Data and AI governance for the enterprise
EU AI ActGDPRDORAPRA SS1/23FCA Consumer DutySR 11-7DPDP ActRBI FREE-AI

Govern AI agentsat the speed of AI.

See every AI agent. Understand every obligation. Prove compliance. RegixAI is the regulatory intelligence and governance layer for enterprise AI: it continuously discovers AI agents across your organisation, understands regulatory requirements from live public intelligence, maps regulations to the jurisdictions and AI systems they affect, and identifies where you are exposed.

AI-driven regulatory intelligence agent
Autonomous AI discovery and monitoring
AI compliance scorecard

From AI agent discovery to regulatory impact assessment, compliance scoring, audit evidence and remediation: one continuously updated view of your AI governance posture.

83% of enterprises plan to deploy AI agents. Only 29% are fully equipped to secure them.Cisco AI Readiness Index, 2025RegixAI closes the gap between AI ambition and regulatory readiness.

RegixAI Overview for the fictional Northgate Bank, showing assessment coverage, At a glance metrics, regulation changes and actions needing attention.
RegixAI OverviewIllustrative client data · 1 Sep 2026
$492m
forecast spend on AI governance platforms in 2026, passing $1bn by 2030.
Gartner, Feb 2026
€7.1bn
of GDPR fines issued since 25 May 2018, €1.2bn of it in 2025 alone.
DLA Piper, Jan 2026
7%
of worldwide turnover, or €35m if higher: the EU AI Act's maximum penalty.
EU AI Act, art. 99
40%+
of agentic AI projects will be cancelled by the end of 2027; inadequate risk controls are a leading cause.
Gartner, Jun 2025
25%
of enterprise breaches will be traced back to AI agent abuse by 2028.
Gartner, Oct 2024
443
personal data breach notifications a day across Europe, up 22% in a year.
DLA Piper, Jan 2026

Why now

AI governance is now an
operational requirement.

Your AI moves faster than your oversight. The rules are already written.

RegixAIAI GOVERNANCE, MADE OPERATIONAL
1

You cannot govern
what you cannot see.

Models, copilots and agents spread across teams before they reach your register.

Visible AIShadow AI
Approved modelsUntracked tools
Your AI estate
FinanceOperationsCustomer service
Your AI estate changes weekly.
3

Regulators ask
for records.

A policy is the starting point. Evidence connects it to what your AI actually did.

  1. AI activityWhat the system did
  2. Applicable ruleThe control behind the check
  3. Assessment outcomePass, violation or owner review
  4. Named ownerWho is accountable
  5. TimestampWhen the record was captured
Evidence you can trace, not just a claim.
4

Accountability
needs an owner.

Make responsibility visible across every system, policy and jurisdiction.

Named accountable ownerClear responsibility. Visible evidence.
Ownership linked to the record
Know who owns the next action.
01Regulatory intelligenceUnderstand the rules. Keep policy current.
02AI agent observabilitySee your estate. Assess it. Keep the evidence.
The cost of waitingBlind spots grow. Evidence gets harder to recover.
Unseen AIMissing evidenceUnclear ownershipMake governance operational
Explore the EU AI Act: risk tiers, penalties and application timeline

The EU AI Act, at a glance

Regulation (EU) 2024/1689, in force since 1 Aug 2024

Four risk tiers, fines above GDPR's ceiling, and application dates that are already landing. This is the shape RegixAI keeps current for every regulation it tracks.

Every AI system falls into one of four risk tiers

Unacceptable riskbanned since 2 Feb 2025 Social scoring, manipulative systems, untargeted scraping of facial images.
High riskstrictly regulated Credit scoring, recruitment, medical devices, critical infrastructure: risk management, logging, human oversight, registration.
Limited risktransparency required Chatbots and deepfakes must say what they are.
Minimal riskno new duties Most other systems; voluntary codes of practice.

Penalties, article 99

€35m or 7% Prohibited practices.
€15m or 3% Most other obligations, including the high-risk duties.
€7.5m or 1% Incorrect or misleading information to authorities.

Each fine is the higher of the fixed sum and the share of worldwide annual turnover.

When it applies

1 Aug 2024In force 2 Feb 2025Prohibitions apply 2 Aug 2025General purpose AI duties 2 Aug 2026High-risk duties: the main deadline 2 Aug 2027High-risk in regulated products; legacy general purpose models you are here

The main deadline has already passed. RegixAI maps each of your AI systems to its tier and its articles, and rescores your estate as every date lands.

Articles 5, 50, 99, 111 and 113

Regulatory intelligence

Customise regulatory policy.

A team of RegixAI agents reads every Data and AI regulator you answer to, keeps the original source, and writes each policy in plain language with a citation on every line. You decide which rules apply to which department, by ticking a box or simply saying so.

1

Agents read and cite.

Specialist agents each take a regulator or a regulation and draft the document. A lead agent checks every claim against the source and sends drafts back until it is satisfied. Sources are stored as retrieved and never edited.

2

You select the rules per department.

RegixAI lists the obligations that apply to your industry and jurisdictions, grouped by where they overlap. Tick the ones that apply to retail lending, payments, treasury or any department you define.

3

You customise by voice or text.

Say how a policy applies in your organisation. RegixAI transcribes it, shows you the text to confirm, and keeps both the recording and the transcript against the policy.

RP-014 EU AI Act art. 9 EU Risk management for high-risk AI systems

Every high-risk AI system needs a documented, continuously updated risk management process covering identification, estimation and mitigation, tested before and during use.

art. 9(2), Regulation (EU) 2024/1689 Source snapshot, 12 Aug 2026
Lead agent review: 3 rounds, accepted 12 Aug 2026
Retail lending Payments Treasury Marketing

"Applies to retail lending only for decisions above 25,000. Treasury is out of scope until the model goes live in Q1."

Saved to history, 14:02, S. Ayyappan, 0:14 recording
A team of specialist agents, not one model
A lead agent that reviews until satisfied
Sources kept as retrieved, never edited
Plain language, cited, versioned, watched daily

Agent observability

Every agent found. Every rule scored. Every change kept.

RegixAI discovers the AI agents running across your clouds and tools, learns what each one does from its logs, suggests the rules that apply, and scores it against the rules your people approve. Owners correct the picture by speaking, and nothing is ever overwritten.

Collections Outreach Agent
Collections, owner L. Barrow, UK, live since Mar 2026
Violated 61%
FCA CONC 7.9, arrears handlingCompliant

contact hours and frequency inside policy in 1,204 calls

FCA Consumer Duty PRIN 2A.6, vulnerable customersNon-compliant

no vulnerability procedure attached to the agent

EU AI Act art. 26, deployer dutiesNot assessed

action for owner: confirm jurisdictions

"This agent is compliant with 2A.6. The procedure was attached on 3 September and the team was briefed."

Override by L. Barrow, 3 Sep 2026, voice, 0:11
30 Aug, RegixAI: non-compliant 3 Sep, L. Barrow override: compliant 8 Sep, rescored: compliant

Earlier records stay. Nothing is overwritten.

1

Discover.

Read access to the clouds, gateways and observability tools your agents already use is enough. RegixAI lists every agent, keeps its logs as the untouched source of truth, and adds the metadata owners provide by form, voice or document.

2

Suggest and approve rules.

From the logs and metadata, RegixAI suggests the rules that apply to each agent, grouped by jurisdiction. Your governance lead ticks, unticks and saves them as human reviewed.

3

Score.

Each agent is assessed against each approved rule with the evidence and the reason. Scores roll up per agent, per regulation and per jurisdiction, and rescore whenever anything changes.

4

Override, with the record kept.

Owners change an assessment by speaking or typing. The earlier assessment stays, the override is appended with the recording, and an auditor can walk the whole history.

The platform

Five jobs. One dashboard.

RegixAI runs as a governance layer around the AI you already operate, in your cloud or on-premises. Follow the pipeline.

Regulation, read by a team of agents

Specialist agents read every Data and AI regulator in your jurisdictions; a lead agent reviews each draft against the source until it is satisfied. The result is plain language with a citation on every line.

Hover or tap a step to explore it.

AI drafts, cites and suggests. Your people select, approve and override. Nothing is ever overwritten.

Use cases

Govern AI where the rules are strictest.

Wherever AI acts under regulation, RegixAI shows which obligations apply, which agents meet them, and what the owner did about the rest.

Credit and lending

Know which Consumer Duty and EU AI Act obligations your lending agents carry, and which they meet today.

FCA PRIN 2A / EU AI Act annex III

Payments and transfers

See every payments agent, its jurisdictions and its DORA and PSD2 rule set, scored and owned.

DORA art. 9 / PSD2

Trading and portfolios

Map trading agents to MiFID II and SS1/23 obligations; owners confirm or override with the reason on record.

MiFID II art. 17 / PRA SS1/23

Fraud and AML

Show the auditor which screening agents run, under which FATF and MLR rules, with the full history of every assessment.

FATF R.10 / MLR 2017

Customer operations

Keep customer-facing agents inside Consumer Duty, with vulnerable-customer evidence attached, not assumed.

FCA PRIN 2A.6

Employee AI and copilots

Find unsanctioned AI in use, register it, and bring it under the same rules as the rest of the estate.

discovery / GDPR / DPDP

Deployment

Connect your AI estate.

RegixAI observes; it does not sit in your agents' path. Read access to where your agents run is enough to start, and your data stays in your network.

Cloud read access

AWS Bedrock and CloudTrail, Azure OpenAI diagnostics, Google Cloud audit logs: the agents you run and every call they make.

LLM gateway logs

LiteLLM, Portkey and similar gateways: one feed for every model call across teams.

Observability tools

Langfuse and OpenTelemetry traces: agent runs with the detail your engineers already collect.

On-prem collector

A lightweight container inside your network. Data never leaves; only metadata syncs.

Register by hand

A form or a CSV import for the agents nothing observes yet, so the register is complete from day one.

Designed for the stack you already run: LangGraphCrewAIOpenTelemetryLLM gatewayscloud audit logs Your agents keep their code.

Coverage

One library, every jurisdiction you operate in.

The same agent estate, assessed against each jurisdiction's rulebook, so cross-border activity never slips past a local obligation. Scorecards and reports all resolve per jurisdiction.

United KingdomGB
  • PRA SS1/23
  • FCA Consumer Duty
  • SM&CR accountability
  • UK GDPR and DPA 2018
European UnionEU
  • EU AI Act
  • DORA
  • GDPR
  • EU Data Act
United StatesUS
  • SR 11-7
  • NIST AI RMF
  • State AI acts
  • CCPA and state privacy acts
  • Colorado AI Act
IndiaIN
  • RBI FREE-AI
  • DPDP Act
  • SEBI guidance

RegixAI

Every agent, under a rule you approved.

See it the way your board will: open the library, pick the rules for a department, watch the scorecard move, and walk the history of an agent an auditor would ask about. Early access is open to a small number of design partners.

Or write to regixai.tech@outlook.com and tell us what your AI estate runs.

Assessment 30 Aug, RegixAI: non-compliant
Override 3 Sep, L. Barrow, voice: compliant
Rescored 8 Sep, RegixAI: compliant
History complete nothing overwritten