Scout Audit
A one-week engagement that maps your AI-readiness — what's in your data substrate, what's missing, what AI capabilities you could deploy today, and what would need to be built first.
What you get
A structured report after a one-week engagement: what's actually in your data substrate, what's missing, which AI capabilities you could deploy today (with your current substrate), and which would need foundational work first. Honest, no vendor pitch attached, deliverable in a single document.
What makes it different
Most AI audits are sales decks dressed up as assessments. Scout Audit is the actual work of capability inference run on your stack: we connect (with permission, scoped), inventory, and produce the report. The deliverable is yours to use however you want — even if you never engage us further. The audit is its own product, not a funnel.
What it can do for you
Give leadership an honest picture of where AI could move the needle today vs where the substrate has to be built first. Surface the data, document, and tool inventory you didn't know you had. Identify the easy wins that don't require a platform engagement. Make the platform engagement scoping conversation grounded in reality, not vendor claims.
- 1-week engagement, fixed scope, fixed price
- Capability inference on your real substrate
- Inventory of data sources, knowledge bases, tools
- Ranked AI capability proposals (easy → hard)
- Foundation gaps that block specific capabilities
- Recommended sequence: what to build first, second, third
- Deliverable: structured report, yours to keep
- No vendor lock-in — the audit is a standalone deliverable
Who it's for
Leadership teams trying to scope AI investment with limited internal expertise. Engineering teams that know the technical answer but need an outside perspective to validate or challenge it. AI committees that need a fact-based starting point.
How we ship it
1 week. Day 1-2: scope, NDAs, access setup. Day 3-5: capability inference, inventory, analysis. Day 6-7: report drafting and review. Optional readout call at the end.
Questions people actually ask
Is this just a sales pitch dressed up as an assessment?
No — and we say that knowing most AI audits are exactly that. Scout Audit is fixed-scope, fixed-price, and the report is a standalone deliverable: yours to use however you want, even if you never talk to us again. It will tell you honestly which capabilities need foundational work first, not just what's easy to sell.
What access do you need to our systems?
Scoped, permissioned access agreed up front — NDAs and access setup happen on days 1 and 2, before any analysis starts. We inventory your data sources, knowledge bases, and tools; we don't copy your data out or install anything permanent.
How much of our team's time does the week take?
The engagement is 1 week total: days 1-2 for scope, NDAs, and access; days 3-5 for capability inference and inventory; days 6-7 for report drafting and review, with an optional readout call. On your side it mostly takes one person who can grant access and answer questions about where things live.
What do we do with the report afterward?
Whatever you want — it ranks the AI capabilities you could deploy today from easy to hard, names the foundation gaps, and recommends a build sequence. Some teams execute it internally, some take it to another vendor, some engage us. If you do build with us, packaged products and custom work run on the same stack, so the audit's findings carry straight into scoping.
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