Your team spends half its week on work that is not selling.
What it costsExpensive people doing research, notes and data entry.
What changesAgents prepare the briefs, notes and CRM updates. People sell.
Revenue OS · AgentsAI agents
We design, build and run AI agents across the whole revenue cycle: acquire, convert, retain and expand. Research, qualification, CRM hygiene, renewals and competitor watch, each one inside your tools, showing its sources, and handing anything that matters to a person.
# Account research agentagent: account-researchtrigger: meeting_booked # 24 hours before the callreads: - crm: [account, contacts, open_deals, last_activity] - web: [company_site, news, filings]writes: - crm.note: brief # draft, marked unreviewedreview: required: true by: meeting_ownerguardrails: cite_sources: true never: [email_prospect, change_stage]logging: every_runmodel: your_approved_provider// One run of the research agent: gather, draft, hand to a personexport async function runResearch(meeting: Meeting) { const account = await crm.getAccount(meeting.accountId); const sources = await web.search(account.domain, { recentDays: 90 }); const brief = await model.draft({ template: "account-brief", inputs: { account, sources }, citeSources: true, }); await crm.addNote(account.id, { ...brief, status: "needs_review" }); await notify(meeting.ownerId, `Brief ready for ${account.name}`); await log.run({ agent: "account-research", accountId: account.id, sources: sources.length });}# Evaluation: re-run after every change, reported to youagent: account-researchtest_set: 40 real past meetings # built with your teamchecks: - facts_match_sources: required - no_invented_people: required - brief_under_250_words: required - rep_rating: ">= 4 of 5"release_when: all_required_passreport: weeklyTwo people usually sign off on AI agents: the revenue leader who wants the time back, and the technology leader who has to trust it. Here is what each of them is dealing with.
For CROs and VPs of Sales
What it costsExpensive people doing research, notes and data entry.
What changesAgents prepare the briefs, notes and CRM updates. People sell.
Revenue OS · AgentsWhat it costsBrand damage, and a contract you regret.
What changesAgents draft, people approve and send. Nothing reaches a buyer unreviewed.
Revenue OS · AgentsWhat it costsWarm buyers cool off, or book with someone else.
What changesAn assistant answers, qualifies and books, then hands over to a named person.
Revenue OS · FlowFor CTOs, CIOs and Heads of AI
What it costsBudget spent, and nothing to show the board.
What changesOne agent at a time, with a test set and pass criteria before go-live.
Revenue OS · LoopWhat it costsSecurity and compliance exposure you cannot see.
What changesAgents run inside your stack, through the provider and region you approve.
Revenue OS · AgentsWhat it costsLock-in, and a rebuild if you ever leave.
What changesPrompts, code and evaluations live in your repo. You can switch provider.
Revenue OS · ContextWhat it costsYou cannot defend it to an auditor or a customer.
What changesEvery run logged, every source shown, every change versioned.
Revenue OS · LoopFive of the agents revenue teams ask for most. Each one is reviewed by a person before anything important leaves.
A brief before every first call, with the sources it used, checked by the rep.
Answers first questions on your site, books the meeting, and hands over to a named person.
Finds duplicates, gaps and stalled deals, fixes the safe ones, and asks before anything risky.
Turns a recorded call into a summary and the CRM fields reps forget to fill in.
First drafts from your past proposals and scope templates, edited and sent by a person.
The same loop for every agent we build: a trigger, the work, a person, a record, and a weekly check on quality.
Anything sent to a customer, any price and any risky change is approved by a named person. You decide what an agent may do on its own.
Every brief, summary and draft links to what it was built from, so a rep can check it in seconds.
Every run is recorded. Each agent has a test set built from your real cases and is re-checked after every change.
Agents run in your stack, through the model provider and region your security team approves. Prompts and evaluations live in your repo.
The Pegasus agent system
Sixteen agents across acquire, convert, retain and expand, all running on one CRM, one set of signals and one set of review rules.
Find the right accounts and start the right conversations.
Public sources and CRM history condensed into a brief before each call, with citations.
Hiring, funding, leadership changes and site visits matched to your ICP and routed to the owner with the reason.
Personalised first drafts built from the signal and the brief, approved and sent by a rep.
Answers first questions on your site or chat, qualifies, books a meeting and hands over to a named person.
Keep the pipeline clean, current and honest.
Duplicates, missing fields, bounced emails and stalled deals found daily, with safe fixes applied and the rest queued.
Recorded calls turned into a summary and the fields reps forget: next step, decision date, budget owner.
Stalled deals, slipped dates and missing next steps flagged every week, with a forecast note for the manager.
First drafts of proposals, RFP answers and security questionnaires from your approved answer bank, edited and sent by a person.
Keep the revenue you already won, and grow it.
Usage, tickets and billing combined into a health score, with at-risk accounts flagged to the owner every week.
A renewal brief 90 days out: value delivered, open issues, stakeholders and the risks to address.
New customers tracked against their first milestones, with nudges drafted when one slips.
Growth in seats, usage, hiring or new sites surfaced as upsell and cross-sell openings for the account owner.
Know what your market and competitors did this week.
Target and customer accounts researched continuously, with changes written to the CRM and a brief on request.
Competitor websites, messaging, launches, job posts and reviews tracked, with what changed summarised weekly.
Competitor pricing and packaging changes detected and summarised, with suggested responses for a person to review.
A weekly market and pipeline briefing for the CEO, CRO and CMO, delivered to Slack or email.
Each sprint ships a working set of agents in your stack, scoped in writing before we start. The price depends on your systems and data, and is agreed after the review.
$15k–25kfixed price
Know who to talk to, and why now.
Signal detection, account research and enrichment across providers.
Account scoring and CRM updates, with the reason recorded.
Rep briefs, outbound drafts and weekly reporting.
$20k–30kfixed price
See churn coming, and walk into every renewal prepared.
Usage, tickets and billing combined into one score per account.
Renewal briefs and churn-risk alerts to the account owner.
Onboarding follow-through and expansion signals in the CRM.
$20k–35kfixed price
Your market, competitors and key accounts, watched every day.
Competitor, pricing and market monitoring with change detection.
Account intelligence and trigger detection on your target list.
A weekly executive briefing, delivered to Slack and the CRM.
The same four steps whatever we build. The first one is small, fixed-fee and useful on its own.
The provider your security team approves, such as Anthropic or OpenAI models, in the region you need. Prompts and evaluations live in your repo, so you can switch provider without starting again.
Only if you decide they should, and only after they have earned it on a measured test set. By default every outbound message is drafted for a person to approve.
Each one has a test set built from your real cases with clear pass criteria. You see the results before go-live, and they are re-run after every change.
Model usage is billed by the provider directly to you. We estimate it in the scope and set alerts, so it cannot surprise you.
No. Agents use your data at the moment they run, inside your systems. Nothing is used to train a model unless you choose a provider and setting that does.
Start with a fixed-fee GTM systems review. We will tell you which agent or sprint is worth building first, and which ones are not.