The problem this solves
Breeze is enabled and underwhelming: prospecting messages that could be about any company, summaries built on empty records, recommendations that ignore how you sell. The cause is almost never the AI, it is that your emails, notes, and history live in an old CRM or in inboxes, so Breeze has no context from your actual relationships to work with.
How we work
We start where the value actually is: context. Breeze reads your CRM, so we audit what it can currently see (contact and company completeness, activity history, deal hygiene) and fix the feeding first: migrating or syncing the history that matters, wiring enrichment, tightening the properties Breeze features draw on. An agent with real context writes like it knows the account; one without writes like a template, and no configuration setting changes that.
Then we configure the Breeze surface for your process: Copilot conventions for the team, the agents relevant to your motion, Prospecting or Customer Agent, scoped and tested on real records, and Breeze Intelligence enrichment where data gaps starve the rest. Review flows keep humans on output that leaves the building.
We finish by training the team on what Breeze is good at, what to review, and what to ignore, because adoption follows trust, and trust follows output quality.
Deliverables
- Context audit: what Breeze can and cannot currently see
- Data feeding plan: migration, sync, and enrichment fixes
- Breeze agents configured and tested on real records
- Breeze Intelligence enrichment setup where scoped
- Review and approval flows for outbound AI output
- Team enablement session on working with Breeze