Govern your AIbefore it becomes a risk.
AI is becoming embedded across financial services. We help firms find where it is being used, assess the risks and governance gaps, and put practical controls in place.
ISO/IEC 42001•EU AI Act•DORA•NIS2•FCA expectations
AI is moving faster than governance.
You can have AI risk without ever deploying an “AI system”.
Employees are already using it.
Unrecorded. Unapproved. Often handling client or transaction information.
Your suppliers are adding it.
AI appears inside onboarding, screening and platform tools you bought before it existed.
Nobody clearly owns the use case.
Technology, operations, risk and compliance each hold part of the picture.
Someone eventually asks.
Clients, banking partners, auditors, investors or regulators want proof.
The problem isn’t that your organisation uses AI. It’s not knowing where it is, what risks it creates, or whether it’s governed.
AI is becoming embedded across financial services.
Make sure you know where it is, what risks it creates and who owns it.
Can your leadership team answer these six questions?
If you can’t answer all six confidently, you may have an AI governance gap.
From visibility to ongoing control.
Four stages. You can stop after any of them.
Free AI Governance Review
A practical conversation about how AI is being used, what governance exists and where concerns sit.
Get a Free AI Governance ReviewWhat we cover
- Where AI is currently being used
- What governance already exists
- Whether obvious gaps may exist
You getA useful conversation and a clear view of whether a deeper assessment makes sense.
AI Governance Assessment
A structured assessment of your AI estate, risks, governance and relevant requirements.
Discuss Your AI Governance AssessmentYou receive
- AI systems and use-case inventory
- AI risk assessment
- Governance gap findings
- Accountability and ownership findings
- Relevant compliance considerations
- ISO/IEC 42001 alignment review
- Prioritised remediation roadmap
- Executive summary for leadership
AI Governance Implementation
We turn the findings into a governance framework your organisation can actually operate.
Discuss Governance ImplementationWe can implement
- AI governance policies and standards
- AI approval and use-case intake processes
- AI risk methodology and registers
- Roles, accountability and decision rights
- Third-party and vendor AI controls
- Acceptable-use and adoption controls
- Documentation, registers and evidence
Ongoing AI Governance
AI changes constantly. Governance can’t be a one-time exercise.
Talk About Ongoing GovernanceSupport can include
- New AI use-case reviews
- AI inventory updates
- Risk reviews and vendor AI monitoring
- Governance support for leadership
- Policy updates
- Evidence and diligence support
You getGovernance that stays accurate as your AI estate evolves.
Governance first. Requirements where they apply.
The primary international AI management system reference.
Considered where your footprint and use cases bring it into scope.
For EU financial entities in scope, AI touches ICT risk management and third-party oversight.
Where your entity falls in scope, AI sits inside network and information security obligations.
No AI-specific rulebook. Existing rules on governance, oversight and operational resilience still apply.
What data reaches AI tools, on what basis, with what safeguards.
Telo does not provide legal advice, statutory audits or ISO certification. Which of these apply depends on your entities, activities and permissions. We identify what is relevant to your firm rather than assuming. Where specialist legal or independent certification advice is required, we will say so.
Built for financial businesses already using AI.
We usually work with the COO, CTO, Chief Risk Officer, Head of Compliance, MLRO or senior operations leaders.
Practical AI governance. Built around how businesses actually use AI.
We work with leadership teams to find the AI already in use, understand the risk it creates and put governance around it that people can actually follow.
- Real AI experience. Four-plus years selling and implementing AI automation and enterprise AI systems.
- Business-first. Governance designed around how organisations actually operate.
- Risk-based. Not every AI use case needs the same level of scrutiny.
- Independent. Objective assessment of gaps and priorities.
Common questions.
Is this a compliance audit?
No. It is a governance and risk assessment. It identifies gaps and priorities. It is not a statutory audit or a regulatory inspection.
Do you need access to our systems?
No. The work is interview and documentation based. We ask for existing policies, supplier information and any prior assessments. That also means findings reflect what your people and documents tell us, not a technical scan.
How long does an assessment take, and who needs to be involved?
Typically one to two weeks from kick-off to findings. Usually whoever owns technology, someone from operations, and whoever holds risk or compliance. Around six hours of your team’s time.
We already have ISO 27001. Does that cover AI governance?
Not fully. ISO 27001 covers information security. AI governance covers what the AI decides, who owns it, what data reaches it, whether a human reviews the outcome and which suppliers introduced it. Holding 27001 makes the work lighter.
Can you certify us to ISO/IEC 42001?
No. Certification is issued only by an accredited certification body. We assess alignment and identify gaps.
Does this make us compliant with the EU AI Act?
No assessment can guarantee compliance. We identify whether and how the Act may apply, where the gaps sit, and what would support readiness.
Start with a conversation.
30 minutes on how AI is being used across your organisation, where governance sits today and whether a deeper assessment makes sense.
30 minutes · No obligation