Assess · Assessment
AI Production Readiness Audit
A technical check of your AI system across all seven layers. You get a risk register and a hardening roadmap, ranked by what pays off first.
Mode Assessment
Covers All seven layers
You end with Risk register + roadmap
In
Every request
01 Models
02 Prompts
03 Guardrails
04 Budgets
05 Tools
06 Traces
07 Evals
What the roadmap switches onFilled squares = layers covered
What we check
What we look for → What we recommend 01 Model control Hard-coded models and scattered keys A routing and failover plan
02 Prompt operations Prompts nobody owns or tests A prompt versioning and review plan
03 Guardrails Unchecked inputs and outputs Guardrails for your key flows
04 Budget governance Spend with no limits Budget limits by model, tenant and tool
05 Tool governance Tools with broad access An auth and permissions plan for every tool
06 Observability Requests you can’t trace Tracing and alerting coverage
07 Evals Changes shipped without evals An eval and release-gate plan
When it fits
You need to know where you stand before you spend on fixes. It’s the right first step before a launch, after an incident, or when AI spend is climbing and nobody can say why.
Teams about to put AI in front of customers
Systems with rising spend and no clear cause
Leaders who need a baseline before committing budget
What you walk away with
01 Architecture review and gap map
02 Seven-layer production scorecard
03 Risk register with owners and priorities
04 Hardening plan with 30, 60 and 90-day actions
05 Guardrail, tracing and eval recommendations
06 Release checklist and operating runbooks