AI Agents • Software Dev · Europe
An autonomous AI workforce across corporate functions
For a Europe-based venture building the autonomous corporation, we architected a coordinated fleet of 30+ agents spanning finance, HR, QA, compliance, and reporting—turning repetitive workflows into audited, always-on loops.
Europe-based AI workforce venture
Brief
For a Europe-based venture building the autonomous corporation, we architected a coordinated fleet of 30+ agents spanning finance, HR, QA, compliance, and reporting—turning repetitive workflows into audited, always-on loops.
Problem
Knowledge work stuck in email, docs, and tribal process
Growing ops load without a path to scale headcount linearly
Fragile handoffs between functions (QA ↔ compliance ↔ reporting)
Need for audit trails when automation touches regulated or financial workflows
What we built
Fleet of 30+ role-specialized agents mapped to corporate functions
Shared orchestration with logging, approvals, and escalation paths
Self-running loops for reporting, QA checks, and compliance prep
Human-in-the-loop gates for high-impact decisions
Impact
Replaced the work equivalent of 4–6 full-time roles without increasing headcount
Cut operational cycle times (reporting, QA, compliance) by 70–90%
Enabled 24×7 execution with audit trails and human approvals where needed
Freed leadership attention for growth instead of repetitive process
Why it matters
Autonomous workforce is not a chatbot farm. It is role design, orchestration, and governance—so agents can run the boring loops while people own judgment.
Have a project that cannot stay a pilot?
Bring the messy version. The one with real users, old systems, and no clean handoff.