Pegasus Agentic OS
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AI Transformation · Technology, SaaS and media

Enterprise AI for support, security reviews and renewals.

For software, SaaS and digital media companies: agents that resolve support tickets, answer security questionnaires and review contracts, alongside AI for churn risk, billing and always-on account-based marketing.

programmes/saas.yaml
# Enterprise AI programme · B2B SaaSindustry: saasfunctions:  revenue:    agents: [account-research, churn-risk]  support:    agents: [ticket-triage]  finance:    agents: [usage-billing-reconciliation]  security:    agents: [security-questionnaire]  legal_and_audit:    agents: [contract-playbook-check, audit-evidence]controls:  approval: named_person  audit_log: every_run  data: stays_in_your_stackowner: your_team  # documented and handed over

Written for

CRO or VP Sales, Head of GTM or Revenue Operations and Head of Growth

The question you came with

Why is sales working a cold list while product-qualified leads sit in the warehouse?

Part of Enterprise AI Transformation

Where it starts in SaaS. The first work handed to agents: support resolution agent, security questionnaire agent and contract review agent. Each one drafts or flags, and a named person approves.

See the whole programme

What breaks in SaaS commercial teams

Patterns, not anecdotes. If two of these are true, the rest of this page is about you.

Product-qualified leads sit in the warehouse while sales works a cold list.

Self-serve sign-ups and sales-led deals live in different systems with different numbers.

Reps research every account by hand before every call.

Churn risk shows up in the renewal call, not three months before it.

Who we work with

The three people who feel these problems first, and what each of them gets from the system.

CRO or VP Sales

Owns new ARR and the forecast

Judged on
New ARR, win rate and a forecast the board can check.
What changes for them
Reps work accounts that are already using the product, with a brief attached, instead of a cold list.

Head of GTM or Revenue Operations

Owns the funnel and the forecast

Judged on
ARR growth, efficiency and a forecast leadership believes.
What changes for them
One funnel and one set of numbers from sign-up to expansion, without growing the ops team first.

Head of Growth

Owns self-serve and expansion

Judged on
Self-serve conversion, activation and expansion revenue.
What changes for them
Product signals reach sales the same day, not at the quarterly review.

Product usage, turned into pipeline

Usage and fit are scored together every night, so reps start the day with accounts that are already in the product, and the reason they are worth a call.

  1. Usage, joined to the account.Read from your warehouse or product analytics and matched to the right company in the CRM.
  2. Fit, so noise stays out.A busy free team at a tiny company does not jump the queue ahead of an ICP account.
  3. Routed with the reason.The right rep gets the signal, the seat count and a research brief in one alert.

What we build

The foundations, the agents across your operations, and the revenue agents, shaped for SaaS. Each agent drafts or flags, and a named person approves.

Foundations

  • Product, billing and CRM data joined

    Usage, subscriptions and accounts in one model, so every team reads the same customer.

  • Forecast and retention reporting

    Revenue, churn and expansion reported from one definition.

More on Data and AI Foundations

Agents across operations

  • Support resolution agent

    Resolves common tickets from docs and account data, and hands the rest to support with context.

  • Security questionnaire agent

    Drafts answers to security and compliance questionnaires from your approved library.

  • Contract review agent

    Checks customer contracts and DPAs against your standard terms.

Find your agent

Revenue agents

  • Churn-risk agent

    Flags accounts at risk from usage and support signals, with a brief for customer success.

  • Always-on ABM agents

    One agent per target account, from research to a meeting booked on a rep's calendar.

More on revenue agents

Where we start in SaaS

The review comes first. After it, this is the Core program focus we recommend for SaaS teams.

Step 1

AI transformation review

$1,500, credited to your first month. We map your stack against the six layers of Agentic OS and check it for the product-signal and funnel gaps on this page. You keep the findings whether or not you work with us.

Step 2 · Recommended

Core program: revenue intelligence

$4k–6kper month

Know which accounts are ready for sales, and why.

  • Usage and fit score from your warehouse, written to the CRM every night.
  • PQL routing to the right rep, with the reason and the seat count attached.
  • A research brief before every first call, checked by the rep.

Signals we watch

Changes that mean an account is worth a conversation now, matched to your ICP and written to the CRM with the reason.

Usage spikesSeats near plan limitHiring in key ICP rolesNew tools in the stackFunding roundsChampion job changes

Questions

Can you use product data from our warehouse?

Yes. We read from the warehouse or product analytics you already run and write scores back to the CRM. Nothing is copied into a tool you do not control.

Do you handle self-serve and sales-led together?

Yes. The point is one definition from sign-up to expansion, so both motions report into the same funnel and nobody argues about whose number is right.

Which tools do you build with?

Your CRM, usually HubSpot or Salesforce, your warehouse or product analytics, and your sequencer. A new tool is recommended only where there is a real gap.

AI transformation for the agentic engine era

Start with a fixed-fee AI transformation review. We map your systems, data and teams against the six layers of Pegasus Agentic OS and name the first workflows to hand to agents. You keep the findings whether or not you work with us.