Date
22 May 2026
Selected work / Parasat
Parasat Business Club AI Talk
A CEO-focused talk on using AI as a working layer before the task reaches the team: to think, test, analyze, structure, and decide what deserves implementation.
Format
60 min
Audience
Business owners
Parasat Business Club
A 60-minute executive talk built from a practical owner workflow: AI as thinking partner, finance analyst, knowledge layer, agent interface, implementation filter, and use-case canvas.
The work
I built the talk around a CEO's day: a stream of ideas, numbers, half-formed tasks, team questions, market signals, and decisions that need a better first pass before they become work for other people.
What mattered
The point was not content generation. The useful question for owners is more demanding: can AI make the first version of thinking clearer, expose weak assumptions, prepare better analysis, and turn a vague intention into a precise task?
What shipped
A 60-minute talk with live workflow logic, an AI finance analyst pattern, knowledge-base framing, agents, implementation reality, and a use-case canvas for choosing serious projects.
Case study
Parasat Business Club AI Talk
On May 22, 2026, I spoke at Parasat Business Club about AI from the point of view of a CEO. The angle was intentionally not "write me a social post". Owners already have enough tools for content. The more interesting layer is earlier: the moment when a thought is still rough, a number needs pressure-testing, a team task is still vague, or a decision needs a second analytical pass. The talk framed AI as a working layer that sits between the owner's head and the organization. Before a task reaches finance, operations, marketing, or product, AI can help sharpen the question: what are we assuming, what data is missing, what scenarios should be compared, what would change the decision, and what should be written down so the team receives a better brief.
Need
Show AI at the owner level
Many AI conversations stay at the surface: text, images, presentations, quick tricks. For a CEO, the leverage is different. AI becomes valuable when it improves the quality of thought before the organization spends time on it.
Talk
AI as the CEO's working layer
The presentation moved through a practical arc. First: the personal workflow of an owner who uses AI to test ideas, challenge plans, prepare questions, and turn scattered inputs into structure. Then: the AI finance analyst pattern, where the model helps interrogate numbers before the task goes to the finance team. Then: company knowledge, agents, and the reality check around implementation. The key idea was iteration. A serious AI workflow rarely ends after one prompt. It looks more like a conversation with pressure: clarify, disagree, ask for assumptions, change the format, compare options, request risks, add context, remove weak logic, and only then produce a task for a human or a system.
Program
From daily owner habits to AI use-case canvas
The source presentation was designed as a bridge: start with personal habits, then move toward organizational choices. A CEO can use AI immediately for thinking and analysis, but company-level AI requires a different discipline. That is why the final layer was the AI use-case canvas: what data exists, who owns the process, what decision changes, what risk appears, and how success will be measured.
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Want an AI session for business owners?
I help owners turn AI from a fashionable topic into a working layer for analysis, decisions, and better tasks for the team.