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how we work

Embedded. Governed. Accountable.

Traditional system integrators were built for long programmes and large teams. We were built for shipping. A small embedded expert squad joins your stack and owns delivery against measurable outcomes.

traditional SI vs rootForge.ai
traditional SI
A 40-person pyramid spends three months discovering what your engineers already know.
  • 12-month roadmaps before line one of code
  • Discovery decks and slideware milestones
  • Junior staff on day-to-day delivery, partners on the closing slide
  • Generic playbooks that ignore your stack
  • Off-the-shelf governance bolted on at the end
  • Handover document and a goodbye
rootForge.ai
A small embedded expert squad joins the repo, ships the first production slice, and proves whether the workflow deserves scale.
  • Working software in the first 2 weeks
  • Outcomes tracked weekly, not slides
  • Experienced AI, platform, and product operators on every engagement
  • Living inside your repos, your data, your standups, your governance perimeter
  • Governance, evals, and policy from day one
  • We hand back a working system and an enabled team
the squad

Who shows up.

Four to six experienced operators. No staffing pyramid. Each squad maps to a single business outcome and stays small.

1 per squad

Tech Lead

Owns the architecture and the relationship. Reports to your engineering leadership.

2 per squad

AI Engineer

Build, evaluate, and harden the agents — instructions, memory, tools, eval loops. Live in your codebase from week one.

1 per squad

Product Designer

Shapes the human-in-the-loop experience and the agent's surface area.

1 per squad

Platform Engineer

Plumbing, observability, cost and policy controls. The discipline that makes this safe to run.

the cadence

Six weeks to first production slice.

01

Diagnostic (weeks 1–2)

We map your data, governance perimeter, and the highest-leverage workflow. We leave with a scoped pilot or a clear "not yet."

02

Foundation (weeks 3–4)

Stand up the platform: model gateway, evals, observability, policy. The plumbing every agent will share.

03

Pilot (weeks 5–6)

Ship the first agent into a governed production workflow. Real data, real users, governed loop.

04

Scale (week 7+)

Compound. Add agents and workflows on the same governance spine. We stay only as long as we earn it.

Reflection is part of the system. Agents surface weak signals, learn from reviewed mistakes, and improve through feedback, evals, memory, and governance. Every production slice ships with feedback loops — evals, reviewer notes, escalation analysis — wired into the orchestration and platform layers. The system improves through governed feedback, never by bypassing it.

Sound like the team you want?