The AI Production Readiness Audit — a fixed-fee, expert-led review for technical and operations leaders. Workflow by workflow: is it worth touching? Does it need AI at all? If so, how much is safe? What's required before it ships?
Established enough to have real volume and real stakes — but without a dedicated AI team to sort the hype from what ships. You've run experiments and need a credible decision, not another pitch.
Growing support, billing, claims, intake, compliance, or back-office work.
Internal AI experiments running, but no clear path into production.
Vendor pitches that sound plausible — but aren't production-safe.
Whoever owns the decision — a CTO, an ops leader, the founder, or the CEO — and needs a credible go/no-go to act on.
The judgment is the product. We work down the same sequence for every workflow, and we're willing to stop at any step.
Volume, cost, pain, and strategic weight. If the upside isn't real, the honest answer is to leave it alone.
Many are a process fix or plain automation away from solved. AI is the answer only when nothing simpler is.
We place each workflow on a spectrum — from plain automation, to automation with an LLM assisting, to a bounded AI agent — and recommend the least autonomy that gets the job done reliably.
Guardrails, evals, human-in-the-loop, fallback paths, logging, and the failure modes that must be handled first. The boundary between "safe to ship" and "not yet" gets written down.
More AI was never the goal —We find where AI gives you one, and tell you where it won't
a real edge is.
Concrete deliverables, not a slideware verdict. Everything is written down, defensible, and built to hand to your team.
Most "AI readiness" work assumes adoption and sells more AI. We start before that assumption.
Optimize one workflow in isolation and you often just move the bottleneck somewhere else. The audit looks across your whole operation first, then picks where to start — so the first thing you build is the one that actually moves the business, not just the loudest.
The willingness to say "no AI here" is the whole trust signal. A recommendation you can't disagree with isn't worth much.
It decides what's worth doing — even when the answer is "don't build it" — and stops there. We do build (that's the next step, if you want it), but the recommendation comes first and stands on its own, so it's never bent toward winning the work.
Backed by a track record of shipping and operating real systems — not a generic assessment scorecard with the logo swapped.
50% of the audit fee (capped at $5,000) is credited toward a pilot signed within 30 days. Larger, regulated, or multi-business-unit engagements are quoted.
Charles Shen, PhDFounder · Agenteer The audit is led by Charles Shen, PhD — whose work spans internet voice standards, a portfolio of patents, and enterprise AI deployed at scale. The credibility behind the recommendation is the willingness, and the track record, to know what actually survives production.
Previously at Intuit · Columbia · ConsenSys · AT&T
More about AgenteerThe audit ends with one workflow cleared for production — and stops there, on purpose. If you decide to go further, that's AI transformation: we become your build-and-run partner, shipping one workflow at a time but planned across the whole, so each piece compounds instead of colliding.
And only after the audit has independently said it's worth doing — never before. That separation is what keeps the recommendation honest.
A 20-minute triage call to find where it's worth building across your operation — and if it isn't the right move yet, we'll tell you.
