AI Product Audit
A 1 to 2 week deep read of your product to identify where AI creates real leverage and what the architecture should look like.
Duration: 1 to 2 weeks. Pricing: $10K to $15K. We use your product the way your users do and map every workflow. We identify where agents, retrieval, generative UX, or automation create real leverage. We recommend which frameworks, patterns, and evaluation approaches to use. And we sequence everything by impact and effort so you know where to start.
The deliverable is a prioritized AI opportunity map plus architecture recommendations you can act on immediately.
Three things tend to come out of audits that clients didn't expect going in.
First, where AI doesn't help. Most teams come in assuming AI should be everywhere in the product. A good audit shows you where it creates step-change value and where it would add complexity without meaningful benefit. The recommendations you don't build save the most time.
Second, how much infrastructure is involved. Adding AI to a product is rarely as simple as calling an API. Retrieval systems, memory, evaluation, guardrails, and observability are all part of a production-grade implementation, and understanding the full scope early prevents expensive surprises later.
Third, a clearer product vision. The audit process often clarifies the client's thinking about their product well beyond the AI question. Looking at every workflow through the lens of "where does intelligence create leverage" tends to surface product insights that have nothing to do with AI.
For teams that aren't sure whether they need a full build engagement, the audit is the lightest way in. It gives you clarity about the opportunity and a working relationship with us, with minimal commitment. Many audits lead naturally into Agentic AI Development or Embedded Builder Residency engagements, but the audit stands on its own as a deliverable regardless.
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