Cambridge
Academy
In London

AI is rapidly changing internal communications—enabling faster content production, consistent messaging, and better insights—while introducing risks around accuracy, privacy, tone, and brand trust. This practical program equips internal communications leads with AI-enabled workflows to produce high-quality content at scale, establish governance and controls, and maintain credibility through strong quality assurance.

Course Objectives

By the end of this course, participants will be able to:

·        Identify high-value AI use cases across internal comms planning, drafting, and publishing

·        Use AI to accelerate content production while maintaining clarity, tone, and consistency

·        Design governance: roles, approvals, and guardrails for safe AI use in internal comms

·        Implement quality control methods to reduce errors, bias, and misinformation

·        Apply privacy and confidentiality practices for employee-related communications

·        Build an AI-enabled internal comms playbook with a 90-day pilot and 12-month roadmap

Target Audience

This course is designed for:

·        Internal communication leads and team coordinators

·        Corporate communications and employee engagement professionals

·        HR communications and culture teams supporting workforce messaging

·        Change communication practitioners managing large internal initiatives

·        Content editors and channel owners responsible for approvals and quality

Course Outlines

Day 1: AI Foundations for Internal Communications & Use-Case Discovery

·        Where AI fits: planning, drafting, rewriting, translation, FAQs, summaries, and reporting

·        AI capabilities and limits: hallucinations, overconfidence, and “tone drift” risks

·        Prompting fundamentals: audience, purpose, constraints, voice, and formatting

·        Data sensitivity: what can/cannot be shared (employee data, confidential strategy)

·        Activity: Build an AI internal comms use-case backlog + risk/value prioritization matrix

Day 2: AI-Enabled Content Production & Editorial Standards

·        Message architecture with AI support: key messages, proof points, and FAQs

·        Drafting faster: outlines, first drafts, and multi-version outputs for different channels

·        Tone and voice control: executive voice, empathetic tone, and plain language rewriting

·        Inclusion and accessibility checks: readability, bias review, and accessibility basics

·        Workshop: Produce a complete content set for one topic (email + intranet post + manager toolkit)

Day 3: Governance, Approvals & Quality Control (Human-in-the-Loop)

·        Governance design: roles, decision rights, and approval workflows for AI-assisted content

·        QA checklist: facts, dates, policy accuracy, legal/HR alignment, and sensitive language

·        Version control: prompts, drafts, approvals, and traceability for auditability

·        Red-flag handling: rumors, layoffs, investigations, safety incidents, and crisis content

·        Practical activity: Build an AI content workflow SOP + approval matrix + QC checklis 

Day 4: Channel Operations, Campaign Planning & Manager Cascade Enablement

·        AI for editorial planning: content briefs, calendars, and sequencing across channels

·        Cascade enablement: manager scripts, talking points, Q&A packs, and feedback prompts

·        Two-way comms support: summarizing questions, clustering themes, and response templates

·        Managing misinformation: internal rumor response workflows and escalation

·        Case study: Change communication simulation using AI-generated toolkits and controlledapprovals 

Day 5: Responsible AI, Measurement & Implementation Roadmap

·        Privacy and ethics: employee data protection, consent, and confidentiality guardrails

·        Brand safety: tone, cultural sensitivity, and reputational risk controls

·        Measuring success: cycle time, quality error rates, engagement, and trust indicators

·        Adoption plan: training, prompt libraries, templates, and governance cadence