Practical guides for consulting, banking, M&A, insurance, and regulated industries. Learn how to automate presentation work while protecting confidential data, approved content, brand standards, and human review.
34 articles
Hands-on test of ChatGPT Astra for PowerPoint presentations: where GPT-6 Astra makes good slides, where templates and sources break, plus a 30-minute test.
Build consulting storylines without overlaps or gaps. Includes split patterns, a worked slide sequence, a 12-point MECE checklist, and an AI prompt pattern.
A conservative PowerPoint automation ROI model with formulas, a worked example, sensitivity analysis, and a pilot plan for measuring time, quality, and risk.
The Pyramid Principle in PowerPoint on one worked example: message tree, a weak storyline rewritten answer-first, action title tests, seven steps, AI prompt.
Fifteen AI use cases that hold up in a consulting firm, ranked by value and risk, with the control each one needs and the ones I would not start with.
Where AI helps in bank presentation workflows, where it must not go, and the governance a supervised institution needs: source authority, access, DORA and human release.
An AI agent in PowerPoint can read company knowledge, plan a deck and edit slides. How to scope its permissions, bound its actions and test it before rollout.
Automate the monthly finance reporting pack without losing number integrity: one source per figure, native charts, variance commentary rules and reconciliation.
Where AI helps across an M&A process, where confidentiality makes it unacceptable, and the workflow controls a deal team needs before anything touches the data room.
Native slides are not a formatting preference. They decide whether review is possible, corrections stay cheap, content is accessible and you can switch vendors.
The data model behind a credentials library that AI can safely retrieve from: CV fields, reference fields, permission levels, tagging, review cycles and GDPR duties.
How AI fits a pharmaceutical presentation workflow without breaking medical, legal and regulatory review: claim substantiation, approved copy, reference linking and audit trail.
Automate Excel to PowerPoint without broken links or pasted images: native charts and tables, a named-range extraction contract, clean refresh, source footers.
Forty checks across argument, evidence, numbers, confidentiality, brand and the final file, ordered the way an experienced reviewer actually works through a deck.
AI presentation governance defines what an AI system may read, generate, change and release in your slide production. Here is the framework we use with enterprise teams.
How to cite sources on slides so claims stay verifiable: footer conventions, record identifiers, as of dates, link durability, and how to verify AI generated citations.
Most slide libraries fail because nobody owns them. Here is the taxonomy, ownership model, review cycle and retrieval design that makes reuse actually happen.
A procurement checklist for public sector buyers of AI presentation software: records requirements, accessibility, security classification, supplier risk, NIS2 and exit.
Pitchbook automation for investment banks: comps, profiles and charts from approved data, compliance controls in the system, and a conservative ROI model.
Insurance presentation workflows span regulated reporting, actuarial analysis, distribution material and claims. Here is how to govern AI across all four without one blanket rule.
A page by page structure for an investment committee paper, what each section must contain, and the review checklist that stops a committee debating formatting instead of risk.
A structured way to answer whether specific deal material may go into a specific AI tool, covering NDAs, inside information, personal data, the processing chain and deletion.
Thirty five pitchbook checks across valuation, comps, market data, confidentiality, disclaimers and the final file, in the order an experienced reviewer works.
DORA has applied since 17 January 2025. A practical checklist for assessing AI presentation software as an ICT third party service: contracts, register, testing, exit.
PowerPoint brand governance for enterprises: lock masters, logos and disclaimers in the file, and what a brand compliance checker should verify on every deck.
A buyer's checklist for AI presentation software in 2026: data processing, permissions, output format, brand control, auditability, contracts and exit. 60 questions.
A PowerPoint Company Brain is a governed knowledge layer that connects approved slides, CVs, references, templates and wording to the people and agents who build decks.
Article 4 has applied since 2 February 2025. A practical AI literacy programme for professional teams: role based tiers, content, evidence, and how to keep it current.
A step by step workflow from RFP receipt to submitted proposal deck: compliance matrix, bid thesis, controlled retrieval, native slides and three separate reviews.
EU AI Act deployer checklist for 2026: what applies now, what the Digital Omnibus deferred, and the documentation pack to keep under Articles 4, 26, 27 and 50.
Human review only works when the reviewer has time, evidence, authority and a checklist. Here is how to design a review gate for AI generated decks that actually catches things.
What I learned building proposals in consulting, and the workflow from RFP to finished deck I would use today: approved evidence, bounded AI, partners still accountable.
A 12-point GDPR checklist for AI presentations from a certified DPO: lawful basis, minimization, vendors, transfers, retention, DPIA and a release record.
How I would build PowerPoint automation for a regulated team: approved inputs, bounded actions, traceable sources, native output, and a named human approver.
Authors
Our founders write from first-hand experience: Florian on consulting and agentic AI, Maximilian on data protection and enterprise operations, and Robin on AI architecture and security. We share this expertise to help teams build safer, faster, and more professional presentation workflows. Regulatory content is grounded in primary sources and receives specialist review where required.
Product strategy, consulting, and agentic AI workflows
Florian writes about consulting workflows, professional presentations, company knowledge, and the controlled adoption of agentic AI.
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Strategy, enterprise operations, and data protection
Max writes about management consulting, enterprise adoption, data protection, and the operating controls required for AI in regulated organisations.
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AI infrastructure, software architecture, and security
Robin writes about AI architecture, secure data flows, software engineering, PowerPoint systems, and scalable enterprise integrations.
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