Cambridge
Academy
In London

Introduction

Generative AI can significantly accelerate policy and SOP development by producing first drafts, standardizing language, improving clarity, and supporting consistent templates—while still requiring strong governance, validation, and human oversight. This practical program equips policy and procedure leaders with AI-enabled methods to draft, refine, and maintain policies and SOPs efficiently, with clear controls for accuracy, compliance, and audit readiness.

Course Objectives

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

·        Use generative AI to draft and improve policies and SOPs with consistent structure and tone

·        Standardize policy language (must/should/may), definitions, and control requirements

·        Design AI-assisted workflows for process mapping, SOP step design, and documentation packs

·        Implement quality assurance: fact-checking, policy consistency checks, and human review gates

·        Apply confidentiality, privacy, and responsible AI practices in documentation work

·        Build an AI-enabled policy/SOP toolkit with templates, prompts, and a rollout roadmap

Target Audience

This course is designed for:

·        Policy and procedure leads and governance officers

·        Quality management and internal control professionals

·        Process owners and SOP writers across operations and support functions

·        Risk, compliance, and internal audit professionals supporting documentation assurance

·        PMO and transformation professionals standardizing ways of working

Course Outlines

Day 1: Generative AI Foundations for Policy & SOP Work

·        Where generative AI helps: drafting, rewriting, summarizing, standardizing, and translating

·        AI limits and risks: hallucinations, inconsistency, and overconfidence

·        Prompting basics for documentation: context, scope, definitions, and formatting rules

·        Safe use: confidentiality, sensitive information handling, and approval boundaries

·        Activity: Create a personal prompt library for policy/SOP drafting + a QA checklist 

Day 2: AI-Assisted Policy Writing (Structure, Language & Controls)

·        Policy anatomy: purpose, scope, definitions, roles, requirements, exceptions, records

·        Standardizing requirement language: “must/should/may” and enforceability

·        Embedding controls: control objectives, control points, evidence, and accountability

·        Handling exceptions and non-compliance: approvals, escalation, and consequences

·        Workshop: Draft a full policy using AI + run a consistency and compliance review

Day 3: AI-Assisted SOP Design & Process Documentation Packs

·        From process to SOP: capturing inputs, steps, decisions, outputs, and quality checks

·        AI for process mapping support: SIPOC/flowchart narratives and role-based steps

·        SOP clarity: task-level instructions, decision points, and error-proofing checks

·        Building the pack: checklists, templates, forms, and job aids with AI assistance

·        Practical activity: Create an SOP pack (SOP + checklist + form + quick reference guide)

Day 4: Quality Assurance, Version Control & Audit Readiness

·        QA standards: accuracy, completeness, consistency, and readability

·        Validation methods: cross-checking against regulations, internal standards, and source documents

·        Version control: change logs, controlled distribution, and review cycle triggers

·        Audit readiness: evidence requirements, record retention, and documentation traceability

·        Case study: AI-generated policy errors—how to detect, correct, and prevent recurrence

Day 5: Governance, Adoption & Implementation Roadmap

·        Governance for AI-assisted documentation: roles, approvals, accountability, and escalation

·        Responsible AI: privacy, bias checks (where relevant), and transparency of use

·        Training and adoption: writer enablement, templates, style guides, and review routines

·        Measurement: cycle time reduction, quality defect rates, compliance feedback, and audit findings