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Automating the Twenty Minutes Before Every Sales Call

Building an application that gathers, summarises and prepares prospect context so salespeople spend their time selling.

Updated 2 min readBy SpiderHunts Technologies

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Quick answer — TL;DR

Research before a call is high-value, low-risk automation: nothing customer-facing, easily checked, and it recovers fifteen to twenty minutes per call. The brief lands in the CRM before the meeting.

Salespeople spend a third of their time on this

Reading the website, checking recent news, looking at the CRM history, working out who else in the business has spoken to them. Fifteen to twenty-five minutes a call, and it is essential work performed badly under time pressure.

It is also entirely automatable, because it is gathering and summarising rather than judging.

What the brief contains

  1. Company summary — what they do, size, sector, in three lines
  2. Recent signals — funding, hiring, product launches, news
  3. Relationship history — every previous contact, from the CRM and inbox
  4. Likely fit against your typical customer profile
  5. Three suggested questions, specific to them
Delivered to the CRM record an hour before the meeting, and to the salesperson's inbox. Nobody has to remember to request it.

Why it is low risk

Nothing goes to the customer. The salesperson reads it, forms their own view, and any error is caught in the first minute of the conversation.

That makes it an unusually good first AI project: real value, immediate feedback, no exposure.

Sourcing matters

  • Public sources only, cited so claims are checkable
  • Your own CRM and inbox, which is the richest source and the most neglected
  • No inference presented as fact — “appears to” where the source is thin
  • A clear note when little was found, rather than padding

The measurable effect

Time per call preparation, calls per rep per week, and how often the brief is opened. The last one is the honest measure of whether it is useful.

In practice open rates above 80% within a month mean it has landed; below 40% means it is not saying anything the rep did not know.

FAQ

Frequently asked questions

The questions readers ask us after this guide.

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Where does the data come from?

Public web sources, your CRM, and your email history where you permit it. No purchased data unless you already licence it.

What if it gets something wrong?

The salesperson notices in the conversation. That is the reason this is a safe place to start — errors are caught immediately and cost nothing.

Does it work for small prospects?

Less well — there is simply less public information about a twelve-person firm. The CRM history component still helps.

How long to build?

Three to five weeks for a first version integrated with your CRM.

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Reps preparing calls at 8am?

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