Real-time governance for autonomous agents

Your agents can handle complex payments—conditionals, approvals, cross-border transfers. Lyna proves they had permission, not just that it happened.

Agent activity

Live

Intent verified

2:34 PM

User: "Pay supplier $50k in USDC when order ships"

98% alignmentMulti-step conditional

Policy evaluation

2:34 PM

Amount: $50,000 • Checking 5 policies

Within budget limit
Approved supplier
Awaiting CFO approval (>$25k)

Purchase approved

2:33 PM

"Buy PS5 when price drops below $450"

Price: $449Condition met

Escalated for review

2:33 PM

"Transfer $30k to new vendor account"

First-time recipient • Amount > $10k

Blocked

2:32 PM

"Send $5k to personal account"

Intent mismatch: 67% alignment (< 90% required)

Verified

1,247

Flagged

3

Success rate

99.7%

When agents make financial decisions, you need proof

When your agent processes a $50k supplier payment, handles conditional purchases, or requires multi-party approval—you need proof it had permission, not just logs of what happened.

Authorization proof

When your agent pays a supplier $50k in USDC, can you prove it had permission?

Your audit trail shows exactly what the agent was instructed to do, how it verified intent, and what policies it enforced—not just transaction logs.

Cryptographic verification →

Dispute resolution

Customer claims they never authorized a $1,200 subscription renewal.

Your audit trail shows the original instruction, renewal conditions agreed to, and verification at each step—with cryptographic proof.

Immutable audit trails →

Regulatory compliance

Regulators ask how you govern autonomous payments across borders.

You need policies, audit trails, and proof of enforcement—not promises. Export compliance reports with cryptographic verification.

Compliance-ready exports →

Built for the agentic economy

Agents will handle billions in payments across Shopify, Stripe, OpenAI, and emerging protocols. Lyna provides the governance layer they're all building toward.

OpenAI
Stripe
Google
Anthropic

Compatible with ACP, AP2, MCP, and more

Regulatory momentum

Building the governance layer regulators are calling for

"Policymakers must evaluate the feasibility and adoption of Gen AI and start laying the groundwork for policy frameworks that ensure its responsible integration into financial infrastructures."

- Bank of Canada Staff Working Paper 2025-35

Published November 26, 2025

Cryptographic audit trails

Real-time policy enforcement

Human-in-the-loop oversight

Agent-agnostic architecture

Read Bank of Canada paper

How Lyna proves authorization

Most systems only log what happened. Lyna verifies intent and blocks unauthorized actions.

1

Capture intent

User: "Buy PS5 when price drops below $450 AND it's in stock"

Buy PS5 when price drops below $450 AND it's in stock

2:34 PMCaptured

Lyna captures the exact instruction with full context and conditions

2

Verify before executing

Agent monitors: Price at $449 ✓ • Stock available ✓ • Within budget ✓

Intent alignment97%
Price below $450
Stock available
Within budget limit

Checks 97% intent alignment → Enforces spending policies → Executes when all conditions met

3

Generate proof

Creates cryptographic record of each condition being met

Intent captured2:34:01
Price condition met2:34:02
Stock confirmed2:34:03
Payment authorized2:34:04
Cryptographically signed

Immutable audit trail proving: intent → conditions → authorization → execution

Beyond transaction logs

Your database logs that a purchase happened. Lyna proves the agent was authorized to make it.

Prevention over detection

Stop unauthorized actions before they execute, not just log them after.

Proof of authorization

Cryptographic evidence the agent had permission, not just transaction logs.

Active enforcement

Block policy violations in real-time, not just monitor and alert.

1

User instruction received

"Transfer $25k to new vendor for equipment"

2

Intent verification

Does this align with user request? Alignment: 94%

3

Policy enforcement

⚠ New recipient detected • Amount > $10k threshold

4

Escalation triggered

Requires: Finance approval • Risk review | Status: Awaiting manual approval

5

Approval received

Finance team approved • Risk assessment complete → Payment authorized

6

Cryptographic proof

Complete audit trail with approval chain. Ready for compliance review.

Watch governance in real-time

See how Lyna verifies intent, enforces policies, and builds audit trails as your agent works.

Client Refund

User request

Process $15k refund for client XYZ due to service issues

Lyna2:34 PM

I'll process that $15k refund. This amount requires approvals.

Requesting authorization from:

Finance team
Legal team (pending)
Lyna2:35 PM
Finance approved (Sarah Chen)
Legal approved (Mike Rodriguez)

All approvals received. Processing refund...

Refund processed: $15,000

Client notified

Accounting updated

Governance activity

Real-time verification and audit

Intent alignment98%
Policy checks
All passed
Multi-party approval (2/2 received)

Audit trail

1.

Intent verified

User: "Process $15k refund for XYZ"

2:34 PM
2.

Approval workflow triggered

Amount > $10k • Requires Finance + Legal

2:34 PM
3.

Finance approved

Approved by: Sarah Chen

2:34 PM
4.

Legal approved

Approved by: Mike Rodriguez

2:35 PM
5.

Refund processed

Amount: $15,000 • Client: XYZ Corp

2:35 PM

All events cryptographically signed

Join the early access program

We're partnering with teams building the next generation of agentic payments. Get early access to Lyna and help shape the future of agent governance.

Priority access to the platform

Dedicated integration support

Shape our roadmap

Governance best practices