Selling is a few human conversations wrapped in a mountain of repeatable work: research, list-building, first touches, inbound, proposals, CRM hygiene. An AI-native sales function puts the whole machine on a workforce that runs it continuously, while every send and every commitment still waits for a rep.
Installed in about 20 min. Governed and audited from the first run.
Every stage of the motion is worked by the right kind of worker (an unattended play, a team that faces your market, a room of specialists), all reading and writing one shared record, with your reps at the gates that matter.
You don't wire this together or choose an architecture. You describe the outcome; the workforce brings the right kind of worker to each part of the motion, and they all work from one shared record, under one set of rules.
The repeatable plays (research an account, build the brief, draft a sequence) run start to finish on their own, unattended, overnight.
Inbound chat and replies are met in the moment by a market-facing team that answers from your docs and books the meeting, and escalates the second it isn't sure.
When a deal needs a proposal, competitive positioning and pricing at once, a room of specialists assembles it together, each owning its part.
You don't operate a dashboard. You talk to one coworker that runs the desk, remembers your standing instructions, and surfaces only what needs you.
Every worker reads and writes the same accounts, scores and deals, and every one obeys the same gates, budgets and audit. No worker is ever off the leash.
There's no integration project and no architecture to pick. You delegate the outcome, the workforce assembles the right workers, and every one of them lands under the same gates and audit.
Run the math: six reps at twenty genuinely researched accounts a day is 120, so one pass over a 5,000-account list takes two quarters and it's stale before you finish. The workforce runs the whole motion continuously and hands your reps the judgment. The week shifts like this (a worked scenario, not a benchmark):
Every target account enriched, briefed and scored against your ICP overnight, with the reasoning written next to the number, not just a rank. Coverage stops being a headcount problem.
Site and reply traffic is qualified and booked when it lands, 2 PM or 2 AM, grounded in your docs and escalated the instant it isn't sure. The lead never goes cold in a queue.
When a deal is ready, the proposal, the competitive positioning and pricing to your floor are drafted together in an hour, and every client-facing piece still waits for a rep.
The CRM stays clean without a rep babysitting it, and every run's spend rolls up, so cost per booked meeting is a number in the morning briefing, not a feeling defended in the QBR.
Sasha isn't a dashboard you operate, it's the coworker you delegate the desk to. The night's scoring, the inbound that came in, the deal that's ready: it arrives summarized, the pieces that need a rep are already queued with their context, and each approval releases exactly one thing.
Every message, tool call and approval in this exchange lands in the audit trail. How the gates work →
A scenario: a B2B company with a 5,000-account ICP list, six reps, and inbound that never stops. These are real screens, not mockups.
First touches and full proposals alike hold at the approval gate, enforced at the tool call, at runtime, so an unapproved send is a no-op. Each approval is single-use: one grant, one send, 24-hour expiry. The domain and the brand stay protected at scale. How approvals work →
A prospect's reply is untrusted input, so a prompt-injection shield screens inbound text before it reaches a model. Drafts stay grounded in your own docs and notes, cited; an account the docs can't ground escalates instead of getting a guess. The control plane →
Every score, draft, approval and send lands in the audit trail, pinned to the config version that ran, and every run's spend rolls up under budgets with hard caps, so cost per booked meeting is a number you read, not estimate.
