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ONE3.ai

Governance & Risk · App 11

Govern the business from inside it, with evidence as a by-product

Contracts that create work, consent that is enforced everywhere, and controls that collect their own evidence, with Digital Employees preparing and people deciding. Planned for W3 onwards.

Planned · Year 2 (W3)13 modulesYear 1: Later
One system of record for an organisation's obligations, permissions and evidence, run on the same data as the business it governs, with AI Digital Employees doing the routine legal and compliance work under human control. Most companies govern their business from outside it: contracts in a CLM, consent in a privacy tool, controls in a GRC tool, statutory calendars in spreadsheets and evidence in mail and shared drives. One3 already holds the operational records, so this app turns that shared data into governed obligations, permissions and proof.

Five design rules

  1. Contracts create obligations; obligations create work. A signed contract is designed to feed renewal dates to Finance, SLAs to Service Desk, deliverables to Projects and controls to GRC as governed Actions, not just reminders.
  2. Consent gates every use of personal data. One consent ledger is checked before every send, render, profile, agent memory write and export in every app. This app never writes consent records itself; it calls the platform consent Actions, so there is exactly one consent ledger in the tenant.
  3. Evidence is a by-product of work. Controls, audits and findings read the platform event log and the Trust & Audit evidence store instead of screenshots.
  4. Findings become fixes. A failed control or overdue obligation creates a remediation Action in the owning app, such as revoking access, updating a vendor or pausing a campaign, with approval and audit.
  5. AI does the preparation, people decide. Legal conclusions are advisory and cited. Lawyers, DPOs, auditors and risk owners approve.

Thirteen modules

  • W3: Contracts (CLM) and Consent Management (core), Privacy Ops and Policy-as-Code.
  • W4: GRC, Enterprise Risk, Internal Audit (delivery proposed for W5), KYC/KYB, Fraud & Risk Scoring, Whistleblower & Ethics, Records Management, and AI Assurance & Model Risk.
  • W5: eDiscovery & Legal Hold.

The modules share one evidence store. Contracts pass DPA terms to Privacy Ops and obligations to GRC; compliance risks roll up to Enterprise Risk; the risk register shapes the audit universe; audit findings land on GRC controls; KYC signals feed fraud scoring; ethics themes feed risk; and legal holds block records disposition.

Deterministic where the law is computed

Consent checks, notice and renewal date arithmetic, request and breach clocks, retention computation, hold checks, disposition eligibility, KYC rule outcomes, fraud rule scores and policy evaluation are deterministic engines. AI may draft inputs, explain results or extract data that a person confirms. It never decides whether consent exists, whether a hold applies or whether a record can be destroyed. There are no automated adverse decisions on people: KYC rejection of individuals, fraud blocks on individuals and ethics outcomes are human decisions.

Where it fits

The app runs on the platform's Trust & Audit, Admin & Policy, Approvals and Fact Register, and works with CRM, People, Finance, Office (Mail, Chats, Drive, Sign) and the AI Workforce. Restricted data such as ethics cases, KYC documents and held collections is routed only to in-region models.

Regulatory pointers

DPDP, POSH, vigil mechanism, KYC periodicity, e-stamping, retention statutes and framework licensing are recorded in the Fact Register and must be verified with counsel. Nothing on this page is legal advice.

Problems solved

What Legal, Risk & Compliance fixes

We don't know what we have signed or when it renews

Executed contracts are scattered across mail, drives and signing tools. Bulk import with AI metadata extraction, a searchable repository and renewal and notice-date tracking with owners address this.

Sales and procurement wait days for legal

Template drafting with conditional logic, playbook review with pre-approved fallbacks and approval routing by risk let low-risk paper move without a lawyer touching every draft.

We can't prove consent or honour withdrawal everywhere

One consent ledger per person and purpose, with notice versions, and withdrawal propagated to every subscribed app and agent.

DPDP requests and breaches are handled by email

A data inventory seeded from the shared data model, DPIA templates, a clocked data-principal request workflow and a breach workflow with decision records.

Audit season is a screenshot hunt

Controls mapped to platform events and connectors, continuous tests and an auditor workspace with evidence collected as work happens.

The risk register is a spreadsheet nobody updates

KRIs computed from platform metrics, treatments tracked as work and appetite breaches alerting owners.

We find fraud after the money has left

Explainable fraud scores on platform events, case management, blocklists and holds before high-risk Actions execute.

Litigation holds miss chats and AI agents

Holds across Mail, Chats, Drive and agent memory, with collections and review sets (W5).

Key capabilities

What you can do

Contracts that create work

Obligations from signed contracts become billing schedules, SLAs, deliverables and controls in the apps that execute them.

One consent ledger, enforced

The Action Bus checks consent before personal-data Actions and fails closed; withdrawal propagates to every app and agent.

Clocked privacy operations

Data-principal requests, DPIAs and breaches run as evidenced workflows with statutory clocks (to be verified).

Policy enforced as code

Versioned, tested policy bundles with blast-radius replay, shadow mode and a decision log.

Continuous control monitoring

Evidence collected from One3's own apps and connectors, with failed tests turning into remediation Actions.

Live risk register

Risks tied to objectives and appetite, with KRIs bound to platform metrics and board-ready heatmaps.

Verification through licensed providers

KYC and KYB checks run from the record that needs them, with results stored on the shared party.

Safe ethics reporting

Anonymous multi-channel intake including WhatsApp and voice, conflict-aware triage and anti-retaliation monitoring.

AI governed like any other risk

Inventory, validation packs, bias tests and attestations for models and Digital Employees, including One3's own.

Modules

13 modules, one data model

Core modules come with the app. Add-ons switch on when you need them. Some modules can be bought on their own.

Workflows

How the work flows

End-to-end workflows inside the app and across One3.

Contract request to executed obligations

From a request on a deal or vendor record to obligations running in the owning apps.

  1. 1.A contract is requested from a CRM deal, quote, PO, vendor, offer or portal
  2. 2.A first draft is assembled from an approved template, or counterparty paper is ingested
  3. 3.AI extracts key terms with source spans and reviews clauses against the playbook (advisory)
  4. 4.Counsel accepts or rejects suggestions and redlines are sent only with lawyer approval
  5. 5.Approval routing applies DoA, deviations and counterparty risk
  6. + 2 more steps →

Consent withdrawal everywhere

A person withdraws consent once and every dependent use stops.

  1. 1.The person withdraws via preference centre, message link, WhatsApp keyword, voice or a staff-recorded request
  2. 2.Clear keyword withdrawals are applied immediately; ambiguous text becomes a proposal for staff
  3. 3.The withdrawal is written to the platform consent ledger
  4. 4.The withdrawn event propagates to Marketing, CRM, Service Desk, agents and voice
  5. 5.Queued sends are cancelled and confirmations recorded
  6. + 1 more steps →

Data-principal request

Access, correction or erasure requests fulfilled with evidence within configured clocks.

  1. 1.A request arrives by portal, email, WhatsApp, ticket or API and is triaged
  2. 2.Identity is verified by OTP, documents or representative evidence
  3. 3.Discovery resolves the person across records, files, messages, vectors and agent memory
  4. 4.An access report is prepared with third-party data redacted, or an erasure plan lists delete, pseudonymise or retain-with-reason per location
  5. 5.Blockers such as statutory retention and legal holds are checked
  6. + 2 more steps →

Failed control to remediation

A control test fails and the fix happens in the system that can make it.

  1. 1.Evidence is collected on schedule from platform logs and connectors
  2. 2.A deterministic test records a failure and an issue is created
  3. 3.A remediation is proposed as an Action in the owning app, such as revoking a leaver's access
  4. 4.The owning app's approver executes it at its own risk tier
  5. 5.The control is retested and evidence attached

AI inside

AI skills that act through governed Actions

Every AI skill runs through the same typed Actions people use, with risk tiers, approvals and an audit trail.

Clause and key-term extraction A1 → A3

Extracts parties, dates, value, renewal, notice, liability cap and other terms, each linked to the source span; low-confidence values need human confirmation.

Playbook review A2

Flags deviations and missing clauses with suggested fallbacks, every flag citing clause text. Advisory only; lawyers decide.

Withdrawal intent detection A1 → A3

Spots withdrawal intent in free-text emails and WhatsApp messages and proposes it to staff.

Privacy request triage A1 → A3

Classifies request type, finds duplicates and missing identity information.

Plain language to policy rules A2

Drafts rules and test cases from a policy paragraph with a mapping to each source sentence.

Continuous control monitoring A1 → A3

Collects evidence on schedule, runs deterministic tests and raises issues.

Security questionnaire answers A2

Drafts answers from approved knowledge and evidence with citations for reviewer approval.

Workpaper and finding drafts A2

Drafts audit narratives citing evidence ids; auditors edit and sign.

Record classification A1 → A4 (labels only)

Suggests record classes for files, messages and agent memory within confidence thresholds; disposition stays human.

Relevance and privilege suggestions Suggestion only

Explains suggested relevance and privilege in review sets; reviewers decide (W5).

Integrations

Connects with the tools you already use

  • One3 Sign
  • Aadhaar eSign / DSC via licensed ESP
  • External eSignature providers
  • E-stamping partners
  • Microsoft Word add-in
  • Registered Consent Managers
  • WhatsApp Business Platform
  • SMS and voice (DLT)
  • KYC/KYB providers (PAN, GSTIN, bank, MCA, DigiLocker, CKYC)
  • AML, PEP and sanctions screening
  • Background verification partners
  • Cloud provider evidence
  • Identity provider evidence
  • Code host and CI evidence
  • Statutory compliance content partners
  • Google Workspace Vault
  • Microsoft 365 eDiscovery
  • Slack and Microsoft Teams
  • Ironclad, Docusign, Leegality (migration)
  • Vanta, OneTrust, MetricStream, Diligent (migration)

Connector availability depends on provider access and is verified before launch. How integrations work →

Security & compliance

Built to be trusted

Restricted data isolation

Ethics cases, raw KYC and held collections sit behind restrictive scope policies, are revoked from read-only roles and are processed only by in-region models.

Relationship-based access

Matter teams, contract teams, case access, engagement teams and auditor portal scopes decide who sees what, mirrored into database predicates.

Consent and holds never switch off

If a module subscription lapses, data becomes read-only and exportable, but consent enforcement and legal holds keep working.

Hash-chained evidence

Action logs, audit events, disposition certificates and chain-of-custody records are hash-chained and immutable.

Agents bounded by design

Agent skills are limited to owner permissions, entitlements and autonomy, and a fixed list of Actions can never be invoked by agents. R4 Actions always need a person with step-up.

Pointers, not legal advice

Regulatory content is tracked in the Fact Register with sources and verification dates; customers should verify with counsel.

Frequently asked questions

When will Legal, Risk & Compliance be available?

Contracts, Consent Management, Privacy Ops and Policy-as-Code are planned for W3 (Year 2). GRC, Enterprise Risk, KYC/KYB, Fraud, Whistleblower, Records and AI Assurance are planned for W4, with Internal Audit delivery proposed for W5. eDiscovery & Legal Hold is planned for W5.

Will the AI give legal advice?

No. Contract review, regulatory summaries and similar outputs are advisory, cite their sources and are approved by lawyers, DPOs, auditors or risk owners.

Does this help with DPDP?

The app is designed around consent, data-principal requests, DPIAs and breach workflows. DPDP obligations and timelines are tracked in the Fact Register and must be verified with counsel; this is not legal advice.

Will you replace our eSign or KYC provider?

No. One3 integrates licensed providers for Aadhaar eSign, e-stamping and verification checks rather than operating those rails.

Can an AI agent delete data or release a legal hold?

No. Erasure, disposition and hold release are R4 Actions approved by a person. AI never decides whether a hold applies or a record may be destroyed.

Do I need other One3 apps?

The app gets most of its value from data already in One3, such as CRM, People, Finance and Office. External CRM and procurement systems can connect through thin connectors.

Plan your Legal, Risk & Compliance rollout with us

Tell us about your team and the outcomes you want. We will walk you through the apps, the Digital Employees and the plan for your industry.