TENIR LABS · AI AGENTS UNDER CONTROL

AI takes action.You stay in control.

Give AI the work. Not the keys to your business.

Understand why now See one concrete case

A market question · recognizable situations · a first explanation

AI agents can initiate payments, update records and make commitments on your behalf. TENIR Labs helps you set the limits, spot risky actions and handle those moments when no one knows exactly what happened.

WHY NOW

AI no longer only answers. It can do things on your behalf.

That is useful — until it sends the wrong payment, changes the wrong record or replies to a customer and no one knows exactly what happened.

See the concrete situations →

01A payment is sent. The confirmation never arrives. Should it be tried again?

02A record is changed automatically. Who checks that it is the right one?

03A reply is sent in the company’s name. Who reads it before it goes out?

THE EXAMPLE THAT CHANGES EVERYTHING

What if your AI paid twice?

An agent initiates a payment. The confirmation disappears. The AI thinks it should try again. But the first payment might already have gone through. How do you avoid a second payment in the dark?

Illustrative scenario · no live transactionExplore real and simulated cases →

Without a clear boundaryRetry in the dark.

A missing response is mistaken for failure. The same operation may be dispatched twice.

RETRY?

With a governed boundaryKnow when to stop.

The governance scenario enters HOLD and requires reconciliation before another attempt.

HOLD

SOLUTIONS, NOT A MAZE

Three ways to take back control.

Start with one consequential decision. Then match the approach to your systems and maturity.

01SERVICE

Execution Boundary Diagnostic

Find your point of no return.

A focused review of one critical flow, its owners, and the blind spots between authorization and consequence.

Explore the diagnostic

02METHODS

REG Prevent · Prepare

Turn policies into operational decisions.

Move from requirements to candidate controls, then from systems to available evidence. Independent or complementary approaches.

Explore the methods

03SOFTWARE · BETA

TENIR-Gov

Put control between intention and impact.

Execution governance for integrated agent actions, with bounded verdicts, HOLD and traceability. Open-source software.

Explore the software

ONE CLEAR JOURNEY

Before. During. After.

01Reveal the blind spots.

02Govern the point of action.

03Recover the facts and evidence.

TRY IT YOURSELF

Fewer slides. More scenarios.

Explore HOLD decisions, duplicate requests and unknown outcomes in an interactive simulation. No connection to a live external system.

Open the full demo Browse all experiences →View the banking scenario · French →

Illustrative scenario · no live transaction

CONTROL TOWER / SIMULATION

CREDIBILITY IN THE OPEN

An ambitious idea. Code you can inspect.

Our approach is grounded in open software, published research and scoped tests. Boundaries and limitations are documented.

Open-source code Research and publications Credibility Journey · 5.7.0

TENIR LABS

You know what AI can do. Find out where to begin.

Ten questions to place your starting point on a maturity journey, identify the next useful check and decide whether outside help is needed.

See my maturity preview ↗Email us →

Diagnostic quoted by scope · software and prototypes at different maturity levels

Status, sources and limits of this presentation

Sources : KB3 · REG v0.1 · skiredj-prog public repositories

TENIR Labs

Know what must hold. Know what you can prove.

Organizations invest in rules, systems, and checks. Yet the gap remains:

What is required is not always clear What is claimed is not always verified What is in place is not always provable

TENIR is the framework that makes that gap visible. REG offers two complementary journeys: anticipate risks upstream, prepare supporting evidence downstream, and distinguish what is established from what remains to be checked.

Two directions. One standard.

PREVENT	PREPARE
From requirement to control	From systems to evidence
Start with laws, policies, rules.	Start with configurations, logs, documents.
Uncover implicit assumptions.	Inventory what exists — and what is missing.
Identify risks before they materialize.	Build a defensible record before review.
Clarify first, then act.	Qualify every piece; do not fill gaps with fiction.

→ REG does not certify. REG illuminates.

At the core of TENIR

Integrity : never present uncertainty as established fact Traceability : link every finding back to its source Preservation : human judgment remains final Reversibility : correct, document, never erase Clarity : display what is incomplete, ambiguous, or absent

“Beyond the checklist.”

REG — Prevent · Prepare · Demonstrate

Discover REG → Understand the framework →