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OUR PRACTICE · AI

Intelligence that
moves business
forward.

We design and ship AI systems that earn their keep. No pilots that die in the deck. No agents bolted onto old workflows. Real software, in production, owned by your team.

+31% IMPACT
2.4× VELOCITY
68% AUTOMATION
12+ HRS/WEEK RETURNED
THE AI LADDER

Five rungs.
Climb in order.

Most teams jump to rung four — the model, the agent, the dashboard. That’s why most AI bets don’t pay off. Climb in order and every rung makes the next one cheaper.

LEVERAGE LEAK

CLICK ANY RUNG TO EXPAND · SCROLL TO ADVANCE

01
RUNG ONE · THE LEAK

Find the leak before you touch a tool.

Most "AI projects" fail in the first two weeks — not because the technology is wrong, but because nobody knew what they were trying to fix. We walk your team's actual work week and map the leaks: where hours go missing, where decisions stall, where revenue slips through. Then we score them by hours, dollars, and risk.

12+
HRS/WEEK MAPPED
5–7
LEAKS IDENTIFIED
2 WK
WALL-CLOCK

FITS WHEN

  • You feel "behind on AI" but can’t name the project
  • You’ve burned cycles on POCs that didn’t ship
  • Your team can’t agree on where to start

SKIP IF

  • You already have a scoped, measured pain
  • The leak is obvious and you just need a builder
02
RUNG TWO · THE INPUTS

Clean the inputs. AI can’t fix bad data.

Garbage in, expensive garbage out. Before any model touches your workflow we get your data, your language, and your handoffs into a shape AI can use. That means a clean source-of-truth, named workflows, and a vocabulary your team actually shares. Boring work, but it’s the reason rung three actually ships.

1
SOURCE OF TRUTH
3–5
WORKFLOWS NAMED
2 WK
TYPICAL WINDOW

FITS WHEN

  • Data lives in three systems with no overlap
  • Two teams use different names for the same thing
  • Handoffs happen in Slack DMs and email

SKIP IF

  • You’re already on a clean modern stack
  • Your data team has this work scoped already
03
RUNG THREE · FIRST SHIP

Ship one workflow. In production. Owned by one team.

One automation. One team. One baseline. We pick the highest-leverage leak from rung one, build the system that solves it, ship it to real users in real conditions, and measure it against the baseline. The win has to be obvious by the end of week six — or we’ve picked the wrong leak.

6 WK
IN-PRODUCTION TARGET
1
OWNING TEAM
+31%
TYPICAL UPLIFT

FITS WHEN

  • You have one painful, well-defined leak
  • You can dedicate one team to run the new system
  • You want a measurable win with a number attached

SKIP IF

  • You want a platform play before any wins are proven
  • No team will commit to owning the result
04
RUNG FOUR · COMPOUND

Compound the wins. Every next bet costs less.

Once one workflow ships, the next one is cheaper. Reused prompts, shared data, the same evaluation harness. We connect the workflows you’ve already built, expose the data they share, and let new bets ride on infrastructure you already own. This is where the curve bends.

VELOCITY ON BET #2
2.4×
REUSE FACTOR
~6 MO
USUAL WINDOW

FITS WHEN

  • Rung 3 shipped and people want the next one
  • Different teams need similar capabilities
  • You’re ready to invest in shared infrastructure

SKIP IF

  • You don’t have a real rung-3 win to compound from
05
RUNG FIVE · OPERATE

Run the system. The org operates on it.

The end state: AI isn’t a project, it’s how the work moves. Roles change shape. New hires arrive into a workspace that already knows how things are done. Old workflows aren’t patched, they’re replaced. We stop being needed and you stop talking about "AI initiatives."

68%
WORK AUTOMATED
90%
CLIENT RETENTION
12+
MONTHS IN

FITS WHEN

  • You’re ready to change how you hire and onboard
  • Leadership is bought in — this is a structural shift
  • Your org is willing to retire old workflows for good

SKIP IF

  • You want bolt-ons, not transformation

AI in numbers

HRS / WEEK
12+

An ops team spends on manual data entry, reconciliation, and reporting.

OF AI BETS
80%

Don’t pay off — because the tool was bolted onto the old work.

FIRST SYSTEM
1

One workflow, one owning team, one measured baseline — then the next bet gets cheaper.

CLIENT RETENTION
90%

Long-term partnerships built on outcomes, not retainer inertia.

Why most AI bets don’t pay off.

01

Jumping to rung four

Buying a model before mapping the workflow it should change. The tool becomes a museum piece.

02

No team owns it

Pilots that sit between teams die. AI work needs a clear owner with skin in the game.

03

No measured baseline

"It feels faster" isn’t a metric. We baseline before we build, every time.

NEXT STEP · OPERATIONALIZE

Pick a rung. Climb it with us.

Thirty minutes. We’ll figure out where you actually are on the ladder — not where the deck says you should be — and what the next move costs.