CONTROLLED AI-AGENT OPERATIONS

Give agents a defined path to act — and a reliable reason to stop.

Agents Align is advancing bounded, evidence-aware AI-agent control from an initial proof of concept into structured validation toward production deployment.

See the approach Explore a guided demo
A bounded decision path
  1. 01
    DeclareState the proposed action and its intended outcome.
  2. 02
    CheckTest the proposal against explicit governing constraints.
  3. 03
    VerifyUse evidence and uncertainty as reasons to pause, not to overreach.
  4. 04
    RecordRetain a traceable decision receipt for review.

THE APPROACH

Control before capability.

The central question is not only what an agent can do. It is whether a particular action, in a particular context, is justified and within scope.

01

Declared scope

Actions and intended outcomes are expressed before evaluation, so the decision boundary is explicit rather than implied.

02

Evidence-aware restraint

Missing, ambiguous, or conflicting evidence should lead to a halt or review—not a confident guess.

03

Traceable decisions

Decision receipts make it possible to inspect what was evaluated and why a proposal was constrained.

DESIGN PRINCIPLES

Designed to make uncertainty visible.

Agents Align is being developed around boundaries that resist silent expansion of authority.

01

Constraints come first

Governing rules are a prerequisite to any later assessment; they are not a score an agent can negotiate around.

02

No implicit execution authority

An evaluation path is not an authorization path. Assessments must not quietly become permission to act.

03

Human review remains meaningful

When evidence is insufficient, the system is designed to preserve the decision for accountable review.

VALIDATION PATH

From research foundation to production-oriented validation.

Agents Align has completed its initial research and proof-of-concept phase and is entering structured validation toward production deployment. The current focus is demonstrating controlled evaluation and refusal boundaries under defined conditions—not claiming autonomous operational authority.

Foundation completedDeterministic constraint checks, uncertainty halts, decision receipts, and adversarial benchmark coverage.
Validation now underwayControlled pilot scenarios, repeatable evidence, and deployment readiness—before any expansion to production authorization or external action.

AZURE VALIDATION

External API boundaries validated on Azure.

Agents Align has been deployed to a closed Azure Container Apps staging environment. In a controlled end-to-end validation, an authenticated connector running outside Azure sent a signed, minimized observation over mTLS to the Azure-hosted API boundary.

VALIDATED FLOWAZURE STAGING
  1. 01
    External connectorA registered external system sends a signed, minimized request.
  2. 02
    Authenticated API boundaryAzure validates the connector through mutual TLS and rejects replayed requests.
  3. 03
    Bounded responseThe system returns a controlled recovery decision; it grants no authority and performs no external action.

Current status: this is closed staging, not a live customer service. Intake is disabled, no customer connector is active, and no customer data is accepted. The validation demonstrates an Azure-hosted integration path for a registered external API client while production persistence and private-network controls remain gated pilot work.

VALIDATION & BENCHMARKS

Tested against pressure to exceed the boundary.

A deterministic three-agent governance corpus tests whether constraints hold when agents compete, proposals conflict, or a request attempts to escape its declared scope.

3distinct agent roles
36labelled benchmark cases
0external effects
0grants issued

What was tested: undeclared external scope, irreversible changes, secret-access attempts, proposed replacement of a bounded action, contradictory or missing evidence, and cross-agent receipt substitution.

What the result means: In this controlled corpus, out-of-scope cases were denied or routed to review; an eligibility receipt from one agent could not be reused by another. The benchmark is research evidence for boundary enforcement, not a security certification or a claim of production readiness.

GUIDED EVALUATION

Try a bounded evaluation.

Choose an illustrative scenario to see how declared scope, evidence, and constraints shape a decision.

This interactive preview uses synthetic, pre-defined scenarios. It makes no network calls, executes no actions, and grants no authority.

Request a guided demo
Illustrative evaluationSIMULATED

Selected: Out-of-scope request

Runs only in this browser with synthetic scenarios. Do not enter customer data, credentials, or system details.

EVALUATION RESULT

Ready to evaluate

Choose a synthetic scenario and run the evaluation to inspect its bounded decision receipt.

Constraint
Awaiting scenario
Evidence
Synthetic examples only
External effect
None
Grant issued
No

Illustrative receipt AA-DEMO-READY

The guided demo is an evaluation experience, not a production authorization service and not an invitation to connect live systems.

PARTNERSHIPS & VALIDATION

Interested in governed agent operations?

We welcome conversations with enterprise technology teams, validation partners, and organizations exploring accountable AI-agent deployment.

Contact Agents Align