Safe.
Compliant.
Responsible AI.
PRIVINOTCH helps organisations adopt AI responsibly: assessing risk, building governance frameworks and assurance for the AI you already use, then designing, building and automating the AI you don't use yet, with the technical guardrails to back it up.
An extension of your team, not another vendor to manage.
We partner with organisations building and deploying AI to identify gaps in their privacy and AI governance frameworks, recommend practical mitigation strategies, and support operationalisation from the ground up, working alongside your Innovation, Engineering and Compliance teams rather than around them.
Every engagement is scoped to enhance the foundations you already have (your existing policies, security posture and QA practice) rather than bolt on a parallel structure you'll have to maintain twice.
- Governance maturity assessments & gap analysis
- Risk registers & AI-specific risk methodologies
- Regulatory cross-walks tailored to the jurisdictions you operate in
- Board-ready executive summaries & roadmaps
Global regulatory knowledge & compliance assurance
A deep understanding of regional AI and data privacy law lets you navigate complex, multi-jurisdiction regulatory landscapes with confidence.
Ethical & secure AI deployment
We go beyond compliance, helping you build AI systems that are legally sound, ethical, transparent and aligned with best-practice governance.
Proven expertise in high-value projects
We've delivered AI governance and data privacy solutions for multi-million-pound programmes, ensuring compliance at scale.
Responsible AI & Innovation Principles.
Seven commitments that shape how we advise clients on AI governance, and how we work ourselves.
Ethical Innovation
We encourage innovation that delivers long-term social and environmental value.
Responsibility
Responsibility for AI outcomes must be clear and measurable.
Privacy & Data Stewardship
We protect individuals' data rights by embedding privacy by design. Responsible innovation depends on responsible data.
Fairness & Non-Discrimination
AI should perform equitably across demographics and contexts. We actively identify and mitigate bias in data, design and decision-making to promote fairness and inclusion.
Human-Centred Design
AI systems must be designed to serve people, enhancing human capability, inclusion and wellbeing.
Safety & Reliability
AI systems must be robust, secure and thoroughly tested to prevent unintended harm.
Transparency & Explainability
We promote clarity in how AI systems function, how decisions are made, and what their limitations are.
Read our full Responsible AI Statement
How these principles translate into practice.
Nine regions, one governance approach.
From the UK to APAC, we pair local regulatory nuance with one consistent framework — no separate playbook per market.
How we help you operationalise Responsible AI.
Engagements are scoped and sequenced to your maturity, from hands-on technical delivery to board-level advisory, with an ongoing retainer for the teams who want us on call.
Where governance meets hands-on delivery.
Two ways we go beyond advisory: we build the technical safeguards ourselves, rather than only reviewing someone else's.
AI Guardrails & Agent Safety
Hands-on implementation of the safety controls that make AI agents and automations safe to run unsupervised. We build the controls ourselves, rather than only reviewing someone else's.
- Autonomy boundaries & permissioning
- Human-in-the-loop checkpoints
- Audit logging & full traceability
- Post-deployment drift & error monitoring
Responsible AI Automation
For organisations not yet using AI: we review your processes, agree which are genuinely worth automating, then prove it out before committing to full delivery.
Review
Map processes & where AI could help.
Prioritise
Score value against responsible AI risk.
Prove
Build a working PoC, guardrails included.
Develop
Move the validated PoC into full delivery.
Advisory & consultancy services.
From first strategy document to board sign-off, plus the assurance and contracting support that keeps you covered afterwards.
We help you define your Responsible AI strategy and roll it out in practice: a board-level plan for how AI will be developed, deployed and governed, aligned to your regulatory obligations, ethical commitments and commercial objectives.
- Responsible AI maturity assessment
- AI use-case & risk landscape mapping
- Strategy document, roadmap & roll-out support
We build a bespoke Responsible AI governance framework for your organisation: embedding the controls, oversight and accountability that support your regulatory requirements and standards alignment as you develop and deploy AI, strengthening your ability to win business and maintain reputational trust.
- Gap analysis & AI inventory
- Control mapping to applicable regulation
- Bespoke policy suite & control model
Embedded advisory support that integrates responsible AI principles, risk controls and regulatory requirements directly into system design and delivery, including structured AI risk, impact and ethical assessments across the system's lifecycle.
- AI Impact & ethical assessments
- Design & architecture review
- Risk & control integration during build
- Pre-deployment readiness validation
Independent assurance and audit-readiness reviews that validate the effectiveness, defensibility and regulatory alignment of your AI governance and controls, and of the AI solutions themselves, including vendor and third-party reviews carried out on your behalf.
- Governance & control review
- Solution-level testing & validation
- Vendor & third-party AI reviews
- Executive assurance report & remediation plan
Drafting, reviewing and negotiating your AI and SaaS contracts on your behalf: data processing terms, liability, IP and responsible AI obligations, so your commercial agreements hold to the same standard as your governance programme.
- Contract drafting & review
- Vendor & customer negotiation support
- Data processing & liability terms
Capability building to embed responsible AI understanding, accountability and decision-making across your organisation's functions.
- Role-based training pathways
- Leadership & board-level briefings
- Handover & self-management runbooks
Ongoing Responsible AI / Privacy Advisory
Outsourced Responsible AI and/or data protection oversight on a retained basis, acting as your DPO or Responsible AI Officer, with continuous regulatory horizon-scanning, use-case review and board reporting. Further detail on retainer scope is available on request.
Proof it works: ADVANCE®AI's APEX* system.
A healthcare AI product, assessed and governed before it reached regulated markets.
ADVANCE®AI is an AI product company developing APEX*, a healthcare sentiment-analysis system (Pharma's first sentiment index), used across regulated markets.
“The team at PRIVINOTCH are a friendly, thorough, and a valued resource in navigating AI governance for ADVANCE®AI.” — Albert Cambridge, Head of Security and Compliance
The challenge
- Ensure alignment with Responsible AI principles pre-deployment
- Identify ethical, bias, transparency & privacy risks early
- Validate regulatory exposure across relevant AI & data regulation
- Support product teams without delaying rollout
Our approach
- Performed an initial AI Impact Assessment
- Conducted a comprehensive AI risk & ethical assessment
- Mapped the AI lifecycle to governance checkpoints
- Assessed dataset provenance, bias & representativeness
- Delivered a mitigation plan through to production deployment
Outcomes & impact
The headline outcome: ADVANCE®AI can now sell APEX* into pharmaceutical companies operating in one of the most tightly regulated markets, with evidence its governance will hold up under scrutiny.
- Early identification of ethical & regulatory risks
- Clear risk treatment roadmap embedded in the development cycle
- Enhanced transparency documentation for clients
- Increased regulatory confidence ahead of product scaling
*APEX is ADVANCE®AI's product name.
What the work actually looks like.
Three illustrative samples.
AI compliance report, page by page
A high-level EU AI Act gap assessment summary, client identity and figures are illustrative. Full report includes mitigations.
Client Platform — AI Compliance Report
Org-Wide EU AI Act Gap Assessment Summary Report
Contents
01 · Overall Position
Two governance workstreams in progress: the EU AI Act Gap Assessment (42 obligations: 8 non-compliant, 5 partial, 11 intentionally unassessed) and the platform DPIA. The client's decision on the path forward (see 03) determines how the remaining obligations are assessed.
02 · EU AI Act Gap Assessment
- 2 Compliant
- 5 Partial
- 8 Non-compliant
- 16 Not applicable
- 11 Pending Annex III outcome
9 obligations rated High / Very High impact — prioritised ahead of the rest.
05 · Recommended Next Steps
- Confirm path forward: redesign vs. accept high-risk status
- Confirm how scores are used today, to evidence current state
- Close out the remaining Category A & G items
- Re-assess dependent obligations once the path forward is confirmed
An AI copilot with the guardrails built in, not bolted on
A simplified look at an AI-assisted expense and PO review tool — auto-clearing routine claims against policy, while a hard spend limit and an audit trail sit inside the workflow itself.
“Team offsite dinner, £180. Receipt attached, within per-diem limit.”
“Client entertainment, £640. Receipt attached, above the hard spend limit.”
“Software subscription renewal, £89. Pre-approved vendor on file.”
“Rail travel claim, £310. Itemised receipt missing from the submission.”
Hard limit: nothing over £500 clears without a human approver · 2 of 4 items routed to sign-off this batch · every decision, automatic or human, is logged to the audit trail.
Where AI safely takes the load off a manual process
A simplified impact model for a vendor / third-party risk due-diligence workflow, modelled on a 4-person compliance team with a fixed combined review capacity of 8,400 minutes a month in both scenarios: same team, same review standards, less time per case. Illustrative figures, not a specific client.
Intake request
35 minNew vendor submitted for onboarding & due diligence
Questionnaire & evidence review
90 minExtract answers from vendor documents, cross-check against policy
AI-assistedDraft risk score
60 minScore against your risk methodology and flag gaps for review
AI-assistedHuman review & sign-off
25 minAnalyst checks the evidence trail and approves, amends or escalates
Always human · never automatedThe PRIVINOTCH Circle
A private, invite-only community for people building and governing AI responsibly: practitioners, DPOs, and risk & compliance leads trading notes on what's actually working, hosted in a dedicated Slack workspace.
Questions we get asked a lot.
The practical ones people ask before they get in touch.
Do we need to comply with the EU AI Act if we’re not based in the EU?
Possibly, yes. Like UK and EU data protection law, the EU AI Act can apply extraterritorially, so if your AI system’s output is used in the EU, or you place it on the EU market, obligations can apply regardless of where your organisation is based. Whether, and how much, depends on the system’s risk classification and your role as provider or deployer. We help clients work out their actual exposure rather than assume the best or worst case.
We’re already using AI tools, is it too late to get this right?
No. Most of our engagements start after AI is already in use, not before. Retrofitting governance, including risk assessments, documentation, guardrails and an audit trail, is entirely possible once a system is live. It’s a different starting point, not a barrier. The real cost of waiting is accumulated risk, not a missed window.
Do you only work with companies already using AI, or can you help us decide whether to adopt it?
Both. If you haven’t adopted AI yet, we review your processes, agree what’s genuinely worth automating, and prove it out with the guardrails built in before you commit to full delivery. If you’re already using AI, we assess and govern what’s in place. Either way, nothing goes into production without the oversight to back it up.
Do you build AI systems, or only advise on them?
Both. Most of our work is advisory, covering governance frameworks, risk assessments, policy and board-level strategy, but where it adds value, we also build the technical safeguards ourselves: guardrails, permissioning, audit logging and monitoring for AI agents and automations, rather than only reviewing someone else’s build.
Is this only relevant for large enterprises, or does it apply to start-ups and SMEs too?
It applies at every size. Start-ups and SMEs face many of the same regulatory obligations as larger organisations as they scale, and getting the foundations right early is almost always cheaper than retrofitting them later under pressure. We scope engagements to match your size, maturity and risk, from a single health check to an ongoing retainer.
What happens after the initial health check or intro call?
We agree what actually needs addressing, whether that’s a governance gap analysis, a specific AI system or a retainer, and scope it to your maturity and risk profile, with a clear timeline and next steps. There’s no obligation from the initial call itself; it’s there to work out whether, and where, we can help.
Let's talk about it.
Book a free health check, enquire about our services, or reach out because you're bored and you need someone to talk to.
Book an intro callSee live availability, UK time, Monday to Friday, 9am to 5pm