A progressive journey

The work levels up. So do you.

This isn't a project with a finish line; it's a program that compounds. Governance unlocks the first agents. Those agents free up the hours that fund the next ones. The team gets more capable on the way through. We start where you are and stay available as the surface area widens.\n

What compounds where: capability, autonomy, and coverage.

Three things rise on different schedules. Capability shows up first, autonomy follows once trust is banked, coverage widens as the factory scales.

capability autonomy coverage
low high Stage 01 Foundation Stage 02 Build Stage 03 Scale Stage 04 Steady state trust banked → autonomy steepens high → high → broad → most clients start here
Read this as The capability curve outruns autonomy on purpose. We widen the leash once the eval surface, the rollback path, and the operating cadence are real and rehearsed. By Stage 04, the same agent runs more places, with less of our weight on the wheel.
  1. Stage 01 · Foundation Get the house in order. Policy, governance, training, and a first pilot or two. You stop reacting to AI and start running it. Months 0–6 · written strategy, your team in the lead
  2. Stage 02 · Build Stand up the factory. Templates, evaluation harness, review gates, audit trail. Your team ships contextual software safely, with us alongside on the next thing. Months 6–12 · working line, your people leading, our bench at the ready
  3. Stage 03 · Scale Widen the surface area. More agents, more domains, more autonomy. Maturing vendor management, incident response, and board reporting as the footprint grows. Year 1–2 · portfolio of working tools
  4. Stage 04 · Steady state Keep getting better. Quarterly review, regulatory updates, new model migrations, advanced use cases. We stay on call so your team never has to catch up alone. Ongoing · retained, light-touch
1.

Compounding leverage.

Each pilot becomes a template. Each template shortens the next one. The line you built in Stage 02 makes Stage 03 cheaper than the year before.

2.

A standing answer to "what now."

New model. New rule. New vendor. We keep a relationship with your leadership so when something changes, you have someone to call who already knows your stack.

3.

Pricing that follows the work.

Heavy in the first engagement. Right-sized as your team takes the wheel. The retainer scales to where the work is (build, scale, or steady-state) for as long as it's earning its keep.

Year one in motion

Compounding returns, quarter by quarter.

What a first year of partnership tends to look like: foundation in Q1, first agents shipped in Q2, scale in Q3, deepening into a long-term operating partnership in Q4. Year two is when the compounding really shows up.

100% 75% 50% 25% 0 M1 M2 M3 M4 M5 M6 M7 M8 M9 M10 M11 M12 Q1 · Foundation Q2 · First agents Q3 · Scale Q4 · Agentic steady state 95% 14 ~110 24
Policy & control coverage
95% from 20%  +75 pts
Agentic workflows in production
14 from 0  +14
Hours returned to your team / week
~110 from 0  +110/wk
Team members trained & operating
24 from 2  +22
Q1 · Foundation
Strategy, governance, training

Risk register, NIST AI RMF mapped to your regimes, BIAs & PIAs your privacy office will sign. Two team members trained as operators.

Q2 · First agents
Ship, evaluate, harden

Three to five workflows in production with humans-in-the-loop. Eval suites running. Hours start coming back to the team.

Q3 · Scale
Second-wave workflows

The factory pattern multiplies. New agents land within a week. Cross-team adoption. Cost per workflow drops.

Q4 · Agentic steady state
Long-term operating partner

Your team runs the line. We keep shipping specialized agents, playbook updates, and the next wave of capability as the field moves, for as long as it's earning its keep.

Illustrative trajectory based on patterns we've seen across engagements. Actuals depend on starting point, scope, and how much existing tooling we can build on. We size to your reality.