ai adoption — built for real businesses

Get there first.

Your AI adoption partner.

We identify & implement AI that pays for itself.

88%

of companies use AI

see it in profit

Up to 10x

improvement with redesigned workflows

// sources: mckinsey, aug 2026  ·  harvard data science review, jan 2026 (2–10x)

Agentify your workflows.

Most business processes were built around human capability and cadence, which results in a start and stop approach. We use the A.G.E.N.T. Playbook to identify and build AI workflows that remove the stops.

today — work, then waiting, then work elapsed 0h 00m

quote

approve

invoice

send

        in an inbox
        until Tuesday
        till someone is back
      

dashed gaps = waiting in an inbox, until Tuesday, till someone is back

agentified — the same work, started at the same moment elapsed 0m 00s

quote

approve

invoice

send

✓ sent — while today's quote is still in an inbox

Plainpath helps you shift from talking about AI to running on it.

STEP 01

Audit

FREE

Our agent Compass maps how your work actually runs today, scores each process for how well AI could run it, and tells you where to start. Free, and you keep the report either way.

Start the audit

STEP 02

Discovery

$7,500 · UP TO TWO WEEKS

We spend up to two weeks with your team digging into the audit results to design an implementation plan that proves ROI. You then choose whether you want us to execute all, some, or none of the plan.

STEP 03

Build

QUOTED FROM YOUR PLAN

We execute on your build plan. The work looks different for everyone, but it always runs in the same order: design, build, train, then measure.

one free · one fixed · one quoted

The method

Audit

Map how the workflow really runs today — tasks, handoffs, bottlenecks — so facts replace assumptions.

Gauge

Define the business outcomes that matter, not just AI outputs, and find where agents add the most value.

Engineer

Redesign the workflow from a blank page with AI as the primary actor and humans where judgment matters.

Navigate

Set the rules of human-AI collaboration: who decides what, when humans step in, how autonomy grows.

Track

Prove it with metrics, baselines, and targets — better results, not just more activity.

// developed by dain studios and harvard data science review board members

companies we work with

Every month our team burned hours rebuilding job-profitability numbers from Sage by hand. Plainpath built us a tool that does the heavy lifting and leaves us just the judgment calls. It has saved us real time and headaches, and they were quick to adjust it when we asked.

Mark Tatum / CFO, Genesco Sports Enterprises

field notes

What we found lately

all notes →

011 Month-end reconciliation, 4 days to 60 secondsGenesco rebuilt job-profitability numbers from Sage by hand. A month-end reconciliation that took the CFO about 4 days by hand now runs in about 60 seconds. case study 6 min 010 AI Readiness Assessment for Small Business: Consolidating What WorksA practical AI readiness assessment for small businesses: the four things to check before you hand a process to AI, a 10-question checklist, and the free audit that scores each process for you. the hub 14 min 009 3 overlooked prerequisites before your small business AI pilotMost AI pilots fail because businesses skip the groundwork. Here are the 3 prerequisites that determine success before you start testing AI tools. thought leadership 8 min

compass — plainpath's audit agent

Fifteen minutes with Compass.

It maps how your work runs today, scores each process, and tells you where to start. Free, and you keep the report.

Get Started

free · 15 minutes · the report is yours