Our platform

ArmyAI

More delivery value. Same team.

ArmyAI is an on-prem AI agent platform that augments your software delivery team. Four ready-to-use roles deploy in your infrastructure, governed by a deterministic orchestrator and calibrated by our human experts.

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The problem

Software delivery is breaking under three pressures.

Hiring is slow

Recruiting a junior engineer takes six months. Turnover sits around eighteen. The bench you build keeps shrinking.

Day rates are climbing

Senior contractor day rates have crossed €600. The maths of staffing a team with people you don't keep is harder every year.

Backlogs pile up

Specs, test plans, technical docs, refactors — they accumulate faster than they get written. Team leads are the first ones to feel it.

How we engage

Four phases. From audit to a running platform.

Audit & advisory

1–3 weeks

We audit your current delivery flow, map the bottlenecks, and propose a target architecture and a pilot scope.

Setup & integration

1 week

We install ArmyAI on your infrastructure, configure your enterprise / team, and wire up the human-in-the-loop channel.

Guided pilot

1 month

Your team uses ArmyAI on real features, accompanied by our experts. We measure cadence and quality, then write a pilot report.

Run + quarterly expert régie

Monthly + 3 days/quarter

The platform runs in production. Our SDLC experts come on-site three days per quarter, under NDA, to review outputs, tune personae, and evolve the roles.

The crew

Four roles, ready on day one.

PO / PM

Functional spec, product docs

Translates user intent into structured specifications. Asks the right questions before writing. Keeps product docs aligned with what shipped.

Architect / CTO

Technical spec, technology choice

Frames the technical solution, justifies trade-offs, and keeps the architecture coherent across features.

Test plans, acceptance

Writes acceptance criteria and test plans, runs the recipes, and reports defects with reproduction steps.

Dev

Implementation, refactoring, code docs

Implements features against the spec, refactors safely, and keeps code documentation in sync with the diff.

Why this, and not something else

Three things that nobody else combines.

Deterministic orchestration

An explicit, YAML-driven workflow decides what's next — not an LLM picking its own path. Predictable, auditable, debuggable.

A memory that compounds

Every correction, every decision, every doc enriches your agents' memory. Versioned in Git. Auditable, editable, portable. The longer you use it, the more value accrues to you.

LLM-agnostic by design

Pluggable runner adapters. Two are official (Claude, Cursor); custom adapters are open. If your LLM strategy changes, the platform doesn't.