Sales OS is an agentic sales operating system we built for Antino's consulting sales team. Six AI agents handle the boring half of selling — sourcing, drafting, briefing, proposals — over a live mirror of their Zoho CRM and Microsoft stack. Reps spend their day on the half that matters: relationship, advice, the close.
Antino's sellers run long, custom, consultative deals — the kind where context is everything. But the day started in three systems. One rep alone owned 6,413 accounts in Zoho, too many to read top to bottom every morning. Hours vanished into logging, lookups, and "what was I supposed to do for this account again?"
Antino's real operating baseline — the busywork Sales OS was built to collapse.
Each agent maps one-to-one onto a real task in the seller's day. They draft; the human decides. Built as single-call, workflow-shaped Claude work with structured outputs — no black box.
Senses the field. Scores each lead and recommends the next touch, enriched from the account's full history.
Speaks back in the rep's voice, grounded in the deal and past wins. Drafts the reply; the rep approves the send.
Present at every call — captures what was promised and what's owed next, so nobody types notes again.
Builds first-meeting decks from real won-deal evidence, then self-audits 21 ways before a human ever sees it.
Points the rep north at the start of the day. Frames it in money, names the top few moves, gives permission to skip the rest.
Reflects one engagement onto adjacent prospects — ships a polished case-study deck grounded in delivered work.
Everything else is supporting infrastructure. The agents do the drafting inside these loops; a human approves the steps that leave the building.
For a consulting team, the relationship is the product — so trust is enforced in the architecture, not just the copy.
There is no SENT_AUTO state in the schema. The only path to a sent message is a human click through an authenticated action. The guarantee is structural, not a setting.
Every state-changing action writes to an append-only, hash-chained log. Nothing the agents do is invisible, and nothing can be quietly edited after the fact.
A tokenisation pass runs before every model call, so prospect and account data isn't handed to a third party in the clear.
Forge cites real past-project evidence from the catalogue and self-audits 21 ways. Zero hallucinated case studies — an assertion with a check behind it.
Honest about the n: these are early results from the first team to run it. Numbers aren't padded.
Operating scale (6,413 accounts · 12,643 emails · 70 past clients · 77 projects) reflects Antino's actual mirrored data. Productivity figures are early pilot results across a 15-rep team and stated as such — leading indicators, not audited ROI. Cost and latency are measured against the deployed build. Full detail under NDA.
Sellers shouldn't be data-entry clerks for their CRM. The CRM should write itself — and let the human keep every decision that's actually theirs to make.
If your team is losing its day to lookups, logging, and assembly, there's an agentic system to be built around it. Tell us the workflow — we'll scope it in 48 hours.