AI for Office Administration Training Course

Duration 5 days 10 modules · 33 contact hours
Level Intermediate Certificate on completion
Who attends Office Manager, Executive Assistant and others
Fee from USD 1,100 KSh 95,000 for Kenyan organisations
Where 52 cities + online See dates by city
Next start 16 Nov 2026 Course code SD-OA-035

Before you join: Participants should have practical experience supporting an office, executive team, department or shared-services function.

Dates & prices

Two start dates a month in every city, and live online on weekdays or weekends. Fees are per participant; classroom fees include tuition, materials, lunch and refreshments, and the certificate.

Suggest a date or city

Showing the next six months. Later dates, other cities and private deliveries for your team are available on request.

Course overview

Office administrators and office managers coordinate calendars, meetings, correspondence, records, suppliers, facilities and executive support while protecting sensitive information and maintaining service standards. Generative AI can reduce time spent drafting, sorting, summarising, extracting and formatting, but unreviewed output can introduce factual errors, disclose restricted data, misstate decisions or weaken record control. The professional challenge is to choose suitable tasks, set clear human checks, and build repeatable methods that improve administrative throughput without transferring accountability to a model.

This course shows participants how to apply generative AI to core office administration work: drafting emails and briefing notes, preparing meeting materials, producing action logs, summarising documents, maintaining knowledge resources, analysing administrative data, and improving routine workflows. Participants learn structured prompting, source checking, output specifications, document controls, meeting governance, process mapping and AI risk assessment. They also assess which tasks require human judgement, formal approval or restricted-data handling.

Teaching combines short instructor briefings, demonstrations, case work, group analysis, prompt-writing practice, workflow simulations and application planning. Cases reflect executive offices, shared-services teams, project support units and public-facing administration functions. Participants leave with an Office AI Use-Case Register, a reusable Prompt Library, an AI-Assisted Workflow Specification, a Meeting Action Register and a 30-60-90 Day Implementation Plan. The course is delivered over five instructor-led days in a classroom or live online, with a certificate of completion.

The course is suited to experienced administrative professionals who already manage office processes and now need a controlled, practical approach to using AI within organisational policy, information-security requirements and established approval routes.

What you will be able to do

  • Assess office administration tasks for AI suitability using value, risk and control criteria
  • Write structured prompts that produce usable emails, agendas, summaries and action logs
  • Verify AI-generated content using source checks, acceptance criteria and human approval
  • Create AI-assisted document, meeting and correspondence workflows with defined ownership
  • Apply SIPOC process mapping to identify administrative automation opportunities
  • Analyse office data using cleaning checks, descriptive statistics and executive-ready narratives
  • Apply data classification, privacy and intellectual-property controls to AI-assisted work
  • Produce a 30-60-90 day office AI implementation plan with measures and safeguards

Benefits of attending

For you

  • Produces first drafts, summaries and meeting outputs faster while retaining professional judgement
  • Builds a reusable prompt library for recurring administrative work
  • Gains confidence reviewing AI output for errors, omissions and unsuitable wording
  • Develops a credible business case for office process improvements
  • Strengthens readiness for office management and operational support responsibilities

For your organisation

  • Reduces drafting, formatting and information-retrieval time in routine administrative processes
  • Improves consistency of agendas, minutes, action registers and management communications
  • Introduces defined checks for confidential data, factual accuracy and approval authority
  • Identifies high-volume office workflows suitable for controlled AI-assisted improvement
  • Creates measurable implementation plans linked to cycle time, rework and service quality

Course modules

10 modules over 5 days

Participants can identify appropriate office AI use cases and define accountable human controls.

  • Generative AI capabilities, limits, and office-administration use-case boundaries
  • Task inventory distinguishing drafting, summarisation, extraction, classification, and decision tasks
  • Human-in-the-loop controls for accuracy, authority, confidentiality, and final approval
  • RACI matrix for assigning AI-assisted administrative work and accountabilities
  • Value-versus-risk prioritisation using impact, frequency, effort, and error consequences
  • Office AI use-case register with owners, inputs, outputs, and controls

Participants can write structured prompts for reliable administrative outputs.

  • Role, task, context, constraints, and format prompt structure
  • Few-shot prompting with approved examples for recurring administrative outputs
  • Iterative refinement through critique prompts, verification prompts, and acceptance criteria
  • Structured output specifications for tables, agendas, action logs, and emails
  • Prompt libraries organised by process, audience, sensitivity, and approval route
  • Hallucination checks using source requests, cross-checks, and uncertainty flags

Participants can prepare and review AI-assisted communications for different office audiences.

  • Audience-purpose-tone analysis before generating executive and stakeholder communications
  • Email drafting from source notes while preserving accountable sender voice
  • Plain-language editing using active voice, headings, and defined actions
  • Translation review for meaning, register, cultural context, and confidential content
  • Message variants for executives, staff, suppliers, and external partners
  • Approval-ready correspondence checklist covering facts, tone, attachments, and recipients

Participants can use AI to prepare controlled documents and maintain accessible office knowledge.

  • Document summarisation methods for policies, contracts, reports, and briefing packs
  • Extraction prompts converting unstructured documents into controlled data fields
  • Standard operating procedure drafting from process notes and subject-matter inputs
  • Knowledge-base article structures: purpose, scope, steps, exceptions, and ownership
  • Version-control practices for AI-assisted documents and approved source material
  • Records retention decisions aligned with organisational schedules and legal holds

Participants can use AI-assisted methods to prepare meetings and maintain reliable action records.

  • Agenda generation linked to objectives, decisions, attendees, and pre-reading
  • Meeting note structures separating decisions, actions, risks, and discussion
  • Action registers assigning owners, deadlines, dependencies, and escalation triggers
  • Transcript review techniques correcting attribution, omissions, and sensitive statements
  • Decision logs capturing rationale, approvals, constraints, and follow-up requirements
  • Follow-up communication drafted from validated minutes and action data

Participants can specify AI-assisted workflows with suitable controls and exception handling.

  • Process mapping with SIPOC to locate repetitive administrative handoffs
  • Automation suitability assessment using volume, variability, rules, and exception rates
  • Human review gates for consequential outputs, exceptions, and external communications
  • Workflow specifications defining triggers, inputs, outputs, owners, and service levels
  • Exception handling procedures for missing data, conflicts, and failed automations
  • Before-and-after measures for cycle time, rework, backlog, and quality

Participants can analyse administrative data and prepare evidence-based management updates.

  • Spreadsheet data cleaning before AI analysis: duplicates, blanks, formats, anomalies
  • Prompted analysis of administrative workloads, expenses, attendance, and service requests
  • Descriptive statistics distinguishing counts, averages, trends, and outliers
  • Chart selection for executive updates, operational reviews, and exception reporting
  • Data validation checks before distributing AI-generated findings or recommendations
  • Management dashboard narratives linking evidence, actions, owners, and deadlines

Participants can apply practical governance controls to office AI tasks and outputs.

  • Data classification rules for public, internal, confidential, and restricted information
  • AI risk assessment covering privacy, security, bias, accuracy, and intellectual property
  • Approved-tool decisions based on data handling, contracts, and access controls
  • Prompt sanitisation techniques removing personal data, credentials, and sensitive identifiers
  • Copyright and attribution checks for generated text, images, and research
  • Incident escalation routes for harmful outputs, disclosures, and policy breaches

Participants can plan an office AI pilot that addresses adoption, governance and operational measures.

  • Stakeholder analysis identifying sponsors, users, approvers, and affected teams
  • SMART objectives for office AI pilots, operational targets, and review dates
  • Pilot charter defining scope, success measures, risks, resources, and governance
  • Change-impact assessment for roles, procedures, training, and communications
  • Adoption communications addressing benefits, boundaries, support, and feedback channels
  • Training needs matrix by role, task, risk level, and proficiency

Participants can present a practical, controlled plan for applying AI to their office responsibilities.

  • Personal use-case selection based on value, feasibility, risk, and authority
  • Current-state process baseline documenting time, errors, handoffs, and bottlenecks
  • Future-state workflow combining AI steps, human checks, and escalation points
  • 30-60-90 day implementation plan with milestones, owners, and measures
  • Manager briefing structure presenting rationale, safeguards, costs, and expected results
  • Peer review against accuracy, privacy, operational fit, and acceptance criteria

Exercises and examples are adapted to each cohort's sectors and roles.

What you take back to work

  1. Office AI Use-Case Register
  2. Administrative Prompt Library
  3. AI-Assisted Workflow Specification
  4. Meeting Action Register Template
  5. AI Risk Assessment Checklist
  6. 30-60-90 Day Implementation Plan

Who should attend

  • Office Manager — needs controlled methods for improving office services with AI
  • Executive Assistant — prepares high-volume communications, briefings and meeting materials
  • Administrative Manager — oversees consistent procedures, workload allocation and service quality
  • Senior Administrator — handles complex records, correspondence and stakeholder coordination
  • Operations Coordinator — improves recurring handoffs, registers and reporting processes
  • Project Support Officer — manages meetings, documentation, actions and status updates

Skills and tools covered

AI prompt designOffice workflow automationMeeting action managementDocument quality controlAI risk assessmentAdministrative data analysis

Tools and standards

Microsoft 365 Copilot, ChatGPT Enterprise, Google Workspace Gemini, NIST AI Risk Management Framework

How the course runs

Training methodology

The course uses short briefings to establish methods, followed by demonstrations of AI-assisted office tasks. Participants analyse realistic cases, write and improve prompts, compare generated outputs against source material, and work in groups on correspondence, meetings, records and workflow scenarios. Simulations address errors, restricted information, unclear instructions and approval failures. Facilitated discussion connects each method to participants' own responsibilities. The final application planning work converts selected office tasks into controlled implementation actions, measures and review points.

Requirements and prerequisites

Participants should have practical experience supporting an office, executive team, department or shared-services function. They should be comfortable using common office applications for email, documents, spreadsheets, calendars and online meetings, and should understand their organisation's normal approval and confidentiality requirements. Prior use of ChatGPT, Microsoft 365 Copilot, Gemini or similar tools is helpful but not required. No programming, data science, automation-platform configuration or technical AI background is assumed. Participants should bring examples of non-sensitive administrative tasks they want to improve.

A typical training day

08:30 – 10:30First session
10:30 – 10:45Refreshment break
10:45 – 12:30Second session
12:30 – 13:30Lunch and networking
13:30 – 15:00Third session
15:00 – 15:15Refreshment break
15:15 – 16:30Workshop and daily review

Live online deliveries follow the same structure in East Africa Time, with shorter screen blocks and longer breaks.

What the fee includes

  • Instruction by a practitioner facilitator
  • Full course workbook and materials
  • Exercise files, templates and case studies
  • Refreshments and lunch on classroom deliveries
  • Certificate of completion
  • Post-course application plan

Frequently asked questions

Participants should already perform office administration, executive support, coordination or operational support work. No programming or previous AI-tool experience is required, but confidence with email, documents, spreadsheets and calendars is expected.

Bring a laptop if attending in person, along with non-sensitive examples of recurring tasks such as meeting preparation, correspondence, reporting or document control. Do not bring confidential records, personal data, client information or credentials.

It is designed for office managers, executive assistants, administrative managers, senior administrators, operations coordinators and project support staff. It is most useful for professionals who influence office procedures and quality standards.

This course focuses on office administration outputs, controls and workflows rather than generic AI concepts. It addresses meeting records, correspondence, knowledge resources, administrative reporting, approvals and information-handling risks.

Participants select office tasks that are suitable for controlled AI assistance and document the required inputs, checks, owners and measures. They leave with a staged implementation plan that can be discussed with their manager or information-security team.

The five days contain approximately 32.5 contact hours, normally from 08:30 to 16:30 each day. Time is divided between instructor input, demonstrations, case analysis, group work, simulations, prompt practice and implementation planning.

Questions about this course?

Ask about dates, fees, group bookings or running it for your team. Our training team replies by email.