BINTU.ai · AI Stack Audit
Your AI stack is probably costing more than you think.
Get a structured audit that shows where your spend is justified, where it's wasted, and what to do next.
Who it's for
Consultants
Use it as a sharp starting point for white-label AI advisory, client stack reviews, and faster discovery engagements.
Operators & founders
Use it to understand whether your current AI spend is justified, where deployment is weak, and what to clean up next.
Teams evaluating growth
Use it before adding another tool, expanding seats, or pushing AI more broadly across departments.
What it helps you answer
The point is not just to list your tools. It is to understand what your stack is actually doing.
Are we paying for tools that don't map to real workflows?
Example: “Microsoft Copilot is deployed across teams that do not appear to use it in repeatable, high-value workflows.”
Which tools are overlapping, underused, or over-deployed?
Example: “Jasper and Copilot overlap most heavily in marketing, where both support writing and ideation workflows.”
Should we consolidate, expand, or hold the line?
Example: “The better move is to tighten deployment and measurement before adding more specialist tools.”
Are some teams over-tooled while others are under-supported?
Example: “Marketing has the deepest AI coverage today, while HR is lightly equipped relative to documentation needs.”
What should we fix first if we want measurable value?
Example: “Start by right-sizing seats and defining workflow ownership before investing in additional automation.”
How it works
Four stages. One report that can actually defend itself.
Most AI reports jump straight from your form inputs to a summary. This one doesn't.
Frames the real question
Reads your tools, teams, workflows, and budget — and decides what the audit actually needs to prove.
Finds the right evidence
Pulls in benchmarks, vendor data, and context so the report goes beyond what you submitted.
Calculates what matters
Maps your stack into findings, cost variables, and decision logic that justify every recommendation.
Turns it into a usable artifact
Produces a clear, structured report you can use with clients, stakeholders, or a leadership team.
What you get
A compact, decision-ready report.
The output is designed to help you understand where your current stack stands, what the real problem is, and what to do next.
- Current stack assessment — tool by tool
- Waste and overlap analysis with spend breakdown
- Key findings with sourced evidence
- Recommended future-state stack
- Measurement and governance framework
- Prioritized implementation roadmap
- Source-backed citations and references
Example finding
“Your stack is not necessarily too large.”
The stronger issue is that deployment is broader than the workflows currently being measured — which makes spend harder to defend and value harder to prove.
Example recommendation
“Tighten deployment before adding more tools.”
The better move is to right-size seat allocation, define workflow ownership, and set a measurement baseline before introducing more specialist tooling.
Quick estimate
See how much your org might be wasting.
Enter your industry and org size for a rough directional estimate. Then run the full audit for the actual breakdown.
Industry
Org size (employees)
Pricing
One audit. One price. No subscription.
You run the audit, you get the PDF. That's it.
One-time · No subscription
- Current stack assessment — tool by tool
- Waste and overlap analysis with spend breakdown
- Key findings with sourced evidence
- Recommended future-state stack
- Measurement and governance framework
- Prioritized implementation roadmap
- Source-backed citations and references
~5 min intake · PDF delivered via secure link · Stripe checkout
FAQ
Questions people usually ask.
Ready?
See what your AI stack is actually doing.
Run the audit and get a clear view of your current stack, the real problem behind it, and the next move that makes sense.
One-time payment · PDF delivered · No subscription