Most teams can see that AI belongs somewhere in the business. What they usually lack is a grounded view of which workflows are worth touching first, which should stay manual, and what a real implementation will cost. The AI Opportunity Audit is a one-week paid engagement that maps the work, identifies the highest-return automation opportunities, and ends with a written roadmap you can use immediately — with us, with your internal team, or with anyone else.
In an hour or two, no one serious can understand your workflows, data, constraints, approval paths, and system handoffs well enough to tell you what to build. The result is usually generic advice, a recycled pitch, or a scope written too early.
A paid audit changes the posture on both sides. You bring real access, real context, and real intent. We block out a full week to inspect how the work actually moves through your business, where the friction is, and where AI has a real case instead of a demo-worthy one.
It also filters for companies that are ready to move. If you're only curious about AI in the abstract, this is too much process and too much money. If you expect to make a real implementation decision in the next six months, it's the cheaper first step.
Hiring the wrong AI consultant for a larger build is expensive. So is funding the wrong internal tool, over-buying software, or chasing an AI idea that dies the moment it touches your actual operation. A paid, scoped audit to avoid a much larger failed build is a disciplined buy. The engagement is priced based on scope after the kickoff call — contact us to discuss.
Not a slide deck. Not vague recommendations. A working document you can hand to a technical team, bring to a board meeting, or use to drive an internal project.
A current-state map of the workflows, tools, documents, approvals, and handoffs reviewed during the week.
A prioritized list of 3 to 5 specific AI automation opportunities, ranked by ROI, implementation effort, and operational fit.
Hours-per-week and dollars-per-year cost estimates for each current workflow, based on who's doing it and how often.
Technical architecture sketches for the top 2 opportunities, including likely data flow, review requirements, and integration points.
Effort and cost ranges for each recommended build, with low and high estimates instead of a single vague number.
A written roadmap showing what to do first, what to defer, and what not to build at all.
A 1-hour walkthrough call to review the report, answer questions, and pressure-test next steps with your team.
Optional follow-up: either as a scoped implementation proposal or a handoff package your internal team can use.
A focused call with the decision-maker and the people closest to the work. The goal is to define the business problem, the implementation window, and the workflows worth inspecting — not to impress you with a canned deck.
We review the tools, docs, approvals, recurring tasks, and knowledge bottlenecks inside the selected part of your operation. This is where weak AI ideas usually fall apart and the practical ones start to surface.
The findings get condensed into a shortlist of the strongest automation opportunities. Each one is weighed against data availability, integration complexity, review needs, risk, and expected payoff — not just technical interest.
We turn the shortlist into a written plan with priorities, architecture direction, implementation ranges, dependencies, and recommended sequence. You get clarity on what to do now and what can wait.
We walk your team through the report live, answer questions, and outline the next step if you want to keep going. The roadmap is yours whether or not there is a second engagement.
Most firms have three to five of these running at significant cost. The audit finds yours and ranks them.
You're a founder, operator, or functional leader who already knows AI belongs somewhere in the business but doesn't want to guess where to start. You run a company with real workflow complexity — internal docs, approvals, quoting, scheduling, intake, procurement, customer communication, knowledge retrieval, or repetitive back-office work that burns skilled people's time. You expect to make an implementation decision in the next six months.
You're just curious about AI in the abstract. This is for operators who are ready to move. If the current problem is "we have to do something with AI and don't know what," this is the cheapest and fastest way to get to "we're building X first, Y second, Z never." If the current problem is "we just want to see what's out there," a free webinar will serve better.
No subcontracted labor, no offshore handoffs, no account layer standing between you and the people building the system. The team auditing your business is the same team that ships the systems.
We've shipped production AI platforms, knowledge systems, custom SaaS, and secure client portals — all running under real operational load. Not demos. Not slide decks. Systems that work when real users touch them.
About 60% of audit clients book a build. The rest use the roadmap to drive internal projects, evaluate other vendors, or fix the highest-priority workflow in-house. Either outcome is a win.
What we've shipped
One week. Written roadmap. Yours to keep either way.