Onkar Muḷē

Ren.

Case study coming soon.

Most tooling that puts AI agents inside a sales org hands them a CRM login and trusts the prompt. That holds until an agent shifts a close date, writes over an edit a rep made an hour earlier, or sends a prospect an email nobody approved. My view is that if agents are going to touch pipeline, the write path deserves what any serious system-of-record integration gets: a policy layer, a full audit trail, reversibility, and a person in the loop wherever the stakes are real.

Ren is a sales-ops platform built on that premise. Everything rests on one split: proposing a change and applying it are separate jobs, handled by separate services. Agents read signals and emit proposals, and they hold no write credentials. A single service, the Policy Gate, checks every proposal against its guardrails and resolves it in one of three ways: apply now, hold for a human, or block. Salesforce stays canonical. Every applied write is logged and reversible in a single step, and nothing reaches a customer without explicit sign-off.

The agents are the least interesting part. What matters is the boundary they sit behind, and what it takes to run an autonomous build loop against infrastructure you have to be able to trust. A fuller write-up is on the way.