Fig. 00 · Thesis ForgeMy LLC · Est. 2026

Your best orchestrator probably can't code. Have you found them?

ForgeMy is where we prove what one looks like: a Product Builder directing orchestrated AI under real governance, with a paper trail your CFO and your auditors can read. A quarter of the spend. Outcomes you can defend to the board.

See the model Inspect the evidence
Fig. 01 · The whiteboard

How the org changes, piece by piece.

Six panels. Start with a real 100-person agile program, end with what replaces it.

Fig. 1.1

The human apparatus, as most orgs run it today

Every seat is a person. Pick your size; the structure and the quarterly bill follow.

One team · founder / PO + 5 dev / test · everyone does everything
6 butts in seats
The team
PO
Headcount
6
1 team of 6 · founder as Product Owner
One quarter, 13 weeks
$390k
6 × 40 hrs × 13 wks × $125
Reaches go-live as intended
Some of it
The rest is coordination, rework, misses, and gaps
And if they miss the deliverable?
Still $390k
You pay for the seats, not the outcome. Then again next quarter.
Fig. 02 · Three ways to build software

Waterfall's discipline. Agile's learning. AI's speed.

Waterfall, 1970. Agile, 2001. Why are we surprised there's a next? The third isn't vibe coding: it's the first two, married, minus the waste built into each with AI orchestration.

Fig. 2A · The AI Builder

One backlog, six documented stages, every kind of work in flight at once. Slow for two days, then it compounds.

First feedback
Days, not months
Paper trail
Complete, on every loop
Keeps
Waterfall's discipline + Agile's learning + DevOps speed
Fig. 03 · The roles that emerge

Product Manager → Product Builder
Engineering Leader → Orchestration Lead

Today product and engineering meet at a handoff, and the handoff is where the friction lives: tickets, estimates, translation, waiting. Under this model the two roles change together. The Product Builder carries an idea from intent to release, AI doing the distance, one human accountable. The Orchestration Lead builds the organization that makes that possible: missions, objectives, guardrails, and the people who direct the AI.

Not a new department. A partnership that removes the seam between deciding and building.

“The result I did not expect: under this model I spend more time with customers, diagnosing their problems, than at any other point in my product or Agile career.
Michael Swansegar · Co-founder
The stack ClaudeChatGPTJarvisGitHubLinearShortcutSOP-driven queues
Fig. 04 · Want to talk more?

Want to talk more? The model is meant to leave the building. Three ways in.

01 · Diagnostic 2 weeks

The read

Ten conversations across your C-suite, product, and engineering. Your cost math, in your numbers. One page on what to change first.

You walk away with

A decision: where the AI-orchestrated model pays off in your org, and where it does not yet.

Fixed fee Book the read
Most orgs start here
02 · Pilot 90 days

One product, this way

One real product. We stand up a Product Builder + Architect pair, the three AI layers, the SOPs and gates. Shipping weekly by week three.

You walk away with

A shipped product, the playbook that built it, and two people in your org who can run it again.

Fixed fee + AI spend at cost Start a pilot
03 · Lead it Ongoing

Head of Product who builds

Fractional or full-time. Portfolio strategy, the operating model rolled across programs, and we keep building alongside your teams.

You walk away with

A product organization that ships with AI and can prove it to the board.

Retainer or hire Start the conversation