CustomLabs
Services

Readiness & Diligence

A written, defensible read on whether the AI is really ready, and what the risks are.

Book a 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 suiteAn eval suite is a versioned set of test cases that measures whether outputs are good. 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.

Link to this answer: What does the assessment cover?
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.

Link to this answer: Can you do investor-side technical due diligence?
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.

Link to this answer: How long does it take?
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.

Link to this answer: Does our data leave our environment?

Source: https://customlabs.io/services/readiness-diligence/

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