editable · Stripe checkout

FAQ

Questions before the first audit.

Your competitors are figuring this out.
Some already have.

Five-minute intake. Client-ready report. Your firm's name on the cover.

White-label · PDF + editable · No demo, no sales call