Top priorities for Corporate Affairs teams in an AI era
Updated: 3 days ago
Few corporate functions stand to gain more from AI than Corporate Affairs and Communications, where the potential for speed, scale, and insight is enormous.
Yet while AI is entering workflows at pace, the latest research shows the structures needed to use AI safely, strategically, and to unlock real value are not. As adoption accelerates, governance is lagging, operating models are underdeveloped, and new risks are emerging.
Against this backdrop, four priorities are essential for Corporate Affairs and Communications functions to succeed in contemporary settings.
1. Get your house in order
Build disciplined AI governance systems
Record‑keeping protocols (e.g. prompt logging) to create audit trails of inputs, outputs, human edits, approvals, and decision‑making.
Version control for AI‑generated content.
Accountability guardrails, including clear ownership of AI‑assisted communications and structured approval workflows.
Policies covering misinformation detection, search visibility, brand safety, and intellectual capital protection (proprietary information, ownership of AI‑generated content, disclosure through prompts).
Defined AI integration points: automate (AI end‑to‑end), augment (AI assists, human leads), human‑only (no AI involvement).
2. Stop messing around with disconnected tools
Operationalise AI across communications workflows
AI baked into actual workflows. Integrating tools into compliant, connected systems (enterprise‑grade, secure, auditable), avoiding 'shadow' standalone or ad hoc apps.
Automated monitoring for misinformation and sentiment.
Predictive risk modelling.
AI‑supported stakeholder mapping and engagement workflows.
3. Let AI do the boring, transactional stuff
Leverage AI to shift human effort to high-value strategic work
First‑draft content creation (AI‑assisted drafting with human review).
Message testing.
Monitoring.
Competitor intelligence.
Summarisation.
Routine reporting.
Free humans up to focus on thinking, advising, strategising and influencing:
Reputation and trust strategies.
Collaborative leadership.
Executive support.
Stakeholder engagement.
Issues and risk management.
Crisis preparedness.
Training and development: prompt engineering, AI literacy (bias, hallucinations, limitations), verification techniques, data interpretation, ethical decision‑making, workflow design).
4. Make AI part of the team
Embed AI into culture
AI viewed as a teammate, not a threat – transparency builds trust.
Human accountability, review, and validation of AI outcomes.
Encouraged experimentation within guardrails.
Governance as a non‑negotiable foundation.
It is vital that Corporate Affairs and Communications functions avoid anthropomorphising AI. AI can unlock meaningful time for strategic work, but only when teams redesign workflows, roles, and governance structures to support its use. Upskilling is essential: leading communications teams are investing heavily in AI literacy, verification skills, and workflow redesign to ensure AI is applied safely, effectively, and with clear human accountability.
What the research says
The AI Communications Governance Benchmark (Arctera, 2026) finds that 71% of organisations already use AI in regulated communications workflows and 78% expect AI‑related communications risks to increase, but only 19% have the records needed to reconstruct AI‑assisted communications (e.g. prompts, drafts, edits). It highlights a ‘black box’ problem where AI‑generated or AI‑edited content can lack traceability, making investigations, audits, and regulatory responses difficult.
Corporate Comms is Playing Catch Up on AI. A Few Leaders Are Showing the Way (BCG, 2026) finds productivity gains of up to 36% at the task level and up to 47% at the process level, but 68% of chief communications officers describe their function as an AI laggard.
Corporate Communications: An International Journal (Suffolk University, 2026) identifies new roles for senior communicators: ethical guardians (ensuring responsible AI use), relationship champions (maintaining human trust in AI‑mediated environments), trainers (upskilling teams on AI literacy), and strategic advisors (guiding AI integration into corporate strategy).
Governing the Algorithm: A Conceptual Review of Strategic AI Oversight in Global Corporations (University of Leicester, 2026), highlights the emerging AI governance gap, the need for unified compliance structures and the importance of adaptive governance frameworks that reconcile technological power with legal accountability.
Reimagining Corporate Governance in the AI Era (Cambridge University, 2026) finds AI increases risks around opacity, automation bias, and diminished human oversight, with influence on decision‑making and disclosure practices. It also finds that AI‑mediated communication creates a transparency paradox: more data, but less clarity about how decisions were made.
The Global Corporate Affairs and Communications Survey (Global Communications Search Partnership, 2025) finds there is a gap between AI ambition and execution, with 94% expecting impact but only 11% with integrated AI.
The Global Corporate Affairs Survey (Oxford University, 2026) finds AI risk has increased from 17% in 2025 to 44% in 2026, overtaking macroeconomic concerns, with innovation, digitalisation and AI considered the biggest short-term opportunity (71%). It emphasises that a modern Corporate Affairs team must integrate risk, reputation, policy, and digital intelligence capabilities, with roles including issues and risk leads, and digital intelligence/AI analysts.
The Road to 2030 (Deloitte, 2026) finds only 24% of organisations have a formal AI strategy, signalling a major capability gap. It emphasises models with roles including AI operations leads, AI agents integration managers, data and insights analysts, reputation and risk strategists, and geopolitical intelligence leads blending human judgement with AI-enabled production and monitoring.
The State of Australian Corporate Affairs report (2025, Medianet) finds AI is widely used (77%) but mistrusted due to accuracy concerns.
