The agent team

Hire a team that reads everything and forgets nothing.

Seven agents and an assistant, each with a name, a schedule, and a job description — working your revenue between meetings and overnight, under rules enforced in code.

Scribe

Runs on every synced inbound email

Turns your inbox into structured pipeline intelligence.

Classifies every email — pipeline signal, personal, vendor noise, internal ops — and extracts typed signals: new stakeholders, timelines, budgets, competitors, commitments made by either side, risks, and who's waiting on whom.

Every extracted signal carries a verbatim quote from the email it came from. Proposes new contacts and close-date changes into your approval queue — it never writes them itself.

Prep

Fires about two hours before every external meeting

Walks you into every room already briefed.

One screen: the single objective for the meeting, the deal's current state, what changed since last contact, and who's in the room — each attendee's stance, with a flag for anyone you've never met.

Exactly three talking points and at most two risks to probe. If a stance can't be backed by a verifiable quote, it says “no signal yet” instead of guessing.

Sentinel

Nightly on every open deal, plus material events

The deal-health conscience of the pipeline.

Grades health as a category — green, yellow, red — backed by evidence, because a two-decimal health score is fake precision. Runs eight named risk checks and names THE single next action.

Fills gaps in your win plan with evidence-backed suggestions rendered under the field they target — and when the record contradicts what you wrote, it says “Sentinel questions this.” Your click is the approval.

Delivery Sentinel

Nightly on every active project

The same discipline, pointed at delivery.

Watches for milestones slipping, unstaffed weeks ahead, budget overrun risk, burn running ahead of plan, and clients gone quiet.

Proposes a concrete project task to defuse each risk — into the same approval queue as everything else.

Forecast

Monday mornings

Narrates the month without ever inventing a number.

Annotates the forecast in 120 words or fewer. Every figure it cites is pre-computed by the system and handed to it as a numbered fact — the narrative must cite those facts, and citing one that doesn't exist fails the run.

The published note discloses its run id, with every computed fact it cited one click away.

Chief of Staff

Every weekday at 7:30am

The morning briefing the whole team actually reads.

A headline on ARR versus pace, then at most three ranked items that need a human today — each with a button that takes you straight to the work — plus what the agents did overnight.

Hard-capped at 250 words. If an item can't produce its evidence, the item is dropped, not the standard.

Ghostwriter

On Sentinel's recommendation, a button, or the hourly post-meeting sweep

Drafts follow-ups in your voice, not a robot's.

Studies your real sent mail — tone, greeting, sign-off, sentence length — and drafts one clear ask per email. Anything it inferred rather than knew is flagged in an uncertainty note.

Drafts are permanently approval-first. Once you approve, the email sends from your own mailbox — not a noreply address.

Assistant

Whenever you ask

Conversational access to everything, with the same guardrails.

Ask across live sales and delivery data: accounts, contacts, deals, pipeline and forecast summaries, projects, capacity, tasks.

Its only write path is proposing an action into your approval queue — the Assistant follows the same constitution as every other agent.

Governance

AI you can hand your pipeline, because it can't act alone.

Most AI features ask for trust. Ours is built so you don't have to extend any: every claim proves itself, every action waits for a human, and every field answers “why?”. Here's an agent proposal exactly as your team sees it — the claim, the verbatim source, and the buttons.

The quote gate is code, not a prompt

After an agent writes a claim, the system checks its quote verbatim against the source material. No match, no signal: the claim is dropped before anyone sees it. Prep downgrades an unverified stance to “no signal yet”; the briefing drops the whole item.

One write path, permanently gated

proposeAction() is the only way any agent touches the world. Outbound email and invites are hard-capped at draft-and-approve — the setting that would automate them refuses to exist.

Provenance on everything

Every agent-written field is stamped with the run that produced it. Any insight answers “why?” in two clicks: the evidence, then the run. Humans own stage, amount, and status — agents write analysis only.

Trust you dial up, with receipts

Per action type, you choose: disabled, draft-and-approve, auto-with-notification, or silent — and next to each dial sits the evidence: how often humans approve that action, and how often untouched. Promotion is always a human decision.

Agents learn from your edits

Every edit-before-approve and every rejection reason is fed back into that agent's next run as a worked example. The team gets better at working for you without a day of training.

Hostile input, fenced

All synced external content is wrapped in untrusted-data markers before any model sees it, with look-alike markers neutralised — so a hostile email can't talk its way into an action. And even if it could, it still lands in your approval queue.

Spend is governed like money

Every workspace sets a daily AI budget enforced before any model call. Over budget, jobs are skipped and say so — costs can't fail open, and one team's overrun can't silence another's briefing.

A full audit console

Seven days of every run: per-agent counts, failure rates, token usage, cost against budget, and drill-down into any individual run. Your AI team is the most auditable team you have.

Meet your new team.

Watch the agents work a live pipeline — and watch every one of their claims produce its source.