AI for business: what works and what does not
- Where AI adds value in business workflows.
- Tasks that still need human judgement.
- Setting realistic expectations for output quality.
- Choosing between AI, spreadsheet formulas and BI tools.
AI for business productivity
Use AI to work smarter across everyday business tasks
Apply AI to data analysis, reports, presentations, documentation, customer communication and repetitive workflows, with clear review and privacy practices.
Course overview
Turn AI from a novelty into a daily work habit
Most business users have tried an AI chatbot once or twice but have not built reliable habits around it. This program focuses on the tasks that consume time every week: analysing spreadsheets, preparing reports, drafting communication, summarising meetings and packaging information for decisions.
Each module uses business scenarios and requires you to verify the output. You will leave with prompt patterns, checklists and a workflow you can reuse immediately.
What you will practise
- Asking AI to explain and analyse data without trusting it blindly.
- Building report outlines, summaries and first drafts faster.
- Preparing presentations with a clear structure and message.
- Drafting customer and internal communication in the right tone.
- Reducing repetitive work while keeping a human review step.
Tools disclaimer: Sessions explore tools such as ChatGPT, Gemini, Microsoft Copilot and other relevant platforms only where available and relevant to the batch. No program promises coverage of every AI tool or technology.
Curriculum
AI for business productivity modules
Nine modules built around everyday business work.
Prompt patterns for business tasks
- Briefing AI with audience, purpose and constraints.
- Using templates and examples for consistency.
- Requesting tables, bullet points and summaries.
- Iterating and correcting output.
AI-assisted Excel and data analysis
- Explaining datasets, columns and relationships.
- Generating formulas and checking them.
- Drafting pivot-table and analysis plans.
- Interpreting results without overclaiming.
Reports, summaries and business writing
- Turning raw notes into a structured report.
- Executive summaries and key takeaways.
- Maintaining accuracy and appropriate tone.
- Fact-checking names, figures and claims.
Email and customer communication
- Drafting clear, polite and specific emails.
- Adapting tone for customers, colleagues and leaders.
- Handling follow-ups, reminders and difficult messages.
- Keeping human approval before sending.
Presentations and documents
- Building a storyline and slide outline.
- Turning analysis into presentation-ready points.
- Creating documentation and process notes.
- Reviewing AI content for consistency and accuracy.
Meetings, knowledge and research
- Summarising meeting notes and action items.
- Creating internal how-to and FAQ content.
- Researching markets, vendors and options.
- Verifying sources and recording assumptions.
Business analysis and decision support
- Structuring a problem before asking AI.
- Generating options, risks and trade-offs.
- Using AI for scenario and sensitivity thinking.
- Keeping decisions with accountable owners.
Workflow integration and responsible use
- Redesigning a repetitive task with AI assistance.
- Privacy, confidentiality and approved tools.
- Review checkpoints and quality control.
- Capstone: an AI-assisted business workflow.
Learning outcomes
What you should be able to do
Analyse data faster
Use AI to explore spreadsheets and generate formulas, then verify the results.
Produce better reports
Move from notes to a structured report with a clear executive summary.
Communicate efficiently
Draft and adapt business emails and updates without losing accuracy.
Build presentations
Create a logical storyline and slide outline from analysis.
Summarise knowledge
Turn meetings, documents and research into usable notes.
Work responsibly
Apply privacy, review and approval steps before using AI output.
Practical work
Build a workflow you can use at work
- Analyse a sample sales or operations dataset with AI assistance.
- Produce a one-page management summary from the analysis.
- Create an email and a presentation outline for the same findings.
- Summarise a sample meeting transcript into actions and owners.
- Document a before-and-after workflow with review checkpoints.
Data safety: Exercises use sample or sanitised data. Do not enter confidential employer or customer data into tools that are not approved for that purpose.
Enrolment questions
Business productivity FAQ
Is this course suitable for non-technical staff?
Yes. It is designed for business users with no coding requirement. Comfort with Excel, email and documents is sufficient.
Will AI replace Excel or our reporting tools?
No. AI can help you plan analysis, generate formulas and explain results, but the spreadsheet or BI tool still performs the calculation. Verification remains essential.
Can we use our own company reports in the exercises?
For corporate batches, sanitised versions of your templates and reports can be used if your organisation approves. Public batches use sample data to avoid confidentiality risks.
Which tools are covered?
Tools such as ChatGPT, Gemini, Microsoft Copilot and other relevant platforms are explored where available and relevant to the batch. We do not promise coverage of every tool or technology.
Do you guarantee productivity improvements?
No. The course teaches methods and workflows. Actual improvements depend on your tasks, tools, data quality and how consistently the workflow is applied.
Related AI programs
Continue your AI learning
Business productivity
Make AI useful in your working week
Tell us your role and the tasks you want to speed up. We will suggest the right batch and exercises.