Gyaani Labs
Your second workforce: AI agents

Put AI agents to work on what matters. Within your rules.

The Gyaani Labs Agentic Authorization Gateway (AAG) empowers enterprises to confidently delegate consequential work to AI agents across Customer Support, Finance, Sales, Operations, IT, and beyond. Before an agent can act, AAG independently validates its proposed actions against enterprise security policies, business rules, and authoritative records. Authorized actions proceed seamlessly. Those requiring human judgment are escalated for approval. Unauthorized actions are stopped before they can cause harm.

Protects againstMisled & rogue agentsMistaken & confused agents
Request a demo →How AAG worksDon’t use AI agents? We can get you started
Confident automation

The value of agents, without the risk.

AAG sits between your AI agents and your business systems, so security and policy are settled before an action happens, not discovered afterwards.

Automate the work that matters

Move consequential work from a person behind every action to safe automation, and realise the value you invested in.

Every action follows your policies

Before anything reaches production, AAG checks the action against your own rules and records, not the agent’s word.

Proof for every decision

Who acted, on whose authority, under which rule, and what actually happened: sealed and ready for your auditors.

Stay in control, always

Agents hold no standing keys. If one misbehaves, its owner is told, and one switch revokes its authority across every connected system.

Integrates with the business systems and identity you already use

AAG reads your systems of record to decide, and acts through them once an action is approved. It sits alongside the agent platforms, gateways and identity you already run. No rip and replace.

Discuss your systems →
Business systems
Agent platforms, gateways & identity

Connected in our current build; the rest are on our roadmap, prioritised with design partners. Product names and logos are trademarks of their owners; listing them does not imply a partnership or endorsement.

Why businesses hold back

Agents can do real work. But they fail in three ways.

So most companies keep agents on narrow, closely watched work, or put a person behind every action, and much of the value stays on the table.

Publicly reported incidents. Each link opens the original report or ruling.

Our point of view

Safe is not the same as right.

Security tools ask whether an agent’s action is safe. AAG also asks whether it is right for your business: allowed by your policies, owed under your records, and authorised by a real approval.

You can’t reliably stop an AI agent from being misled, mistaken or overeager. You can stop its actions from breaking the policies your business sets.

One morning at Harbor & Pine

Four refund requests. Every one valid on the payment rail.

A payment processor will accept every one of these refunds. Only one of them is right for the business. Here is what happens when each is decided from the retailer’s own records and rules.

SamTorn sofaMisled

The agent wants toRefund $1,840 and add two other customers’ orders to the reply. “A supervisor approved it.”

The instruction was hidden inside Sam’s complaint email.

Held for a person

The agent is bound to Sam’s case, so the other orders are refused. A sentence inside an email is not an approval record.

NadiaGift, 75 days oldMistaken

The agent wants toRefund the order under the 90-day gift policy Nadia quoted.

No 90-day gift policy exists.

Not eligible

The 30-day policy that actually governs this order is applied, not the one the agent was told about.

GraceOne ticket, month-endOvereager

The agent wants toHandle Grace’s ticket, then “tidy the queue” by refunding three more orders.

Finance has declared a month-end refund freeze.

Held, owner told

AAG reads the freeze itself. The orders outside the task are refused, and the agent’s owner is notified.

LeoDented kettleLegitimate

The agent wants toRefund $64 for a kettle that arrived dented.

Within policy, within limits, not already compensated.

Refunded once

Prepared, authorized and confirmed with no human review. Stopping the wrong refunds is what lets this one through.

Harbor & Pine and its customers are fictional; each story follows the pattern of a publicly reported incident.

New to AI agents?

Don’t use AI agents yet? We’ll help you start safely.

The safest time to set the rules is before the first agent touches production. We’ll help you begin with one workflow, with your policies enforced from day one.

  1. 01

    Pick the right first workflow

    Find where agents would create real value, starting with refunds and credits.

  2. 02

    Turn your policies into controls

    Your limits, approvals and exceptions, written down and checked on every action.

  3. 03

    Watch before it acts

    Run in observe-only mode and see what could be automated before anything goes live.

  4. 04

    Go live, step by step

    Move eligible work to automation, with success criteria agreed up front.

Talk to us about getting started →
Starting with refunds and credits

See AAG decide your hardest cases.

We start alongside your agents in observe-only mode, and show which cases could be safely automated before AAG controls a single production action.

Request a demo →Explore use cases