# Readiness & Diligence Source: https://customlabs.io/services/readiness-diligence/ Updated: 2026-09-18 Services # Readiness & Diligence A written, defensible read on whether the AI is really ready, and what the risks are. [Book a Ship Audit →](https://customlabs.io/diagnostic/ship-audit/) Problem Before you commit to an AI initiative, or invest in a company betting on one, you need to know whether the data and infrastructure are actually ready, and whether the process around them is. Otherwise you're buying a demo that will die in production. Optimism from an internal team or a vendor deck isn't evidence. We assess the stack in place and deliver a written, board-ready verdict: a clear go / no-go call. Every real risk is named and scored, with an owner against it. What we build - Data and infrastructure audits - A risk register with named owners - Readiness scoring across the stack - A pilot plan scoped to prove value fast - KPI and success-metric design - Technical due diligence for investors Deliverables Everything below transfers to you at handover. No retainer, no lock-in. - A written readiness or diligence report - A risk register with severity and mitigations - A scoped pilot plan - A KPI framework to judge success against - A signed, board-ready deliverable Ownership terms ## You own every line. Explicit handover terms, not fine print — this is what transfers to you when we're done. - All source code transfers to you at handover. - Infrastructure-as-code for the whole system transfers to you. - The [eval suite](https://customlabs.io/glossary/eval-suite/) and tests transfer to you. - Credentials and accounts we provision transfer to you. - Documentation and runbooks transfer to you. - No retainer required to keep it running. - No kill-switch, no vendor lock-in — operate and extend it without us. Outcomes - A defensible go / no-go decision backed by evidence, not optimism - The real risks surfaced and scored before they cost you the deal or the quarter - A scoped pilot plan to prove value fast, in weeks, not quarters - KPIs in place to judge success objectively after the decision Stack Data auditRisk registerPilot planKPI design Questions ## Questions, answered. The questions we get asked most, answered plainly: no hedging, no marketing copy. 01 What does the assessment cover? + Data quality and access, infrastructure and security posture, team and process readiness, and the specific risks tied to the AI use case under consideration. Each one gets a score, backed by evidence. 02 Can you do investor-side technical due diligence? + Yes. We assess a target company's AI claims, data practices, and technical debt on behalf of investors, and deliver a written report suitable for an investment committee. 03 How long does it take? + Most readiness assessments run two to four weeks depending on scope; diligence engagements are typically faster and scoped to the deal timeline. 04 Does our data leave our environment? + No. We assess in place wherever possible and work under your existing access controls and NDAs — the report leaves, your data doesn't. Related & next steps [$1.4M Undisclosed re-platform cost surfaced > “The demo was real. The production system behind it wasn't. Two weeks saved us from finding that out after close.” Partner, Growth Equity · A growth-equity firm](https://customlabs.io/case-studies/ai-diligence-flagged-replatform-cost/) Start with a diagnostic [AI Readiness / Ship Audit →](https://customlabs.io/diagnostic/ship-audit/)[AI Technical Diligence →](https://customlabs.io/diagnostic/technical-diligence/) Related services [Strategy & Architecture](https://customlabs.io/services/strategy-architecture/)[Custom Development](https://customlabs.io/services/custom-development/) Tools [AI Readiness Scorecard](https://customlabs.io/tools/ai-readiness/) Learn more [Our process](https://customlabs.io/process/)