Workflow example

Sales admin

Proposals, follow-ups, CRM updates, and meeting notes leak time after every conversation.

Where AI helps

Useful assistance, kept close to the workflow.

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Turns call notes into structured next steps, proposal inputs, and CRM updates.

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Drafts follow-up emails in the right tone while leaving approval with the account owner.

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Highlights missing fields before a handoff moves from sales into delivery.

Where AI does not help

Boundaries make the work safer.

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It will not fix unclear qualification criteria or a weak offer.

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It should not send commercial promises without human review.

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It should not become a second CRM sitting outside the system of record.

Before and after

The change should be visible in the work.

Illustrative example
Before

A sales call ends, notes sit in a document, and the follow-up waits until the end of the day.

After

Notes are summarised into actions, a follow-up draft is ready, and CRM fields are queued for review.

Illustrative example
Before

Proposal inputs are rebuilt from memory each time a similar client asks for help.

After

Reusable sections, risks, and next-step language are drafted from approved examples.

Next step

See if AI is worth it for your team.

Bring a repetitive workflow, a messy handoff, or a team question about AI. The first conversation is about whether there's a practical, safe starting point.