Artificial intelligence is no longer a distant concept for accountants, finance teams or business owners. It has arrived – not quietly, but with a pace and scale that is reshaping how work gets done, how clients expect to interact with their advisers, and how firms must think about risk, governance and operational resilience.
In a recent webinar featuring leaders from accountancy, finance transformation, AI engineering and cybersecurity, one theme stood out clearly: AI is here, but confidence in AI is not yet universal. And that confidence depends on secure foundations.
The recording of the webinar can be found here.
At the centre of the discussion was Stuart Black, Managing Director of ERGOS, whose perspective on secure AI governance naturally connected every other viewpoint shared throughout the session. His message was simple, but powerful: the future of accountancy operations isn’t just AI‑powered – it’s AI‑powered and securely governed.
AI Adoption Is Rising – But So Are the Risks
Stuart opened with a reality many firms are already experiencing. Employees are using AI tools – ChatGPT, Copilot, Gemini, Claude – often without formal approval. Not maliciously, but because they’re trying to work faster, solve problems and keep up with rising expectations.
“The question is no longer should we allow AI. The real question is how do we allow AI safely while keeping company and client data secure.”
This shift has forced ERGOS to evolve from a traditional MSP into a Managed Security Services Provider (MSSP), because the perimeter has changed. The risks have changed. And the governance required has changed.
Stuart explained that cybersecurity is no longer about protecting networks and endpoints. It’s about protecting identities, controlling consent, defending users online, monitoring behaviour, enforcing policy and governing data. And this is where the conversation began to align with the experiences of the other speakers.
Clients Want Real‑Time Data – and They Want It Now
Piotr Witek, Managing Partner at Moore Poland, described a profession undergoing a mindset shift. Electronic invoicing has transformed expectations in Poland – paper is gone, data flows instantly, and clients expect accountants to keep pace.
“Clients are demanding more accurate, more real‑time data… the sooner you give the data, the better decisions they can take.”
Piotr emphasised that accountants don’t need to become IT specialists, but they do need a new mindset. One where AI becomes a natural extension of the profession. He warned against trying to “bolt AI onto old systems”, arguing instead for a fresh approach that embraces automation, real‑time workflows and AI‑driven processes.
But this mindset only works if firms can trust the systems they rely on – bringing us straight back to Stuart’s point: trust requires governance.
AI Makes Transformation Accessible – But Only With Strong Foundations
Simon Speirs, Finance Transformation Director at ActiveCare Group, offered a historical lens. A decade ago, automation required huge budgets, offshore teams and rigid processes. Only large enterprises could afford it.
Today, AI has democratised transformation.
“AI can be deployed in much smaller use cases… making it accessible to mid‑size and SME organisations.”
Simon explained how early robotic process automation (RPA) was powerful but expensive, requiring structured data and large teams to maintain. AI changes that. It can learn processes, interpret unstructured data and scale without the heavy infrastructure that RPA demanded.
But Simon also highlighted the danger: many organisations are still immature in their data foundations. Without strong governance, AI becomes risky rather than empowering.
This mirrors Stuart’s warning: AI doesn’t create a permissions problem – it exposes the one you already have.
Start Small, Build Big – But Govern Always
Rhys John, Partner at Open Reply, cut through the hype with refreshing clarity. He has spent the last few years helping organisations adopt AI safely and effectively, and his message was grounded in practical experience.
“AI is extremely useful… but the reality of bringing systems in that promote meaningful change is harder than the marketing suggests.”
Rhys sees organisations overwhelmed by the scale of AI. They want the benefits, but fear the risks. They want innovation, but worry about compliance. They want automation, but don’t know where to start.
His advice was simple: start small. Build literacy. Introduce assistant‑level tools. Learn how AI behaves. Understand the risks. Then scale.
And again, this aligns perfectly with Stuart’s six‑pillar model, because starting small only works when governance is in place from day one.
AI Native Accounting: From Passive to Active
Dominik Laskowski, CEO of Automee, brought the future into sharp focus. He described how generative AI is already transforming accounting from a passive, historical process into an active, real‑time service.
“In real time, when the document enters your workflow, everything is done in the same second… you can show profit and loss live.”
This is the destination. Real‑time P&L. Real‑time VAT. Real‑time advisory.
Dominik explained how countries like Poland and Italy are already operating electronic invoicing systems that allow real‑time financial visibility. The UK may be slower to adopt this model, but the direction of travel is clear: accounting is becoming instantaneous.
But Dominik also highlighted the risk: as AI becomes more capable, the profession must evolve. Manual tasks will be automated. The value shifts to advisory, interpretation, forecasting and strategic guidance.
And none of this works without secure foundations – identity, consent, defence, visibility, policy and governance – the pillars Stuart outlined.
The ERGOS Secure AI Governance Model: The Foundation for Safe Adoption
Across all five perspectives, one thread connected everything:
AI creates opportunity. Governance creates confidence.
Stuart’s six pillars form the backbone of safe AI adoption:
The Six Pillars of Secure AI Governance
- IDENTITY – The user is the new perimeter. Conditional access becomes essential.
- CONSENT – Employees must not unknowingly grant AI tools access to sensitive data.
- DEFENCE – DNS‑layer protection stops malicious AI tools before they reach the endpoint.
- VISIBILITY – SIEM monitoring ensures firms can see what’s happening across identities and devices.
- POLICY – Clear rules on what data can and cannot be entered into AI tools.
- GOVERNANCE – SharePoint, access control, data classification and permissions must be correct before AI is deployed.
This model doesn’t slow innovation – it enables it. It gives firms the confidence to adopt AI without fear. It ensures that accountants, finance teams and business owners can embrace the future safely.
The Future Is Not About Stopping AI. It’s About Securing It.
Every speaker agreed: AI is here. It’s accelerating. It’s reshaping expectations. And it’s opening doors that were previously closed to smaller firms.
But the profession must evolve with it.
- Piotr sees clients demanding real‑time data.
- Simon sees transformation becoming accessible to SMEs.
- Rhys sees organisations needing literacy before scale.
- Dominik sees accounting shifting to active, real‑time advisory.
- And Stuart sees the foundation that makes all of this possible: secure AI governance.
The future of accountancy operations isn’t just AI‑powered… it’s AI‑powered and securely governed.
And that’s where ERGOS stands – helping firms embrace AI with confidence, not fear. Speak with us to understand more.
FREQUENTLY ASKED QUESTIONS
Why is secure AI governance so important for accountancy firms?
Because AI exposes existing risks. If permissions, access controls or data governance are weak, AI makes those weaknesses visible – and potentially dangerous. Governance ensures firms can adopt AI confidently without compromising client data.
Are clients really expecting real‑time accounting data?
Increasingly, yes. As electronic invoicing and digital workflows become standard across Europe, clients expect instant clarity. Real‑time P&L and VAT are becoming competitive differentiators.
Does AI replace accountants?
No – it replaces repetitive tasks. The accountant’s role shifts toward advisory, interpretation, forecasting and strategic guidance. AI handles the admin; humans deliver the value.
How can smaller firms adopt AI without huge budgets?
Start small. Tools like Microsoft Copilot, automated transcription, and AI‑assisted workflows offer immediate value without major investment. Governance ensures safe adoption from day one.
What are the biggest risks of “bring your own AI
Employees may unknowingly:
- enter sensitive data into public AI tools
- grant dangerous permissions to third‑party apps
- expose confidential information
- bypass existing security controls
This is why identity, consent and policy are critical pillars.
What should firms do before rolling out AI at scale?
Stuart’s advice is clear:
- audit SharePoint permissions
- classify sensitive data
- enforce conditional access
- deploy DNS‑layer defence
- implement SIEM monitoring
- publish a clear AI policy
AI adoption should sit on a secure foundation, not on hope.
What’s the first step for firms wanting to begin their AI journey?
Introduce assistant‑level tools (Copilot, transcription, summarisation) and build literacy. Then expand into automation and real‑time workflows once governance is in place.