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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

AI StrategyBusiness ApplicationsAI Tools

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

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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Individual Claim

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"[claim text]" (Banc, Kamil, 2026, https://kbanc.com/claims-library/find-out-what-your-client-actually-needs)
Full Context

Original Article

Use this when you want to cite the full newsletter article at AI Adopters Club rather than the structured claims page.

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-actually
Research

Claims Collection

Use this when you want to reference the full structured claims collection on this page.

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-needs

Attribution Requirements

  • Include the author name: Kamil Banc.
  • Include the source: AI Adopters Club or the structured claims page.
  • Link to the original article or the claims page you used.
  • Indicate any edits or transformations if you changed the wording.

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