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AI for sales: a reality check from the boardroom

Downloads | AI ROI, Boardroom findings, Sales and marketing leaders

About ten senior commercial and technology leaders met behind closed doors at aiblLIVE London 2026 to ask where AI is really changing how revenue teams sell, forecast and coach. Most of their teams use it. Few can show what it returns.

Their answer was to define the outcome and the workflow first, then put verified data where sellers already work, rather than giving everyone a chatbot and hoping.

The session in numbers

  • 1 hour closed-door discussion
  • About 10 senior leaders in the room
  • 5 actions to take back

Session format as run at aiblLIVE London 2026, under the Chatham House rule

Why can so few sales teams show a return on AI?

Because they rolled it out before deciding what to measure. Leaders described more activity and happier partners but no metrics. Staff do the same job as before and now spend money on tokens too, and many have never been taught to prompt.

What should revenue leaders measure?

Efficiency, meaning more seller time with customers, and effectiveness, meaning better conversations visible in win rates, average selling price and stage conversion. Together they drive revenue per head. Get visibility of the data first, then automate the action.

Where should AI sit in a sales team?

Where sellers already spend their day. One revenue operations director surfaces CRM and conversation data inside the team chat tool so nobody switches tabs. The room warned that open access with an instruction to go and play is the surest route to failure.

Key takeaways

  • Decide the metric before the rollout. Measurement added afterwards rarely catches up.
  • Teach people to prompt. Every poor prompt on paid credits is a cost.
  • Map the workflow first. Know the metric and where the work happens.
  • Let your own data decide. What helps in mid-sized deals can hurt in enterprise ones.

What’s in the full findings report

The full findings report covers what the room said, without attribution:

  • Why AI use is high and measured return is low
  • What one sales team learned from a 40-hour AI fluency course
  • The efficiency and effectiveness frame for measuring value
  • Why systems of work matter more than systems of record
  • Five actions to take back

From a boardroom roundtable at aiblLIVE London 2026, held under the Chatham House rule and hosted by Laura Gracey and Samantha Stephens of Gong. See all the workshops and boardroom roundtables from the day.

Get the boardroom's findings

AI for sales: a reality check from the boardroom
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