DX Audit
A clear read before you build.
Step one on the path to a system you own.
The DX Audit, or AI Snapshot, gives leadership a clear view of where AI fits inside the business, without prior vendor bias.
We look at the work, data, systems, security requirements and operational constraints to find the highest-value opportunities and the practical path to deployment. It is a paid diagnostic, run ahead of any large build.
The baseline, measure by measure.
Infrastructure readiness
How well the technical foundation supports AI, automation, deployment, observability and recovery under load.
Data readiness
The state of data paths, access, quality, ownership and delivery, and what controlled intelligence would need from them.
Security posture
Identity, compliance, evidence, threat detection and boundaries, checked for strength at scale.
Operational maturity
Teams, workflows, accountability and recovery patterns, and how much change they can absorb.
Control enforcement
How consistently standards, policies, ownership and observability are enforced.
Investment risk
Whether capital is likely to create capability, or to scale unresolved drag.
When to run a DX Audit.
The audit is tied to strategy, risk and investment priorities. It shows where the organization can scale safely and where drag will appear.
- Ahead of a major AI investment.
- While an automation rollout is being planned.
- When on-premises AI is being scoped.
- Before a vendor is chosen.
- As transformation budgets are set.
- When pilots start heading for production.
- If execution has already slowed.
The engagement runs in DX Sidekick.
The client portal for DX Audit engagements: requests, files, updates and sign-offs, from kickoff to launch.