A practical playbook for sales leaders. Learn 10 proven ways to use AI in 2026, with real workflows, example tech stacks, and agentic AI prompts.
But execution is still broken...
Sales leaders have access to the same AI tools:
Call intelligence, generative AI, forecasting models, automation.
Yet outcomes vary wildly.
Some teams use AI to sharpen execution, improve deal quality, and move faster with confidence, whilst others create noise, overwhelm reps, and struggle to turn insight into action.
This playbook exists to close that gap.
We created a practical, best-practice guide for sales leaders who want to turn AI into measurable performance. Not experiments or hype. Real execution.
10 Ways Sales Leaders Should Be Using AI in 2026 is a practical guide to applying AI across real sales workflows.
It shows how high-performing teams are:
Using AI to raise the baseline of execution
Removing inconsistency and optimism bias from deals
Letting humans focus on judgment, trust, and decision-making
This is not about adopting more tools.
It’s about designing systems where AI actually works.
Inside the playbook, you’ll find:
10 proven AI use cases across the full sales workflow, from outbound to coaching
Where AI creates leverage and where humans must stay in control
How to use AI to enforce consistency without adding process or admin
Practical examples of AI owning preparation, follow-up, insight capture, and execution quality
Clear guidance on how to implement AI deliberately, not all at once
You’ll also learn how elite teams are using AI to:
Improve deal quality without slowing velocity
Make pipeline signals more reliable
Professionalise sales execution again, not replace it
In 2026, using AI isn’t the hard part.
Operationalising it is.
Most sales teams fail in this are becuase of execution drifts:
Insights don’t turn into action
Best practices don’t spread
Coaching arrives too late
Reps don’t trust AI outputs
Leaders can’t see what’s really happening in deals
This playbook gives you a clear, practical blueprint for using AI to remove friction from execution. So performance improves quietly, consistently, and at scale.
If you’re trying to move from AI curiosity to AI leverage, this is for you.