Findings backed by evidence
Every point is tied to something we actually observed — real replies, real timestamps, a document, or what your team told us. We don’t state a conclusion we can’t back up.
AI Workflow Review
Find out what your AI tool could get wrong — before a customer does.
We look at one AI-powered workflow — an assistant, an agent, a vendor feature — and tell you in plain language how it actually behaves: where it's reliable, where it quietly depends on someone catching mistakes, and what happens when it gets something wrong. You get specific fixes, in priority order, not a risk score.
Most teams start with a Workflow Snapshot — a fixed-price, $750 first look at one workflow — and only step up to a Full Snapshot if what we find warrants it. Start with one workflow ($750); go full-stack when you're ready (from $3,500).
See it first
Read a full, redacted example review
A real-shaped sample report for a made-up company — the findings, the evidence, and the plain-language fixes you'd get.
When to get one
Good moments to take a closer look
A review is most useful when the AI tool already matters to the business, the safety net is informal, or someone important is about to ask hard questions.
You’re about to roll the tool out to a second team, more customers, or a higher-stakes decision.
You’re about to let an AI agent take actions on its own — access data, send things, or trigger work downstream.
Something already went wrong — a near miss, a customer complaint, an incident nobody clearly owned.
A big customer, your board, or a security review is about to ask how the AI is governed.
There’s a human “review” step, but you suspect the reviewer doesn’t really have time to catch problems.
A vendor’s AI feature is already running in your operations and nobody wrote down what happens when it fails.
What you get
A report you can actually act on
Plain language, backed by evidence. We tell you what we saw, what it means, what we couldn’t see, and exactly what to do — in priority order.
How it really behaves
A clear account of what the workflow does on a normal day, what it does when something is unusual, and where the real behavior differs from what you assumed.
What we couldn’t see
We name the open questions out loud. Where we couldn’t get evidence, we say so — so you can tell the difference between “risk we measured” and “thing we couldn’t check.”
When to escalate
Plain triggers for when an issue should jump to you, security, legal, or the vendor — written as things a team member would actually notice, not risk scores.
A clear, fixed scope
We review one specific workflow, not your whole company. What’s in and out is agreed in writing before we start, so there are no surprises.
A prioritized fix list
A short list of what to change, ordered by how soon it matters and sized to what your team can realistically handle — not a wish list.
A two-minute summary
A short summary a busy owner can read first: what’s known, what’s still open, and what to change before you grow the workflow.
How it works
Four steps, a clear turnaround
We agree what we’re looking at before we start, then stay close to the actual workflow and the people who run it.
1. Agree the scope
We pin down exactly which workflow we’re looking at, who’s involved, and what you need the answer for — in writing, before any work starts.
2. Look at the real thing
We go through how the workflow actually runs: the steps, the tools, the vendor, the handoffs, the review points, and what happens when something is off.
3. Find the gaps
We pinpoint where it’s unreliable, who owns it when it breaks, which checks aren’t really working, and when it should set off an alarm.
4. Hand it back
You get the findings, a plain-language write-up, a prioritized fix list, and — where a template fits — a pointer to the pack that closes the gap.
Typical turnaround is 10-15 business days after scope confirmation and evidence access. Larger multi-workflow reviews are scoped separately.
Pricing
Start small. Go deeper only if it’s worth it.
Three options: a low-cost first look, a full review, and a custom engagement for bigger rollouts. Most teams start at the top.
Most start here
$750
Fixed price · fixed scope
Workflow Snapshot
A focused first look at one AI workflow: a working session, a review of how it actually runs, and a short written memo with the two or three things most worth fixing first.
Start a $750 Workflow SnapshotFrom $3,500
7-day brief + readout
Full Snapshot
The full 3–5 page founder-ready brief for a live workflow with vendor dependencies, multiple handoffs, or a big customer asking questions. You get evidence-backed findings, a clear write-up of how it behaves, the open questions, when-to-escalate triggers, a prioritized fix plan, and a readout call. $3,500 for organizations under 50 people; $5,000 for 50–200; custom above that.
Request a Full SnapshotFrom $7,500
Multi-workflow
Expansion Review
For teams expanding AI across several workflows, giving an agent more access, or preparing material for leadership before a bigger rollout. Scoped and priced after a first conversation.
Discuss an Expansion ReviewStart with one workflow ($750); go full-stack when you're ready (from $3,500). Workflow Snapshot pricing is fixed; Full Snapshot is fixed by organization size; Expansion pricing is finalized after scope is agreed in writing. A Workflow Snapshot can be credited toward a Full Snapshot booked within 60 days.
Real examples
The kinds of situations we look at
Reviews are most useful when a workflow is live, a tool is going into production, or the paperwork hasn’t kept up with how work actually happens.
An AI assistant summarizes customer, financial, or operational records before someone makes a call. We map where its output gets checked, where it’s trusted blindly, and what happens when it’s wrong.
A vendor’s AI feature has quietly become part of a workflow, but who owns it, how it fails, and what data it touches are all “we think so.” We write down what you’ve actually signed up for.
There’s a human approval step, but you’re not sure it’s real. We find out which checks are genuinely catching problems and which are just absorbing blame.
Leadership needs solid answers before expanding AI usage, or before a board, regulator, or big customer asks how it’s handled.
You have a policy or checklist on file — but nobody’s sure it matches how the work is really being done.
Be clear up front
What this is — and what it isn’t
So you know exactly what you’re buying before you start.
What it is
A focused, evidence-backed look at one specific AI workflow. You get findings, a plain-language write-up, the open questions, when-to-escalate triggers, and a prioritized fix list.
What it is not
It’s not a compliance certificate, a SOC 2 or ISO audit, or a company-wide “AI maturity” score. There’s no pass/fail badge — just a clear picture and what to do.
We name what we couldn’t check
Every review says out loud where the evidence ran out. A risk you can’t see is more dangerous than one we’ve named for you.
Escalation triggers are concrete
We write them as things a team member would actually see or hear — “a customer says the AI promised them a refund” — not a number on a scale.
Ready to take a closer look?
Get a clear read on one AI workflow.
We agree the scope before we start. You get findings, plain-language explanations, and clear triggers for when to escalate — not a compliance report.