Use AI at scale. Keep control of every interaction.
norse3 provides an independent control and oversight layer around AI and customer conversations — helping financial-services firms apply their own policies, identify designated risks, intervene where required and create reviewable evidence.
norse3 is not a regulator, compliance adviser or a replacement for your compliance function, and it is not FCA-approved or a guarantee of compliance.
A regulated interaction
IllustrativeHeimdall
norse3 surrounds and governs the interaction — it does not replace the firm's AI or core systems.
AI can transform financial services. The accountability stays with the firm.
Firms are increasingly using AI across the business. Governance has to keep pace with where it is being used.
The governance problem
AI capability
Firm accountability
norse3 is designed to put organisation-defined controls between the two.
Six ways to use AI and keep control.
Control customer-facing AI
Define what AI can answer automatically and what requires intervention.
Examples: potential financial advice, product information, customer support, complaints, sensitive information. norse3 does not itself determine whether regulated advice has legally occurred.
Protect sensitive information
Apply controls around the information entering and leaving AI systems.
Strengthen human oversight
Put people back into the decisions that matter.
Thresholds and actions are determined by the organisation's policies and implementation.
Monitor customer interactions
Move from small samples towards risk-led review with Lögberg.
Automated screening supports — it does not eliminate — manual QA.
Create reviewable evidence
For every flagged interaction, understand what happened next — connected to Heimdall.
Synthetic Heimdall record. Illustrative only.
Govern employee AI
Apply organisation-defined controls around how staff use approved AI systems.
Where is AI creating risk in your business?
Pick the closest need and we'll point you to the right part of norse3.
I want customers to use AI safely.
norse3 Vör
A governed AI chat widget that applies your policy in real time, escalates to people and captures evidence.
From policy to customer outcome.
Consumer Duty focuses firms on delivering and monitoring customer outcomes. norse3 can support monitoring and evidence processes — it does not itself demonstrate compliance.
Products & services
Could AI conversations cause customers to misunderstand the product or journey?
Price & value
Are AI-led journeys producing unexpected customer experiences that should be investigated?
Consumer understanding
Are customers receiving communications and explanations they can understand?
Consumer support
Is AI helping customers obtain appropriate support, or creating friction and poor outcomes?
norse3 can support monitoring and evidence processes. The firm remains responsible for determining its regulatory obligations and whether it is meeting them.
Support human judgement when vulnerability matters.
Firms may need systems and processes capable of identifying indicators that a customer may require additional support. norse3 surfaces potential indicators — it does not definitively determine whether someone is vulnerable.
Potential vulnerability indicators (synthetic)
Language used is "potential vulnerability indicator", never "vulnerable customer detected".
Your QA team cannot listen to everything. Lögberg can help determine what they should hear first.
Lögberg screens customer conversations against configured risk indicators and helps QA and compliance teams prioritise interactions for human review.
Call transcript
SyntheticAgent
Thanks for calling — how can I help today?
Customer · flagged
I'm calling about my payments. Things have been really difficult since I lost my husband recently.
Agent
I'm very sorry to hear that. Let's look at your account together.
norse3 uses "potential vulnerability indicator" language. Automated screening supports — it does not replace — manual QA.
Management information
Synthetic demonstration data48,210
Interactions screened
1,340
Requiring review
212
Potential vulnerability
168
Advice-boundary flags
1,205
Review outcomes logged
97
Escalations
Recurring themes
When AI starts acting, controls need to act first.
There is a difference between AI that answers and AI that acts. Before a designated action, norse3 evaluates it against your policy.
AI that answers
Responds with information.
AI that acts
Takes an action with real effect.
Synthetic example: an AI agent proposes sending a customer communication. Before it acts, Aegis checks:
Outcome
Controlled
Held for human authorisation before it can proceed.
norse3 is not approved to autonomously execute regulated financial decisions. High-impact actions are held for authorised people.
Built for the regulatory reality firms already operate within.
The FCA's current approach to AI uses existing regulatory frameworks rather than a standalone AI rulebook. Select a theme to see the operational question, a possible norse3 control and the evidence it creates.
Regulatory theme
Consumer Duty
Operational question
How do we identify recurring risks across AI-led customer conversations?
Possible norse3 control
Screen configured interaction types, surface designated risk indicators and provide reviewable incidents and management information.
Evidence
Interactions, risk categories, actions, reviews, outcomes and trends.
Using norse3 does not satisfy any regulatory requirement. Firms remain responsible for determining their obligations and whether they are meeting them. Authoritative sources:
Map your AI control environment.
Answer a few questions to see your current AI journey alongside an illustrative norse3 control journey. This is an illustrative architecture, not a compliance assessment.
Tuned to your corner of financial services.
Banking
Not every use case carries identical regulatory requirements. Controls are configured to your firm's policy and obligations.
Turn AI activity into management information.
How operational interaction data could support governance and oversight. This is a Governance & Outcomes Dashboard, not a regulatory report.
Governance & Outcomes Dashboard
Synthetic demonstration data
9
AI systems monitored
48,210
Interactions
1,190
Policy triggers
97
Human escalations
18
Repeated incidents
91%
Resolved
What changed?
- Sensitive-information blocks trending down after policy update
- Employee-AI flags concentrated in two teams
- Customer-outcome indicators stable month-on-month
Shows how operational interaction data could support governance and oversight. The firm determines its own obligations.
Fit the control layer around your environment.
Data residency, retention, access, integrations, policy ownership and review permissions are configured to client requirements and technical discovery.
Private cloud
Deployed within your own cloud tenancy for tighter data-residency control.
Runs inside your tenancy so data residency and network boundaries stay under your control.
Specific security classifications, network architecture, accreditation requirements and data-handling controls require technical assessment. Deployment requirements differ according to the sensitivity of the environment.
Built for organisations where evidence matters.
Showing only what is verified today.
ISO 9001
Quality management — certified.
ISO 42001
AI management system — certified.
SOC 2
Roadmap / readiness work in progress — not yet certified.
Policy controls
Configurable, versioned organisation-defined policies.
Human oversight
Escalation and final decisions stay with your people.
Reviewable records
Evidence for each handled interaction.
Configurable retention
Retention windows configured to your policy.
Configurable access & tenant separation
Role-based access; tenants not commingled by default.
Deployment flexibility
Hosted, private cloud or customer-controlled.
Request a Financial Services Walkthrough.
Tell us about your firm and where you'd like more control, and we'll show norse3 against a realistic financial-services scenario.
- Where control could sit around your AI and conversations
- How policy, oversight and evidence apply to your journeys
- How Lögberg could prioritise interactions for your QA team
AI will change financial services. Accountability does not disappear with it.
Firms should not have to choose between adopting AI and maintaining control.