The direct answer
A readiness audit answers whether an AI or platform initiative is feasible, what it will cost in time and integration work, and what to build first. It is not a generic "AI maturity" scorecard.
What we map in the first week
- Workflow reality — who does what, in which tools, with which exceptions
- Data sources — freshness, ownership, PII/compliance boundaries
- Decision points — where AI can assist vs. where humans must remain accountable
- Existing automation — brittle scripts, Zapier chains, silent failure points
- Success criteria — measurable outcomes, not vague "efficiency"
Outputs you should expect
- Current-state architecture sketch (systems, not slide fluff)
- Gap list ranked by risk and leverage
- AI/automation opportunity matrix with honest effort estimates
- 90-day prioritized recommendations with optional sprint scopes
Our Systems & AI Readiness Audit offer starts from documented discovery — typical range $4,500–$12,000 depending on stakeholder depth and system complexity.
Red flags that pause the project
- No identifiable system of record
- Legal or compliance constraints undefined for the data in scope
- Expectation of full autonomy without logging or override paths
- No owner for post-launch operation
Regulated domains need extra care
Products like LedgerLynx show why informational positioning, export labeling, and disclaimer surfaces are architectural requirements — not copywriting afterthoughts.