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Procurement-safe by default. Audit-led by design.

One place to find the governance, methodology, security and disclosure surfaces that procurement, legal and IT teams ask for.

Six commitments

What we'll always do — and never do.

  • Audit-first

    Every engagement begins with a fixed-scope diagnostic. Findings + recommendation before any pack lands.

  • Procurement-safe by default

    Standard SOW with AI Schedule, IP terms, sub-processing, liability cap and disclosure language built in.

  • RED data hard-blocked

    Highly sensitive information (personal data, security-sensitive, regulated) cannot flow through AI calls.

  • Human review before issue

    Every AI-assisted output passes QA1, QA2 and (for client-facing artefacts) client approval before issue.

  • Audit-logged at every gate

    Each AI call writes an immutable row. Each approval, each block, each escalation — queryable, reviewable, exportable.

  • Methodology disclosed

    Every published number carries n, range, baseline date and methodology. No median-only claims, no blended productivity.

Documented surfaces

Six pages that answer the procurement questions.

If your security, legal or compliance team is reviewing BuiltAI, point them here. Every claim on the marketing site is anchored to one of these surfaces.

Governance principles

Five non-negotiables every BuiltAI engagement enforces — human oversight, source-led delivery, approval gates, R/A/G classification, professional boundaries.

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Measurement methodology

How we baseline, measure and report. Ranges not single numbers, per-pack metrics, owner-confirmed, methodology disclosed alongside every claim.

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Anatomy of an audit

Six concrete deliverables every Operational Intelligence Audit produces. Sample artefacts, classification pills, sign-off slots — click through to see the lot.

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AI disclosure

How BuiltAI uses AI internally — and what we explicitly don't do. The five canonical clauses that bolt onto every SOW by default.

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Data security

How BuiltAI handles client data. R/A/G classification at upload, RED hard-blocked from AI, audit-logged at every gate, sub-processor list disclosed.

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Case studies

Illustrative engagement patterns — sector-tagged, anonymised. Real customer numbers publish only with explicit sign-off, per the procurement-safe rule.

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Need this packaged for a procurement review?

We can produce a one-page summary signed by BuiltAI that references the surfaces above plus our standard sub-processor list, liability cap and AI Schedule. Ask via the contact form.

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