Your forecast is a negotiation.
What it costsThe board stops trusting the number, and you stop trusting it too.
What changesStage definitions with exit criteria, signed off by sales and finance.
Agentic OS · PulseAI Transformation · Revenue Operations
One record and one definition, so AI acts on the truth.
The data foundation every enterprise AI programme needs first: one pipeline definition, clean records, handoffs that do not drop, and reporting that reconciles with the system it came from.
# Stage definitions, signed off by sales and financeversion: v3stages: - name: Qualified exit_when: [budget_owner_identified, problem_confirmed] - name: Proposal exit_when: [scope_sent, decision_date_set] - name: Negotiation exit_when: [commercials_agreed] - name: Won requires: [signed_order_form]forecast: commit: "stage == Negotiation and close_date <= quarter_end"# Handoffs, each with a clock and an ownerhandoffs: - from: marketing to: sales trigger: lead.tier in [T1, T2] respond_within: 15m escalate_to: sales_manager - from: sales to: onboarding trigger: deal.stage == Won respond_within: 1d requires: [handover_note, signed_scope]alerts: channel: slack quiet_hours: false-- One pipeline number, by source and stageselect source, stage, count(*) as deals, sum(amount_usd) as value_usdfrom crm.dealswhere created_at >= date_trunc('quarter', current_date) and stage_definition = 'v3' -- the version sales and finance signed offgroup by source, stageorder by source, stage;Written for
Heads of revenue operations, CROs and finance leaders who sign off the number
The question you came with
Why does the pipeline number depend on who you ask?
Part of Enterprise AI Transformation
The foundation. Every AI agent reads your CRM. A clean record and agreed definitions come before any agent is switched on.
See the whole programmeWhat is breaking your revenue numbers
If two of these are true, the rest of this page is about you.
Marketing, sales and finance each have their own pipeline number.
What it costsMeetings spent arguing about data instead of deals.
What changesOne CRM design and one dashboard everyone reads.
Agentic OS · ContextThe CRM is full of duplicates and empty fields.
What it costsReps stop using it, and leaders stop believing it.
What changesA clean-up, enrichment with sources, and hygiene that runs every day.
Agentic OS · ContextLeads and customers drop between teams.
What it costsRevenue lost in gaps nobody owns.
What changesAn owner, a response time and an alert on every handoff.
Agentic OS · FlowPlays we build
Each one runs in your CRM and tools, and is documented so your team can change it. Lead routing and scoring sit in GTM Engineering.
Every record complete and current, with the source kept on the field.
One pipeline number everyone uses, broken down by source and stage.
Every handoff has a clock
Leads and customers get dropped between teams, not inside them. Each handoff gets an owner, a response time and an alert.
What stays yours
We build and hand over
- CRM configuration and its documentation
- Stage and field definitions, written down
- Dashboards and the logic behind them
You keep and control
- Your CRM and its data
- Every tool contract
- Admin access, in your name
What we build
The capability on the left, what your team would notice on the right.
- Architecture
CRM design and clean-up
Objects, fields, stages and ownership rules designed once. Duplicates merged, dead fields retired.
- Pipeline
Stages with exit criteria
Every stage means the same thing to every rep, so the forecast stops depending on who you ask.
- Handoffs
Marketing to sales to success
An agreed response time on every handoff, with an alert when a lead or account waits too long.
- Reporting
Dashboards that reconcile
Pipeline, conversion by stage, source attribution and forecast, built on definitions you signed off.
- Stack
Tool audit and consolidation
What each tool does, where they overlap, what to cut and what it saves.
- Enablement
Playbooks and adoption
Per-role training, recorded, and a check a few weeks later on who has gone back to the spreadsheet.
How an engagement runs
The same four steps whatever we build. The first one is small, fixed-fee and useful on its own.
Start with a fixed-scope offer
A fixed scope, a set timeline and a deliverable you keep. The quickest way to start.
Pilot
CRM Rescue for AI
A CRM clean enough for revenue agents to act on, and a team that uses it
- Time
- 6 to 8 weeks
- Price
- Fixed fee, agreed on a call
- For
- CROs, heads of revenue operations and sales leaders
The problem. The CRM is full of duplicates, empty fields and stages that mean different things, so any agent reading it will be confidently wrong.
What happens, week by week
- Weeks 1 to 2Audit
Duplicates, field usage, stage definitions, ownership rules and integrations reviewed against the workflows agents will run.
- Weeks 3 to 5Clean and redesign
Records merged, fields retired, stages given exit criteria, and ownership and routing rules written down.
- Week 6Reconnect
Integrations with billing, marketing and product usage fixed, so records stay correct.
- Weeks 7 to 8Adoption
One screen per role, recorded training, and a check on usage a few weeks later.
You get
- A clean, deduplicated CRM
- Stage and field definitions, signed off
- Fixed integrations and routing rules
- Role-based training and adoption check
Who signs off
Head of revenue operations, with sales and finance for definitions
What we need from you
CRM admin access, and a sales and finance owner for definitions
Not sure where to start? Begin with the AI Transformation Review: two to three weeks, $1,500, credited to month one.
Questions
Do we need to move CRM?
Rarely. Most CRM problems are data-model and adoption problems, and neither is fixed by switching software. If a move is the right answer, the review says so and it is scoped separately.
Which CRMs do you work in?
HubSpot and Salesforce, plus Zoho and Attio, as you run them today.
How long does a clean-up take?
It depends on volume and how many teams use the CRM. The review gives you a dated plan before anything starts.
Will the team actually use it?
Only if it is built for people who are already busy. Each role gets one screen and a short recorded walkthrough, and we check adoption after go-live.
Keep going
Where Revenue Operations fits your industry, what to read next, and the tools involved.
Industries we do this in
Playbooks
Tools we review for this
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.