I can help you find the right room now. Choose a fast path or type what you are trying to solve.
Flagship offer
Start with the truth of the system you already have.
The AI Systems Audit helps a business find what is real, risky, useful, duplicated, missing, or ready to prove. We map workflows, tools, data, people, review needs, runtime options, and the first AI lane worth building.
Audit area
Workflow and pain-point map
Locate slow, manual, risky, repeated, customer-facing, or high-cost work before choosing an AI solution.
Audit area
Tool, vendor, and subscription inventory
Find duplicate platforms, unmanaged spend, unused AI seats, provider exposure, and unclear ownership.
Audit area
Data and knowledge readiness review
Check documents, source quality, sensitivity, update rhythm, access, and whether RAG can be trusted.
Audit area
Human review and staff impact map
Name where judgment, empathy, accountability, approvals, training, and feedback loops must stay human.
Audit area
Local, cloud, and hybrid runtime direction
Decide where each workflow should run based on privacy, cost, latency, fallback, and portability.
Audit area
First proof shortlist and ninety-day path
Prioritize the first buildable proof and the staged path from audit into launch-ready capability.
Audit output
A practical plan, not a pile of AI buzzwords.
Best first AI opportunities
A plain-language summary of where AI can reduce friction, improve speed, or strengthen quality first.
Risk and readiness view
A red, yellow, and green readout of workflow, data, staff, provider, and operational maturity.
Recommended proof path
A first workflow with sandbox boundaries, review points, success criteria, and launch questions.
Blockers and owner map
Known dependencies, missing records, approvals, integrations, security concerns, and accountable owners.
Next-step options
Clear routes for proof, workflow build, local AI, governance, AI rescue, commerce, or AI IT partnership.
Start here
The audit turns pressure into a first move.
You do not need to know the model, stack, vendor, or architecture before we talk. Start with the workflow and the business pain.