Claims Library Entry
Find Out What Your Client Actually Needs
A guide on using AI to better understand client needs before writing proposals. Learn how to prepare useful questions before a call, make sense of the client's answers afterward, and decide on a clear next step.
Published September 14, 2026 by Kamil Banc
Lead claim
Use AI before and after client calls to prepare questions, interpret answers, and draft your next step.
Atomic Claims
What this article supports
Copy individual claims as needed.
Claim 1 · Source summary
Pre-Call Question Prep
Giving AI relevant client background before a call helps prepare useful discovery questions
Claim 2 · Source summary
Two AI Jobs
AI can be given one job before the call and another after hearing answers
Claim 3 · Source summary
Post-Call Note Checking
After the call, AI helps interpret notes and check your reading of the answers
Claim 4 · Source summary
Drafting Next Steps
AI can draft a useful next step such as a small test or clearer proposal
Claim 5 · Source summary
Fit Before Proposals
Better discovery can reveal missed questions or a poor fit before writing a proposal
Evidence
Context behind the claims
Quote
"Now you're staring at a proposal and realizing you're still guessing about what they need."
Key statistics
Published September 14, 2026
The article by Kamil Banc appeared on Substack under strategy, business, and tools topics.
3-minute audio duration
The article includes an embedded audio version lasting approximately three minutes.
Supporting context
The article presents a practical workflow for improving client discovery using AI as a preparation and synthesis partner. The practitioner first supplies AI with relevant background about the client, then assigns it a task before the call—generating useful questions—and a second task afterward—making sense of the answers. This structured approach helps consultants verify their interpretation of client responses and draft a concrete next step, such as a small test or a sharper proposal. The methodology emphasizes learning early whether a question was missed or whether the engagement is a poor fit, saving time otherwise spent writing proposals on guesswork. For practitioners, the application is straightforward: treat AI as a discovery assistant at defined checkpoints rather than a replacement for the conversation itself.
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"[claim text]" (Banc, Kamil, 2026, https://kbanc.com/claims-library/find-out-what-your-client-actually-needs)Original Article
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Banc, Kamil (2026, September 14, 2026). Find Out What Your Client Actually Needs. AI Adopters Club. https://aiadopters.club/p/find-out-what-your-client-actuallyClaims Collection
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Banc, Kamil (2026). Find Out What Your Client Actually Needs [Structured Claims]. Retrieved from https://kbanc.com/claims-library/find-out-what-your-client-actually-needsAttribution Requirements
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