AI native. Outcomes focused.

Your organization committed to AI.
The hard part is what comes next.

Most mid-market organizations have the intent, the budget approval, and at least one proof of concept that worked. What they don't have is a structured path from that moment to the one where the work actually runs differently.

NO ACCOUNT REQUIRED · NO SALES SEQUENCE · 8 MINUTES

SCROLL TO SAIL ↓
Open water — the mid-market condition

Too big for "just use ChatGPT."
Too cautious to self-experiment.
Too serious to wait.

The mid-market sits in an uncomfortable position. Enterprise AI firms don't build for the 50-plus-employee organizations we serve — the economics don't work for them. Generic SaaS tools assume you have an in-house AI team to configure them.

So the pilots work. And then they stall. And then someone presents the same slide for the fourth quarter in a row.

This is not a technology problem. It is a structured deployment problem. And it compounds every month it goes unsolved.

14 hrs
per FTE per week — the deployment target our Sprint scoping is designed around
DESIGN TARGET, NOT A MEASURED RESULT
$4.63M
average cost of a breach involving shadow AI
IBM COST OF A DATA BREACH 2025
What Changes, and How Fast

Six weeks in.
Your team works differently.
You can measure it.

A deployment like this is built to take a three-and-a-half-hour exception report down to under an hour. The time saved isn't designed to be absorbed by an adjacent task the same shape as the old one — the work is designed to redesign around the capability.

For an IT manager spending Fridays manually tracking which AI tools appeared in the environment that week, the target is a governed deployment running on their own infrastructure, with an audit trail that updates automatically.

The capability doesn't just save time. It changes the shape of the work — what gets reviewed instead of produced, what gets managed instead of tracked, what gets decided instead of calculated.

Run on ourselves · August 2026

We ran our own shadow-AI connector against our own Microsoft 365 tenant for the first time. It pulled 37 real consent grants and 330 real service principals, and three of its working assumptions did not survive contact with real records. Two defects found and fixed the same week.

See the governance path →
The Distinction That Matters

We don't deploy tools.
We change how the work gets done.

The distinction sounds small. It isn't. Tool deployment ends when the licence is active. Workforce transformation ends when your team can't imagine working the old way.

What most organizations have tried
Vendor-led tool rollouts with generic onboarding
AI training sessions that do not change the workflow
Pilots that prove the concept but stall before production
Governance policies written after an incident
Consultants who hand off a document and disappear
What actually changes the work
Role-specific workflow design built around how people actually work
Working deployments in production — not workshops
Structured paths from pilot to production with measurable before/after
Governance architecture built in before the first deployment
A plugin library built to compound with every engagement
The Engagement Journey

Enter where you are.
Every investment carries forward.

Four tiers, each independently valuable. Each paid tier credits forward into the next.

See full engagement detail →
TIER 01 · FREE
Spark Audit
Free · Manager approval
A structured diagnostic. We map your AI footprint, find the root causes of what's stalling, and produce a prioritized report — yours to keep regardless of what you decide next.
ENTRY SIGNAL: You want to understand where AI would actually move the needle before committing budget.
TIER 02 · SPRINT
Workflow Sprint
Director / VP · OpEx
A paid proof of value. Four to six weeks, one role or workflow, a measurable before/after, and a Sprint Report that functions as your internal business case. Fee credited toward a Department Deployment.
ENTRY SIGNAL: You have a specific pain and a sponsor willing to commit a modest budget to prove the answer.
TIER 03 · DEPLOY
Department Deployment
VP / C-1 · retainer
Full department transformation. Five to twenty-five knowledge workers, role-specific workflow design, governance architecture, and a monthly Plugin Maintenance Retainer.
ENTRY SIGNAL: You've seen the model work and you're ready to scale across a team.
TIER 04 · PROGRAM
Intelligent Organization Program
C-suite / Board
Multi-department, enterprise-wide transformation. Phased delivery, board-level reporting, quarterly milestones.
ENTRY SIGNAL: You have a leadership mandate and need a program you can defend quarter by quarter.
Start Here

The fastest way to know
where to start.

Eight minutes. Six to seven questions. A report that maps your situation to the workflows we would scope first. No obligation. No sales sequence.

THE REPORT IS YOURS REGARDLESS OF WHAT YOU DECIDE NEXT