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Training Strategy & Advisory

AI practices for sales.

Copilot as part of the everyday work of proposals and client meetings. Not just training. A new way of working.

Mid-sized B2B services company, about 80 sales and account professionals

The challenge

A familiar situation: the Copilot licenses are in use, but usage rests on a few enthusiastic salespeople. Most of the team opens Copilot a few times in the first week and then never again. Sales leadership has no data on whether the tool saves time or not. Only the impression that something is going unused.

How the solution is built

The solution starts with leadership coaching, not a whole-team training. When sales leaders themselves use Copilot for going through proposal requests and preparing client meetings, use starts flowing into the team naturally, without a forced “everyone learn this now” session.

After that, a role-based use case library is built: separately for new business, key account managers and customer service. For each role, 5–8 concrete prompts tied directly to their weekly work, not generic “write an email with Copilot” examples.

Usage and time saved are made visible in a Power BI dashboard that sales leadership follows monthly. Once the data exists, expansion decisions are no longer guesswork.

What the solution aims for

Active weekly use rises from a handful of power users to most of the team. Sales leadership gets a measured view of where Copilot actually saves time and where it does not yet.

What everyday work looks like
5–8

concrete prompts per role, tied directly to weekly work

20 min

estimated saving per proposal request once the role-based prompts are in use

3

roles get their own use case library, instead of one generic guide for everyone

The goal: Copilot becomes part of how proposals get made, not a side experiment forgotten after the first week.

This could be you

Could this work for you too?

The same model scales to organizations of every size. Tell us about your situation, and we'll take a look together.

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