Continuous AI assurance

Know when your AI is no longer what you approved.

MetricsLM establishes an evidence-based Boundary for AI systems, detects material change, and triggers reassessment when existing approval is no longer valid.

Audit-Ready. Always-Ready.

Customer Refund Agent

Boundary · v1

ApprovedMore actions

Approved 16 Sep 2026

Purpose
Resolve eligible customer refund requests
Model
Claude Sonnet
Data
Orders · Customer profiles
Tools
CRM · Refund API
Authority
Refunds ≤ £500
Oversight
Human approval > £500

Material change detected

2 hours ago

Refund authority
£500→£5,000
Source
refund-service/config.ts
Reassessment required

Partnerships, standards & recognition

AI changes after approval. Your assurance shouldn't stay still.

A system can be reviewed, approved, and documented today, then become a different risk tomorrow. Point-in-time assurance is no longer enough once models, tools, and authority can change underneath the last sign-off.

“A point-in-time assurance is not an assurance of what you are running today. If the system can change after approval, the record has to change with it.”

Lena Smart, Strategic Advisor & Investor

A new model
The approved endpoint is no longer the one running in production.
A new tool
The system can now call capabilities that were never reviewed.
A different risk owner
Authority moved, but the last approval still looks current.
A broader permission
Limits, data access, or refund authority quietly expand.

From approval to reassessment·Operating model

The closed loop of continuous assurance.

Define the boundary, watch the system, and reassess when it no longer holds.

  1. 1Define Boundary

    Guardrails, permissions, and scope

  2. 2Baseline v1

    Approved state and expectations

  3. 3Detect Change

    Meaningful runtime changes

  4. 4Reassess

    Update status and approve

Evidence first. Human approved.

MetricsLM does not ask anyone to trust a score. It discovers what a system actually is, proposes a Boundary from that evidence, and keeps every material decision with a human owner.

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Findings
Customer Refund Agent · Review 2
3 require review
FindingSectionOwnerStatus
Refund API exceeds approved limitAuthority
Maya Chen
Security
Blocked
New refund-policy toolTools
Tom Lewis
Engineering
Restricted
Model endpoint changedModel
Priya Shah
Responsible AI
Reassessment
Purpose still matchesPurpose
Daniel Reed
Product
Approved

Evidence

Discovery, analysis, then a human decision.

MetricsLM starts from what the system actually is. Analysis stays tied to that evidence, and Purpose, Boundary, and reassessment stay with a person.

  1. Deterministic discovery

    From source code, models, and tools.

  2. AI-assisted analysis

    Stays cited to technical evidence.

  3. Human approval

    For Purpose, Boundary, and reassessment.

The people behind MetricsLM

Built at the intersection of AI, cybersecurity, and assurance.

Lehar Gupta
Lehar Gupta
Founder & CEO

Building MetricsLM to solve the enterprise problem of AI assurance at machine speed.

Thomson Reuters · Altium

AIUC-1 Research Contributor

Lena Smart
Lena Smart
Strategic Advisor & Investor

Former Global CISO, MongoDB, Tradeweb and New York Power Authority.

Enterprise cybersecurity · Assurance

Co-author, Audit-Ready, Always-Ready

Audit-ready. Always-ready.

Know when an approved AI system is no longer the system you reviewed.