Module A · Governed AI Workspace
The AI your people want.The control your firm needs.
One familiar workspace with approved models. Every request is checked against your policies before it reaches a model — and every decision is recorded.
One workspace for approved AI
OpenAI, Anthropic and Google models in one familiar interface, chosen by role — so people use AI productively, inside company-approved controls.
Policies and safeguards on every request
Organisational AI usage policies applied automatically; sensitive data masked or blocked, risky requests held for a person, and staff see why.
Auditable by default
Employee activity logged and every decision recorded, subject to the logging and retention your firm configures.
See it work
Try it.
An interactive demonstration with a fictional firm’s data.
Policy checks · AI Acceptable Use v14
Permitted · 5 of 5- Model access — Claude Sonnet 5.5 is approved for your role
- Company AI policy — Internal summarising is a permitted activity
- Sensitive information — No client data found
- FCA-linked controls — No advice, promotion or complaint decision
- Human approval — Not required for internal use
Three changes take effect from 1 November [1]:
- Acknowledge complaints within two working days.
- Senior handler review before final responses.
- Vulnerability flags recorded on every case.
Source [1] Complaints Handling Procedure v3.2 · section 4
Decision recorded to the audit trail · DEC-20481 Included in monitoring and compliance reports
- DEC-2048109:12ComplianceClaude Sonnet 5.5Allowed
- DEC-2049309:40Client ServicesGPT-5MaskedRule: Phone number
- DEC-2050210:05AdviceClaude Opus 5.5Held for approvalRule: Personal recommendation
- DEC-2051110:31Client ServicesGPT-5BlockedRule: NI number
- DEC-2051711:02InvestmentGPT-5Allowed
- DEC-2053211:47RiskClaude Opus 5.5Allowed
People pseudonymised. Reading content needs a recorded reason.
Capabilities
What it does today — and what is coming.
In the product today
- One workspace for approved models from OpenAI, Anthropic and Google, called server-side — staff never hold API keys
- Centralised user access and permissions: single sign-on with OpenID Connect, model access and data limits by role
- Organisational AI usage policies: versioned, acknowledged by staff, and applied to each request
- Sensitive-data safeguards: rule-based detection of client identifiers and your own patterns, with mask, warn, hold or block
- Human approval for high-risk requests, with four-eyes and escalation
- Employee activity logging and a searchable, hash-chained record of AI interactions — subject to configurable logging and retention
- Secure workspace administration: roles, permissions, models, policies and retention managed centrally
Planned
- SAML and SCIM provisioning
- A reviewed machine-learning classifier for names and free-text client details
- Email, Teams and Slack notifications for approvers
- OCR for scanned documents
FCA AI governance expectations
How it relates to the FCA’s October 2026 publication.
The FCA’s AI in financial services: good practice and areas for improvement (19 October 2026) shares examples from industry. In its own words: “They do not create new requirements.” There is no standalone FCA AI rulebook; existing rules apply.
Below, each example it describes, and how this module supports a firm’s own approach.
Using approved source material and guardrails to reduce hallucinations, with checks and escalation routes
Dutira: Answers can be limited to approved company documents with citations; requests that need a person are held and routed.
Maintaining auditable records of prompts, outputs, model versions, filters applied and escalation decisions
Dutira: Each decision records the rules applied, the model, the outcome and any approval, in a hash-chained log.
Logging and audit trails of AI interactions to monitor outcomes and deal with complaints
Dutira: Decision log and audit trail, searchable by authorised roles; content access needs a recorded reason.
Human-in-the-loop as a risk-based control, with clear thresholds for intervention
Dutira: Rules decide which activities are allowed, warned, held for approval or blocked, by role and model.
The rules behind it
Existing rules continue to apply when firms use AI. Which apply depends on each firm’s permissions and business.
- SYSC 4.1 General organisational requirements Rule
- SYSC 9.1 Record-keeping Rule
- COCON Code of Conduct Rule
- UK GDPR Legislation
- ICO: AI and data protection Guidance
- Rule Binding on the firms it applies to
- Guidance How the FCA expects rules to be met
- Good practice Illustrative examples; no new requirements
Your responsibility. Your firm decides its AI policy, which models and activities are allowed, and who approves. Dutira applies and records those decisions; it does not decide them. Dutira is not approved or endorsed by the FCA and does not guarantee regulatory compliance.
One platform, launched in phases
- Phase 1 · available nowAI Policy & AttestationTurn written AI requirements into practical safeguards, workflows and staff acknowledgements.Explore
- Phase 1 · available nowAI Monitoring & ControlsUnderstand how AI is used and identify potential policy risks.Explore
- Phase 1 · available nowSenior Management OversightGive decision-makers the visibility and evidence needed for responsible AI adoption.Explore
- Phase 1 · available nowFCA AI Governance CheckerIdentify potential gaps in your AI governance framework against relevant FCA regulatory expectations — free.Explore
- Phase 3 · plannedAI Lifecycle GovernancePlanned: inventory, registration, risk classification, assessment, approval and review for every AI use case.Explore
- Phase 4 · plannedAI Agent GovernancePlanned: registration, identities, permissions, action authorisation, human approval and limits for autonomous AI agents.Explore
See it with your own policies.
A 30-minute walkthrough, tailored to your firm.