95% of small business AI pilots fail to move the P&L. It’s because adoption was never engineered. Partnerial is a consultancy built around the science of making AI stick: a 30-day readiness assessment, a 90-day pilot with skin in the game, and a coaching retainer that keeps usage compounding instead of fading.
Built for owner-operator small businesses, 10–50 employees. Common fits: accounting and insurance firms, engineering and other consulting practices, light manufacturers, 3PLs, and similar. Indianapolis-based, US Midwest & Southeast focus.
of AI integrations remain unused, with no redesigned workflow, rigor or change-management rolled out for support
GITA.org SMB Technology and Buying Trends, 2025
of GenAI pilots fail to move the P&L
MIT NANDA / Fortune, 2025
of small business owners say their #1 AI blocker is not knowing which use-cases are real vs. hype.
Service Direct Small Business AI Report, 2025
The technology isn’t the bottleneck. Adoption is. And adoption is a designable, measurable, repeatable engineering problem.
Most consultancies sell strategy decks, hours, or software. We sell adoption. Each engagement is a fixed scope, a fixed price, and a measurable outcome — so you know what you’re buying before you sign.
A fixed-fee assessment that gives you a defensible, prioritized AI plan in 30 days. Workflow shadowing, a COM-B diagnosis of where adoption will break, top-five AI opportunities ranked by ROI × feasibility, and a vendor shortlist. Built to be read by your operations team. (not a 60-page deck nobody opens)
A 90-day pilot built on Design of Experiments rigor and Implementation Science. Baseline measurement, an internal champion, COM-B → ADKAR → Kotter sequencing, and a day-60 adoption review where we earn (or don’t earn) the bonus. We’re paid more if usage hits 70% by day 60. Skin in the game
A monthly retainer that keeps adoption compounding after the pilot ends. Adoption-rate tracking, quarterly nudge experiments, monthly coaching calls with your champion, and vendor-governance updates.
Not every problem fits a productized box and we’re not going to pretend otherwise. If you need a focus group facilitated, a workflow analyzed, a specific AI question answered with rigor, or a structured problem-solving session run for your team, we’re open to the conversation.
Founded by a 20-year mechanical engineer. Initial rollouts will have the founder in the room with skin in the game.
We don’t take kickbacks from AI tool vendors. We pick what fits your workflow, not what pays us.
On the 90-day Pilot, we don’t get our full fee unless adoption sticks. Most consultancies won’t do that.
We work with 10–50 employee small businesses — accounting firms, insurance agencies, engineering, manufacturers, 3PLs, primes and similar.
Every Partnerial engagement runs on a six-stage playbook drawn from twelve established frameworks: COM-B for behavioral diagnosis, Diffusion of Innovations for champion selection, Nudge for default-path design, ADKAR for sequencing change, Kotter for short wins, and Implementation Science to measure whether any of it actually worked. We don’t invent the science. We apply it to AI rollouts in small businesses, where almost no one rigorous is doing the work.
We shadow the workflow. Interview 4–6 people. Map the current process. Identify the gaps. The COM-B model tells us exactly where adoption will break — Capability, Opportunity, or Motivation. Most failed AI rollouts throw training at a Motivation problem or build a fancy interface for a Capability problem. We diagnose the right one before designing anything.
We define the pilot scope, set the success metric, establish the baseline, and identify your internal champion. Design of Experiments discipline says you can’t claim a result without a baseline. Implementation Science says interventions must be defined before they’re implemented — or you’ll never know what worked. Rogers’ Diffusion of Innovations tells us exactly who to pick as the champion.
We re-tool the workflow so the AI option is the path of least resistance. Remove copy-paste friction. Update SOPs. Place the tool inside the system your team already uses. Thaler and Sunstein’s Nudge established that defaults shape behavior more reliably than mandates. If using the AI tool requires a separate tab and pasted context — adoption will collapse.
Cohort training. Weekly check-ins. Adoption metrics posted where the team can see them. ADKAR’s Knowledge and Ability stages define what training actually has to accomplish — not just exposure but practice under realistic conditions. Visible cohort metrics borrow from Cialdini’s social proof, one of the strongest drivers of behavior change.
Manager reinforcement scripts. Small-wins celebrations. Make the old way harder to access. Day-60 adoption review. This is the stage 95% of competitors skip — and exactly where most pilots collapse. ADKAR’s fifth stage and Kotter’s sixth step both name this moment. The Heath brothers call it “shrink the change.” We call it the most important 30 days of the engagement.
Hand-off to the Adoption Coach retainer. Monthly adoption metrics. Quarterly nudge experiments. Kotter’s eighth step — anchoring change in the culture — recognizes that change reverts unless it becomes how things are done here. Without sustained reinforcement, day-60 adoption rates drift back toward zero by day 180.
