Business Services
Why Most Small Businesses are losing money on AI right now.
The AI consulting market in 2026 looks a lot like the "Digital Transformation" market did in 2018.
Same playbook. New slide decks.
Bought AI Before Data was Ready
1.
The model was deployed against the messy spreadsheet exports the client had been emailing each other for years. Garbage in, expensive garbage out. The model wasn't wrong — the input was.
Bought a Platform When They Needed a Workflow
2.
The vendor sold a "GenAI platform." What the client needed was a six-step intake automation with one LLM call inside it. They got a license, a 9-month implementation, and a problem that still isn't solved.
What We Actually Build
AI Assistant For One Workflow
You're in this spot:
One specific task at your firm is eating senior staff time — client intake, drafting routine documents, answering the same internal questions over and over, sorting incoming work into the right buckets. You don't want a giant "AI platform" that does fifty things. You want one thing that works.
A focused AI assistant built to handle one specific task at your firm. It connects to your existing systems — your CRM, your case management, your email — so your team doesn't have to learn a new platform or copy-paste between tools. A human always reviews anything that would be expensive to get wrong. Built with your brand voice, your document templates, and your decision rules, so the output sounds like your firm — not like a generic chatbot.
Get Your Numbers in One Place
You're in this spot:
Your data lives in five different systems. Reporting takes a senior staffer half a day every Monday. You can't tell whether your numbers are right — let alone whether AI would help — because you can't see them in one place to start with.
We pull the information from your different systems — your sales tool, your accounting software, your project tracker, your billing platform — into one place where it can talk to itself. Then we build the report or dashboard your team will actually open every Monday morning. Not the prettiest dashboard. The one with the right numbers, opened by the people who need to read them. This is the boring infrastructure work that has to happen before any AI conversation makes sense.
Predictive Tools for One Decision
You're in this spot:
There's one decision your firm makes over and over — pricing, which leads to focus on, when a client is at risk of leaving, how much demand is coming next quarter. You've made it long enough to have real history to learn from. A smart tool, built on your own data, would help you make it faster and more accurately.
A custom prediction tool built on your firm's actual history — not a generic tool sold by a vendor. The output comes with a confidence score so your team knows when to trust it and when to use their judgment. Everything is auditable, which means you can always see why the tool said what it said. We don't ship black boxes. The investment-client case study on /our-work shows the same approach applied in production: 59% accuracy, holding for 18 months.
AI Readiness Assessment
You're in this spot:
Every vendor is pitching you AI. Your board or your partners want to know your "AI strategy." You don't want to spend six figures finding out an off-the-shelf tool would have done 80% of the job — but you also don't want to be the firm that ignored AI when it actually mattered.
A 60–90 minute structured conversation across People, Process, and Technology — followed by a written report covering three things. First: what AI capability is already sitting unused in the tools you already own. Second: what custom AI work would actually move your numbers, ranked by which one pays back fastest. Third: an honest "buy this", "build this", or "wait on this" call on each one. About a third end with "you don't need to spend more — turn on what you already have." That answer is free.
How We Apply the Three Lens Method
People, Process and Technology Applied to AI & Data
People
Built for the actual users — the partner reading the dashboard, the analyst tuning the model — not for an AI ops team you don't have.
Process
An AI model on a broken process just makes wrong decisions faster. About 90% of assessments conclude "fix the workflow first."
Technology
Models where they earn their keep. Skipped where they don't. Plain SQL and workflow tools first; ML only when the problem needs it.
The Anti-Consulting Differnce
Why This Looks Different from Other AI Pitches
1.
No "AI-powered" branding on rule-based work.
Half the AI products on the market are if-then logic dressed up in an LLM costume. The vendor's incentive is to call everything "AI-powered" because the word adds a premium. If a problem doesn't need a model, we don't add one. If the right answer is a spreadsheet macro, that's the recommendation. We don't charge extra because the SOW has the word "intelligence" in it.
3.
Auditable models only. No black boxes.
Every prediction we ship is traceable back to its inputs. Every model retrains on a documented schedule. Your team can always answer the question "why did the model say that?" — because if they can't, they can't defend the decision to a partner, a board, a client, or a regulator. The AI consulting market treats traceability as an optional add-on. We treat it as the floor.
2.
Configure what you own before we sell you anything.
About a third of our AI readiness assessments end with "you don't need a new build — turn on what you already have." That answer is free, and you walk away with a written report whether you hire us or not. No other AI consulting firm has a business model that lets them give that answer — because no other AI consulting firm makes money by telling you to spend less.
4.
No Data, No Model.
We won't take an engagement to "build AI" on a foundation of messy spreadsheet exports and disconnected systems. The honest answer in those cases is "fix the data first" — even when the data fix is the entire engagement and there's no AI build at the end. The vendor incentive is to skip this conversation; ours is to retain you next month, which means the first model we ship has to actually work.