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AGENTIC AI PLATFORM18 PRODUCTS / 3 SUITES / 1 GOVERNANCE PLANE

Everyone is building agents.
We deliver governed outcomes.

From HR onboarding to audit readiness, vendor risk to API release — Moderor.ai delivers governed outcomes across your enterprise.

HR onboardingaudit readinessvendor riskregulatory complianceAPI delivery
Detection is automatic. Judgment is not.

The problem isn’t building agents.
It’s running them.

/ THE PROBLEM
Your board approved the AI budget. Your team shipped the prototype. Now legal wants to know what data it touches, compliance wants an audit trail, IT wants to know where it runs — and the business wants to know why it isn’t live. The problem was never building agents. It’s governing them in production.
Ø1

Governance

Who owns what the agent does? Who approved the last action? Moderor routes every exception to a named human, with a timestamp and a reason.

Ø2

Compliance

Regulators don't accept “the AI decided.” Every action produces an audit-ready trail — model used, data touched, human sign-off, outcome logged.

Ø3

Production scale

Demos run in sandboxes. Production runs in regulated environments with real data, SOD controls and masked credentials. Moderor was built for the second.

Without governance, agents don’t scale. Without Moderor, governance doesn’t ship.

Governed by design.
Not bolted on.

/ THE DIFFERENCE
Every Moderor agent is authenticated, policy-bound, traceable and audit-ready from the first run — not configured in after the fact.
Ø1

Authenticated

Every agent carries masked credentials and a role-based identity. Access is scoped, not open — zero-trust from the connection layer up.

Ø2

Policy-bound

Agents operate within defined guardrails — SOD rules, control thresholds, regulatory logic — enforced at runtime, not just configured at setup.

Ø3

Traceable

Every decision and action carries a full chain of reasoning: model used, data source, human approver, outcome. Nothing is anonymous.

Ø4

Audit-ready

Regulator-ready exports on demand — full evidence packages covering every run, approval and remediation, structured for your audit cycle.

We operate inside your control plane. Not alongside it.

We fly on your plane.

/ INFRASTRUCTURE
Agents deploy on the infrastructure you already own — public cloud, your API gateway, or fully on-prem and air-gapped. No new security model, no re-architecture, no data leaving your perimeter.

Microsoft Azure

Azure financial-services landing zone, Entra ID, native agent deployment. VPC option available.

✦ Live

AWS

Runs inside your AWS account behind your VPC and IAM. Nothing leaves your boundary.

✦ Live

Google Cloud

GCP-native and Vertex AI compatible, under your VPC Service Controls and IAM bindings.

✦ Live

WSO2

API gateway, identity layer and integration platform, with full MCP support.

✦ Live

On-prem and fully air-gapped options available. Your stack, our intelligence.

The frameworks your auditors expect.
Already built in.

/ FRAMEWORKS
Moderor agents are grounded in the regulatory frameworks that govern your industry — mapped to controls, cited in findings, and referenced in every audit export.
RBI
Banking
FFIEC
Financial
NIST
Cybersecurity
GLBA
Financial
GDPR
Privacy
SOX
Financial
HIPAA
Healthcare
PCI DSS
Payments
ISO 27001
Security
FATF
AML / KYC
SEBI CSCRF
Capital Markets
OCC / Fed
Banking
COBIT
IT Governance

Every regulation. One platform.

Outcomes from day one.

/ OUTCOMES
Ø1

Audit & Compliance

Continuous control monitoring, auditor workbench and CAPA — from observation to closure.

Ø2

Risk & Vendor

Third-party and vendor risk assessed continuously, with findings routed for human sign-off.

Ø3

HR & Identity

Onboarding, access governance and KYC verification, governed end to end.

Ø4

Engineering & APIs

From BRD to running software — built, tested and security-scanned by agents.

This isn’t automation. It’s execution.

AI executes.
Humans govern.

/ HUMAN CONTROL
Agents monitor continuously. Exceptions are escalated. Humans approve critical actions. Everything is logged. Nothing auto-remediates without a decision — you stay in control.
Ø1

Agents watch

97 agents evaluate controls continuously against live MCP data.
Ø2

Exceptions surface

Non-compliance is classified with a matched reference and routed instantly.
Ø3

Humans decide

Every finding reaches a named approver before any action is taken.
Ø4

Everything logged

Model, data, approver, decision, action — all in one audit trail.

Detection is automatic. Judgment is not.

Live in weeks.
Not quarters.

/ 4-WEEK PILOT
Start with one workflow on your own infrastructure. Real data, real outcomes, full audit trail — no commitment beyond the pilot. Most customers are in production within 60–90 days.
WEEK 0 — START

Connect & configure

Deploy on Azure, AWS, Google Cloud, WSO2 or on-prem. Connect one source over MCP and configure one workflow with your control set.

WEEK 1–2 — RUN

Agents go live

First findings surface within hours. Exceptions route to your Approval Center; your team reviews, approves and closes the first loop.

WEEK 3–4 — MEASURE

Real KPIs

Detection time, false-positive rate, time to remediation, audit-evidence count — from real production data, not a demo.

WEEK 6 — DECIDE

Expand or exit

Full evidence package and ROI. Expand to more workflows and suites — or exit with your data intact. No lock-in.

Running in production.
Measured in real numbers.

/ PROOF
0%
Faster audit readiness vs. manual
0%
False alerts cut before analysts see them
0.0%
Average KYC verification confidence
0×
Faster investigations with alert triage
0
Audits under management
0K
MCP records synced live
0%
Reduction in compliance overhead
0%
Population validation coverage

Questions, answered

FAQ
What is Moderor.ai?

Moderor.ai is a multi-suite, agentic AI compliance and operations platform. It connects enterprise data sources over MCP, sets AI agents to continuously analyze them against compliance controls, and routes every failure into human-governed workflows — approvals, remediation tasks, audits and cases.

How is Moderor different from a classic GRC tool?

Four ways: it is agent-native (97 production agents with run histories and guardrails), MCP-native (one protocol catalog instead of bespoke connectors), RAG-grounded (decisions cite your SOPs and regulations), and human-in-the-loop by design — nothing auto-remediates without approval.

How many products does Moderor include?

Eighteen products across three suites plus an admin console: six in GRC (governance, risk and compliance), four in BOM (business operations mesh), seven in APPcelerate (software delivery), and the Platform Admin Console.

Which AI models does Moderor use?

Any model, public or on-prem. Administrators configure models per agent — public APIs like Anthropic Claude Opus 4.8 and Sonnet 4.6, Google Gemini 3 Pro, and OpenRouter-hosted OpenAI GPT-5, or models running inside your own perimeter such as Llama on your GPUs and private fine-tunes behind your firewall, fully air-gapped if required. All with masked API-key management.

Does Moderor auto-remediate compliance issues?

No — by design. Agents detect, classify and propose; humans approve. Every non-compliance log flows through an Approval Center before any action, and every action carries an SLA, severity and named owner.

See it on your data. Live in weeks.

Connect a source over MCP, point an agent at a workflow, and watch the first governed outcomes arrive — on your infrastructure, with your people in command. Azure · AWS · Google Cloud · WSO2 · on-prem · no lock-in.