One governed gate for every agent in regulated finance
Every agent that touches a customer, a claim, or a transaction is a compliance decision. Lyzr routes all of them through a single enforced gate, inside your own environment.
Banking, financial services, and insurance leaders governing agents on Lyzr
In regulated finance, an ungoverned agent is a liability
The exposure is rarely the model. It is the absence of one enforced path where identity, evaluation, approval, and audit apply to every agent, the same way, every time. Without it, agents stall in pilot or quietly accumulate compliance debt in production.
Four questions your risk team asks. Four controls that answer them.
Which agents touch customer data right now?
The registry answers thisDid this agent pass evaluation before go-live?
The evaluation gate answers thisCan we reconstruct what this agent did, and why?
The audit trail answers thisWhere does our data actually go?
Your own environment answers thisFive controls. Applied to every agent. No exceptions.
Not a policy document. Five concrete controls, enforced on every agent, whatever framework built it.
Registry
No agent serves a customer without appearing in the registry, with its owner, version, framework, and access scope on record. It is the live answer to how many agents are touching regulated data right now, and who owns each one.
Identity
A dedicated identity per agent, least-privilege by default, revoked automatically the moment it retires or fails evaluation. No shared credentials, no unattributed access to core systems.
Evaluation gate
Responsible-AI checks, hallucination scoring against your own ground truth, PII and PHI screening, relevance, and correctness all run before promotion. Fail, and the agent rolls back on its own.
Staged promotion
Every agent clears non-prod, passes the gate, and earns a named human approval before production. Each deployment is version-tagged, and rollback is one command to a known-good state.
Audit and observability
Step-level, immutable traces on every run, tied to the agent’s registry entry and identity. “The AI did it” becomes “agent X, owned by Y, did Z at 14:32, and here is the reasoning.”
Built for the agents BFSI actually ships
The agents already moving into production across banking, insurance, and payments, governed through one pipeline no matter what framework built them.
Banking
Deposits · lending · ops- KYC and AML screening
- Loan origination and servicing
- Dispute resolution
- Regulatory monitoring
- Customer onboarding
Insurance
Underwriting · claims · compliance- Claims processing
- Policy underwriting support
- Regulatory compliance audit
- Partner quality assurance
- Litigation clause extraction
Payments & fintech
Transactions · risk · support- Payments operations
- Merchant support workflows
- Compliance checks
- Fraud and anomaly review
- Back-office processing
The governed path your risk
team will sign off on
Git-driven, version-tagged, evaluated, approved, and identity-mapped, before a single customer sees it.
Git push
commit a71a73dScan and build
image v2.4.3Non-prod
deploy healthyEval gate
RAI · PIINamed approval
signed 2 of 2Production
deploy liveAudit trail
immutableGit-driven, no manual handoffs
- GitHub and Azure DevOps supported natively
- Webhooks trigger the full pipeline on every push
- Production reflects what passed, never what was rushed
Nothing ships unevaluated
- The eval gate is a promotion gate, not a report
- Pass, and a PR opens to prod. Fail, and every resource rolls back
- Continuous checks keep watching after go-live
Rollback is one command
- Every pipeline stage creates a version tag
- A full history of who deployed what, when, and what it passed
- Revert to a prior tag. No guesswork, no downtime
Before the control plane,
production is a guess
Most enterprise agent programs do not stall on bad models. They stall, or pile up compliance and security debt, because there is no governed path from a working demo to production that risk and audit will accept.
| Capability | Ungoverned agents | Lyzr Control Plane |
|---|---|---|
| Hallucination and PII | Reach the customer, discovered later | Gated before production, every time |
| Evaluation | Ad hoc, if it happens at all | Automated gate: RAI, hallucination, PII, correctness |
| Identity | Shared credentials, no attribution | Dedicated identity per agent, auto-revoked |
| Audit | “Something accessed the core system” | Agent X, owned by Y, did Z at 14:32, with a trace |
| Approval | Whoever deploys, decides | Named human approval before production |
| Rollback | An incident, done manually | One command to a prior version tag |
| Data | Unknown egress on shared infrastructure | Runs in your environment, zero data egress |
| Vendor-built agents | Ungoverned and invisible | Same registry, identity, and audit trail |
Governed in your environment.
Audit-ready from day one.
The evidence your risk and audit teams need, produced automatically on every deployment. Not a policy document, the artifacts themselves.
Immutable deployment logs
Every deploy, who approved it, and exactly what it passed.
Evaluation results
RAI, hallucination, PII, relevance, and correctness, captured per run.
Approval chains
Named human sign-off recorded before any agent goes live.
Step-level traces
Every decision reconstructable, tied to the agent’s identity.
ISO 27001:2022 certified. GDPR posture assessed satisfactory. SOC 2 Type II shareable under NDA. ISO 42001 and FedRAMP authorizations are in progress and are not represented as complete.
Financial institutions that made the leap
Not pilots. Production agent systems, governed from one control plane, inside compliant and highly regulated environments.
Retirement advisory
Customers moved off generic chat tools onto a governed retirement advisor, fully compliant and running in production for over a year, with hallucination management and a full audit trail at every step.
Payments intelligence
Agents automating payments operations, compliance checks, and merchant support workflows, with full traceability, governance, and hallucination management at every step.
Regulated operations
A multi-agent orchestration system handling customer support, compliance monitoring, and back-office processing in a highly regulated environment, with full traceability at every step.
AgenticOS at scale
An AgenticOS running 200+ agents that automate 15+ investment functions, from deal sourcing and evaluation through due diligence and memo generation, all in production, every day.
Bring the one high-scrutiny agent that is stuck in review.
Book an architecture reviewWords from the people who
made the call
Every vendor we spoke to had great demos. Lyzr was the only one that could articulate, and then deliver, what happens after the demo. That is a fundamentally different conversation.
We needed a governed path from prototype to production that our security and compliance teams would sign off on. Lyzr was the only platform with the architecture to back the promise.
From zero agents in production to seventeen in six months. The pipeline made it repeatable, the evaluation gate made it trustworthy, and we started having the value conversation instead of the governance one.
Questions risk and compliance ask first
Where does our data go?
How does this help with the EU AI Act, model risk, and DORA?
How do you stop a hallucination reaching a customer?
Can we govern agents our vendors built?
What certifications and attestations does Lyzr hold?
What happens when an agent fails evaluation?
Move your highest-scrutiny agent to production
Bring us the one agent stuck in review and your lowest-scoring control point. We will show you what a governed, audit-ready deployment looks like on your infrastructure, in 30 minutes. No slides.
Book an architecture review