Agentic Systems
Design how humans, agents and tools should actually work together.
We help companies move from scattered AI experiments to an operating architecture: workflows, agent roles, human authority, controls, integrations and the first production proof.
Duration and price are confirmed in writing before anything starts.
A — When this becomes urgent
The experiments worked. The operating model did not follow.
- AI pilots exist, but production ownership is unclear.
- Teams are building agents independently, with no shared authority model.
- Legal and security want controls; the product team needs speed.
- Leadership cannot tell which workflows create measurable operating leverage.
B — What we design
Eight artifacts, all of them operable.
Workflow and decision map
How work actually moves today, where the decisions sit, and which steps carry consequence.
Agent opportunity map
Which steps are worth delegating to a machine, which are not, and what changes if they are.
Agent roles and orchestration architecture
What each agent is responsible for, how they hand off, and who arbitrates when they disagree.
Human authority matrix
Who may act, under whose mandate, inside which limits — and where a human must remain in the loop.
Tool, data and integration map
Which systems the work depends on, what each agent may read or write, and where the gaps are.
Control, escalation and revocation architecture
How a wrong action is caught, escalated and reversed, and how authority is withdrawn immediately.
Evaluation and economics model
How quality is measured and what the workflow costs per run, so leverage is arguable rather than asserted.
First-proof specification and 90-day sequence
The one production workflow to prove first, the evidence it must produce, and the order of moves after it.
C — First proof
Don't scale the assumption. Prove it.
The smallest production workflow — or single governed agentic capability — that can validate the operating architecture in real conditions.
Before agents are rolled across the organisation, the critical assumption has to be tested where the consequence is real but the exposure is small.
Implementation duration and cost are scoped after the architecture, in writing.
D — Research and operator laboratories
We do not only advise on emerging systems. We operate laboratories that test them.
- NIVQRA
- A control layer for delegated machine authority: who may act, under whose mandate, inside which limits, with what evidence and with what path to revoke.I.O.V Lab · Product thesis & first proof · 2026–PresentRead the field note →
- Signal Atlas
- Contextual intelligence and AI-assisted discovery, run as an active I.O.V operator laboratory rather than a finished enterprise product.V1 live · V2 in build
- Tadle
- White-label AI product infrastructure and sandbox framework for teams shipping agentic products.Operating · framework in build
Where are agents beginning to act inside your company?
Bring us the workflow, decision or operating constraint. We will tell you whether an intervention is the right instrument.