More prepared conversations. Less pipeline drag.

Support the seller, not the spam folder

The easy use of generative AI in sales is producing more generic outreach. That creates volume without relevance and quickly damages trust. A better agent improves the quality and consistency of the work a capable salesperson already wants to do.

It can assemble context from allowed sources, explain why an account may be relevant and prepare a grounded first draft. The seller remains responsible for the relationship and approves external communication until the workflow has earned a narrower form of autonomy.

Practical sales workflows

The best workflow depends on the sales motion. A short inbound cycle needs fast qualification and routing; a considered B2B sale benefits more from research, stakeholder mapping and disciplined follow-through.

• Enrich and summarise inbound leads using permitted business sources
• Prioritise accounts against explicit fit and intent criteria
• Prepare meeting briefs with source links and open questions
• Turn call notes into CRM-ready fields and action lists
• Draft follow-ups that reflect the actual conversation and next step

Make the reasoning inspectable

A score without an explanation is difficult to trust. We design sales agents to show the signals behind a recommendation, distinguish known facts from inference and flag missing information. That helps a seller make a faster decision without pretending the system knows more than it does.

Access should follow the principle of least privilege. The agent does not need every mailbox, every account or permission to send messages on day one. Read-only research and draft preparation are often enough to demonstrate value safely.