Scout Audit

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.