Map Where AI Stands.
Build the People
Who’ll Take It Further.

Blueprint scores where every department actually stands against what’s possible, finds the people already closing that gap on their own, and creates and launches real workflows alongside your team.

The problem

Why We’re Here: The AI Productivity Gap

Real investment. Some adoption. Unclear impact.

0%+

of AI projects fail, more than twice the rate of a typical IT project

0%

of AI initiatives haven’t delivered the ROI companies expected

0%

of organizations using AI regularly report no measurable impact on their bottom line

Sources: RAND Corporation, “Why AI Projects Fail” (2025)
IBM Institute for Business Value, 2025 C-suite Study
McKinsey, “The State of AI: Global Survey” (2025)
Why it happens

The technology works, but you’re lacking measurement and ownership.

01

The gap is invisible

Every department has a ceiling for what AI could do, and a floor for what it’s actually doing. Nobody has ever scored the two against each other, so the gap stays invisible until it shows up somewhere expensive.

02

Pilots die without discipline

A pilot without live data, a named owner, a redesigned process, someone who can build it, and a baseline to measure against doesn’t fail loudly. It just stops getting mentioned in the leadership meeting.

03

The builders are already there

Every company has people building useful things with AI on their own time, yet they aren’t visible.

The Blueprint process

A ninety-day engagement.
Three stages.
One decision point after each.

01Weeks 1–2

Assessment

We meet with department heads and run a confidential AXIS survey across the company. Every employee answers privately.

02Week 3

Delivery

The Gap Map, Builder Roster, and prioritized plan, delivered in a working session with leadership.

03Weeks 3–12

Activation

We work alongside your team to ship priority pilots, coach the builders, and create momentum department-by-department.

04Week 12+

Follow-up

A repeat survey measures real movement. Most departments advance a full phase in the first quarter.

The diagnostic

Four questions for leaders and teams.

Same questions, every level. The answers show where to focus first.

A
Action
What can AI do?
P1 → P4
  1. A few people use ChatGPT on their own time.
  2. A handful of tools are approved, but each team uses them differently.
  3. AI is built into specific workflows in at least one department.
  4. AI-assisted workflows are the default way work gets done across departments.
X
Extensibility
Who can build?
P1 → P4
  1. You’d need to ask IT or an outside vendor. There’s no path to do it yourself.
  2. A few technical people could build it, but it’s not really anyone’s job.
  3. A handful of people across the company regularly build and ship their own tools.
  4. Building internal AI tools is a known, supported path in more than one department.
I
Intelligence
What can AI see?
P1 → P4
  1. Almost none. Most AI use is generic, disconnected from your systems.
  2. A few tools are connected to one data source, but it’s manual and limited.
  3. AI tools in at least one department pull real, current company data automatically.
  4. AI systems across the company draw on live, connected data as a matter of course.
S
Structure
How has the org changed?
P1 → P4
  1. Same roles, same meetings, same process. Just faster typing.
  2. A few individuals have changed their own habits, but nothing structural.
  3. At least one team has measurably restructured how it works.
  4. Multiple departments have changed roles or reporting because of what AI now makes possible.
Hover or tap a dimension for the full phase rubric.
Try it yourself — takes one minute

See where you stand on the AI AXIS.

Four questions, one per dimension, drawn from the same framework we use in a real engagement.

Question 1 of 4
Action

Where does AI actually touch your day-to-day operations right now?

The Gap Map

Every department scored, so you know where to start.

Everyone’s answers, plotted department-by-department. Most leadership teams see the actual gap for the first time in this meeting.

Leader-reported Team-reported
P1Not startedP2Early pilotsP3In productionP4Fully embedded
Sales
Operations
Finance
Engineering
Marketing
Illustrative sample — not a real client’s data.
The Builder Roster

The people who can close this gap are already on your team.

Every company has a number of people building with AI, on their own time, with no mandate. We identify them, dig into workflows and give them the coaching and tools to lead the next phase.

Ops analyst — built a scheduling tool nobody asked for
AR clerk — automated the weekly reconciliation
Support lead — built a macro that cut ticket time in half
Sales ops — built a pipeline-hygiene checker
Recruiter — built a resume-screening assistant
Plant supervisor — built a shift-handoff summarizer
Marketing coordinator — built a reporting rollup
Finance analyst — built a variance-flagging script
Who this is for

Built for companies that want to harness AI, not just talk about it.

  • You want a real map of where AI stands across your teams, not a guess from the last leadership meeting
  • Teams are already experimenting and the next step is connecting the work
  • You’re tired of being asked about “the AI strategy” with nothing real to point to
  • Retaining your best people matters, and giving them room to build with AI is part of that story
Before you ask

FAQ

“Who is this actually for?”

If your teams are already experimenting and you need a real plan, this is the gap we close. We work with businesses that have various organizational levels and generate $50M+ in revenue.

“We already have an AI strategy.”

How many workflows are in production? How many hours a month is your team getting back? If those answers are crisp, you don’t need us.

“How do we know this isn’t another report?”

Half the engagement is building. Weeks three through twelve are activation.

Get started

Find out where you actually stand, and uncover the builders who can take it further.