Executive session · By invitation · Online · English
This is not a briefing about AI strategy. This is a hands-on orientation to the AI tools that belong on your desk, in your calendar workflow, and inside your daily decision-making process — right now, in 2026.
Most AI sessions pitched at the C-suite treat the CXO as a passive audience for technology presentations. This session treats you as the primary user.
Every tool covered, every demonstration shown, and every framework offered is built around a single question: What does this do for you, personally, on a Tuesday morning when you have three board packs to read, a strategy review to prepare, a town hall to script, and a vendor negotiation to walk into?
The answer, it turns out, is quite a lot.
Google's NotebookLM is, without exaggeration, the most immediately useful AI tool available to a senior leader who works with large volumes of documents. It is not a chatbot. It is a closed, source-grounded intelligence layer that sits on top of your own material and lets you interrogate it conversationally.
What it does that nothing else does:
NotebookLM ingests your documents — board papers, analyst reports, strategy decks, market research, financial models, competitor filings, regulatory guidance, industry white papers — and creates a dedicated AI instance that knows only that material. It will not hallucinate facts from the internet. Every answer it gives is grounded in, and cited back to, your uploaded sources.
CXO use cases:
Why grounding matters at the executive level: When you are making decisions worth millions — on acquisitions, strategic pivots, workforce restructuring — you cannot afford an AI that invents citations. NotebookLM's source-anchored design is a governance feature that makes it appropriate for executive decision support in ways that generic chatbots are not.
Every time a CXO uses a commercial cloud AI tool to process a board communication, an unreleased financial projection, an M&A strategy document, or a sensitive HR matter, data leaves the organisation's environment. For most tasks, the risk is managed and acceptable. For some, it is not.
Small Language Models (SLMs) — particularly Google's Gemma 4 family — represent a strategically important alternative: powerful AI that runs entirely within your own infrastructure, with no data transmission to any external server.
What this means in practice:
The critical insight: Data sovereignty is not an IT question. It is a boardroom question about risk appetite, regulatory exposure, and competitive confidentiality. When your SLM runs on your own infrastructure, you own the audit trail, you control access, and no vendor's terms-of-service change touches your data. That is a qualitatively different risk position.
This is the heart of the session — the specific tools, workflows, and habits that senior leaders across industries are using to dramatically compress the time cost of their most demanding daily tasks.
Claude has become the preferred AI tool for knowledge work at the senior leadership level — not because it is the fastest or the most feature-rich, but because it is the most nuanced in its reasoning and the most trustworthy in handling complexity and ambiguity.
Daily CXO use cases:
The enterprise trust dimension: Claude (via Claude for Work / Claude Enterprise) operates with strong data handling commitments — no training on your inputs, configurable data residency, and audit capabilities. These are contractual commitments your legal and compliance team can evaluate.
For organisations running on Google Workspace, Gemini is the lowest-friction AI deployment available — because it is already there. No new procurement, no change management overhead, no integration project.
Gemini lives in all your Google Workspace products.
The multimodal advantage: Gemini can process text, images, documents, and data simultaneously — useful when reviewing complex reports that combine financial tables, charts, and written analysis.
The honest limitation: Gemini's depth of reasoning on genuinely complex strategic questions remains behind Claude's. For first-draft productivity and document drafting within Google Workspace — it is outstanding. For nuanced strategic thinking or adversarial analysis — pair it with Claude.
Every CXO needs to be rapidly informed on topics they did not wake up knowing they needed to know. A competitor made a surprise announcement. A regulatory development dropped overnight. A board member raised a topic you need to brief yourself on before the next call.
Why Perplexity, specifically:
The single largest recoverable time cost for most senior leaders is meetings — specifically, the time spent that produces no documented output, and the time spent reconstructing what was decided.
The executive dividend: When every meeting produces an automatic summary, action item list, and searchable transcript, you stop losing the output of your most valuable conversations. The compounded time saving across a leadership team is measured in hours per week.
The governance note: Brief your teams before deploying any recording and transcription tool. Consent, notification, and data handling policies for meeting records belong in your AI governance framework — and we address this directly in the session.
This covers how to integrate these tools into a coherent daily workflow rather than treating them as isolated experiments:
Available as a private one-on-one executive briefing. Pricing is available on Topmate.
Every participant receives the post-session executive summary, the NotebookLM setup guide, the SLM deployment decision framework, the daily workflow template, and the AI governance starter kit.
Thomas Cherickal · AI Consultant · The Digital Futurist · Chennai, India
Book a private executive briefing: topmate.io/thomascherickal Connect for a free introductory conversation: linkedin.com/in/thomascherickal Online Profile: thomascherickal.com