AI Policy Writers
Artificial intelligence is no longer a niche tool confined to specialist departments. It is now embedded across the enterprise – from cybersecurity and customer service to strategic planning, marketing, and product development.
Yet while adoption is accelerating, governance is not keeping pace.
According to Darktrace’s State of AI Cybersecurity 2025 report, 95% of organisations are either discussing or planning AI safety policies, but only 45% have formalised them.
This statistic, though rooted in security, reflects a broader reality: across business functions, the gap between AI deployment and policy development remains dangerously wide.
The problem is particularly pronounced at both ends of the organisational spectrum. Smaller firms often lack the capacity to build in-house AI expertise, while larger enterprises face challenges of coordination across departments, legacy systems, and divergent risk appetites.
In both cases, the lack of clear AI usage frameworks leaves organisations exposed – not only to technical and legal risks, but also to reputational damage and internal misuse.
AI Is Everywhere – But Policies Aren’t
As tools like generative AI become commonplace for search, content creation, coding, and decision support, the need for structured guidance grows more urgent.
Without proper policies, employees may inadvertently share sensitive data with external models, rely on unverified outputs, or introduce bias and misinformation into decision-making processes.
Informal usage habits can quickly solidify into operational dependencies, complicating future oversight.
Despite strong consensus on the importance of governance – particularly around human oversight, transparency, and data protection – many organisations have yet to implement practical controls.
The reasons vary: some fear stifling innovation, others await more precise regulation, and many simply lack the resources to translate principles into workable internal standards.
AI Policy Before Scale
Meanwhile, the regulatory picture remains fragmented. Frameworks such as the EU’s AI Act and the US NIST AI Risk Management Framework are emerging but have yet to offer the clarity and global consistency required for wide-scale enterprise adoption.
These opaque frameworks leaves many businesses in limbo – keen to align with future compliance demands, but hesitant to commit to policies that might soon be outdated.
In this vacuum, competitive pressure to adopt AI quickly often trumps the case for deliberate, policy-led deployment.
But moving fast without governance can lead to fragmented systems, unclear accountability, and heightened operational risks.
The path forward is clear: if businesses are serious about leveraging AI safely and sustainably, they must prioritise governance now.
Robust governance is prerequisite for responsible innovation, trust, and long-term value creation. This means establishing internal policies that set clear boundaries, expectations, and accountability for AI use across all functions – not just in IT or security.
How We Can Help with AI Policies
At Policy Pros, we’re already helping organisations get ahead of this challenge. Our team has developed bespoke AI usage policies for clients across sectors, from finance to healthcare and technology.
Whether you need policies for internal AI use, external vendor management, or compliance with emerging regulations, we offer practical, future-ready documentation tailored to your organisation’s strategic goals.
