Every system asks if an action is allowed. None asks if it should happen.

Control AI & Human,
under one policy.

Tredy runs risk-related work, creates one company policy, and enforces your rules across your organization's systems and endpoints.

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Trusted inside a Fortune 500 enterprise

We evaluated 10 vendors. Tredy was the only one that could map regulations to obligations, collect evidence, and produce a response — easily, reliably, at scale.
Global Head of Compliance & Regulatory A Fortune 500 global insurer

Governing AI and human actions across the tools your teams already use

  • Claude
  • ChatGPT
  • Slack
  • Microsoft Teams
  • Microsoft 365
  • Gmail
  • GitHub
  • GitLab
  • Telegram
  • WhatsApp
  • Supports
  • DORA
  • EU AI Act
  • ISO 42001
  • ISO 27001
  • NIST AI RMF
  • NIST CSF
  • NIST 800-53
  • SOC 2
  • GDPR
  • HIPAA
  • PCI DSS

The gap

Heavy work. No single policy. Unchecked actions.

Three gaps, and they are the same gap — nothing holds the company's rules where the work and the actions actually happen.

Work

The workflows are heavy, and they are manual.

Every vendor, model change, circular, incident and control failure creates work that must be completed, evidenced and approved. Today it is done by hand, from scratch, every time.

Knowledge

There is no one policy to work against.

The rule sits in a PDF reviewed annually, and is encoded differently in five systems. Nothing can read it at the moment it is needed.

Enforcement

Authorized actors still take the wrong action.

Your people and your agents hold valid credentials and correct permissions. Nothing checks whether the action itself should happen — malicious or mistaken.

The enterprise has policies. It does not have one operational answer.

Introducing Tredy

Three gaps. One system.

The work runs, the work writes the rules, and the rules govern every action — in one place, with the evidence attached.

ServiceLoadStatus
RR Regulatory ResponseNIS2 amendment · run #64 Awaiting sign-off
VO Vendor Onboarding87 suppliers · run #212 Running
RH Regulatory HorizonNAIC 2026-04 detected Ready
PL Policy LifecycleDraft v8 · 4 stakeholders Running
IT ITSCM & DR TestingQ3 exercise · recorded Ready
RR Regulatory ResponseDORA Art. 19 · run #71 Ready
VO Vendor OnboardingCloudspan · SOC 2 lapsed Awaiting sign-off
RH Regulatory HorizonNIS2 · daily sweep Ready
PL Policy LifecycleRetention v3 · signed off Ready
IT ITSCM & DR TestingFailover drill · logged Ready
RR Regulatory Response Regulation in, evidenced response pack out run #64 awaiting sign-off
Regulation changed 10:03 NIS2 amendment
Extracted obligations 10:07 142 from 9 articles
Matched policies 10:12 Third-Party Risk v7 +4 more
Attached evidence 10:15 88 controls each one cited
Found gaps 10:16 3 obligations uncovered
Wrote rules 10:18 142 into the playbook
Export ready 10:20 NIS2-response.zip for sign-off
17m 45s · no analyst touched itIllustrative
RuleSourceState
R1 Supplier SOC 2 currencyGroup §3.2 · S. Okafor Enforcing
R2 Purchase approval thresholdGroup §3.4 · N. Patel Enforcing
R3 Agent spend limitsEU AI Act Art. 14 · J. Marsh Enforcing
R4 Incident reporting windowDORA Art. 19 · D. Cohen Enforcing
R5 Marketing claim substantiationStandard §7.4 · D. Levy Enforcing
R6 Data residency on exportGroup §9.1 · A. Ruiz Enforcing
R7 Vendor offboarding evidenceGroup §3.9 · S. Okafor Enforcing
R8 Model change attestationISO 42001 §8.3 · J. Marsh Draft
R9 Incident post-mortem filingDORA Art. 20 · D. Cohen Enforcing
R10 Sub-processor disclosureGroup §9.4 · A. Ruiz Draft
R2 Purchase approval threshold One obligation, compiled into a live rule OBL-3.4-b enforcing

Purchases above €5,000 require approval.

Came from Group Third-Party Risk Policy v7uploaded source · 84 pages · read by run #64 on 14 Aug
Demanded by 4 regulations ask for this same thingDORA Art. 19 is the strictest — that is the one enforced
Theme Access Controlseverity high · no conflict open
Used 240 decisions · last one 4:55 PM todayprocurement, finance and 3 agents rely on it
Owned by N. Patelreviewed 14 Aug · enforcing, promoted from draft
And rules arrive the other way too An agent may not raise its own spend or authorization limits. N. Patel held a €12,400 purchase order at 4:55 PM and chose "always".
1,284 rules · none hand-drafted · 11 frameworks mappedIllustrative
ActorRiskVerdict
C Contractor · humanBulk record export · 100,000 rows Blocked
P Procurement agentPO €12,400 Held
M Marketing agentCampaign claim Held
S Support agentCustomer record lookup Masked
E Engineering agentContract store access Denied
D Desktop · humanDelete 42 files Blocked
H HR agentCandidate data export Masked
F Finance agentLedger reconciliation Watched
A Analytics agentWarehouse read Allowed
B Billing agentInvoice batch · €4,100 Allowed
RT Marketing agent Checked against the rule before it happens OBL-7.4-c held · 4:55 pm
Action Publish “48 hours, guaranteed.” to the campaign queueasked for by D. Levy · drafted by the agent · 4:55 PM
Rule Performance claims must be substantiatedOBL-7.4-c · Marketing standard §7.4 · enforcing
Found No substantiation on filenothing in the evidence store supports “guaranteed”
Waiting on D. Levyapprove it with evidence, or the claim comes out
412 checked today · 3 never landedIllustrative

The service catalogue

  • Regulatory Response
  • Regulatory Horizon
  • Policy Lifecycle Assurance
  • Vendor Onboarding
  • ITSCM & SaaS DR Testing
  • your own

Rollout

Live in four weeks

One real service, on real events, with a named owner. You give read-only access; you get a running service and the register it writes. Your VPC, PaaS or SaaS — nothing leaves your tenant.

Week 1

Connect

Read-only access to your policy store and your systems of record.

Week 2

Build the playbook

Your policies become rules, with sources, thresholds and named owners.

Week 3

It runs

The service runs on real events. Outcomes reach the owners who decide.

Week 4

Tune and hand over

Owners shape their own view. The playbook is yours from here.

FAQ

Questions leaders ask

What Tredy is, what it does not replace, how a service is chosen, and what an owner actually approves.

Tredy works with GRC and other systems of record. Those systems structure obligations, controls and records; Tredy runs the assurance work triggered by change, and writes approved outcomes back with their evidence and decision trace.

AI governance can be one assurance service on Tredy, but it does not define the platform. Tredy supports recurring risk work across third parties, technology, controls, resilience, regulatory change and operations — using the same governed runtime.

No. Experts define the service, the decision boundaries and what counts as acceptable evidence. Tredy completes the repeatable work within that authority, and brings owners in when accountable judgement is required.

The platform evaluates the event against your context, applicability rules, ownership and encoded expertise. It can activate one service, coordinate several, or determine that no action is required.

The owner receives material exceptions, interpretation choices, delegated decisions and final approvals — not every routine task. They stay informed throughout while the service completes the work it is authorised to do.

Start with one recurring class of assurance work. Define its triggers, evidence, decision gates, owners and output; connect the minimum context it needs; then expand the same runtime to adjacent services.

Approved interpretations, evidence patterns, decision boundaries and outcomes become reusable company practice. The next run starts with more context and a clearer precedent, while the owner keeps their authority.

Still have a question? Ask us directly.

Start with one service.

A 30-minute scoping session with your risk owner and your IT contact. We leave with the first service named, the connections listed, and a date.