02 · CONVERT
AI REVENUE SYSTEMS
Turn enquiries into opportunities and customers. Turn demand into qualified opportunities, meetings, proposals and customers through connected prospect intelligence, CRM and sales workflows.
01 THE PROBLEM
WHAT GETS IN THE WAY TODAY.
Four common AI Revenue Systems problems. Which ones sound like your business?
Leads wait too long for a reply.
By the time someone responds, the buyer has spoken to a competitor or lost interest.
The CRM is not trusted.
Records are incomplete, duplicated or out of date, so reports and forecasts are guesses.
Qualification is inconsistent.
Each person judges fit differently, and senior time goes to the wrong conversations.
Follow-up depends on memory.
Leads that are not ready today receive nothing useful, and stalled deals are noticed too late.
02 WHAT WE BUILD
ONE CONNECTED SYSTEM.
Six building blocks for the convert stage, shaped around your process, data and goals.
A revenue system that responds quickly, qualifies consistently and gives you a pipeline you can trust.
- Every enquiry recorded, acknowledged and routed
- A shared, transparent definition of a qualified lead
- Good leads kept warm until they are ready to buy
- Pipeline reports leaders can rely on
Ideal Customer System
Define ICP, account criteria, buying signals and qualification logic.
Prospect Intelligence
Research, enrich and contextualise target accounts and contacts.
Qualification & Scoring
Apply transparent fit and intent criteria before routing leads.
CRM Orchestration
Create records, stages, tasks, ownership and follow-up logic.
Follow-up
Support personalised, governed engagement and meeting workflows.
Revenue Attribution
Measure source, stage progression, conversion and commercial outcomes.
WHAT THIS INCLUDES
Revenue workflow design, CRM configuration and integration, qualification model, nurture and meeting flows, and pipeline reporting.
WHAT IT DOES NOT INCLUDE
Buying contact lists, uncontrolled mass outreach, or sending messages without consent where consent is required.
03 HOW IT WORKS
EVERY STEP HAS AN OWNER.
Follow the convert work from the first signal to the final result.
- AUTOMATIONLead captureForms, email and chat into one CRM record
- AI ACTIONEnrichment and fit scoreRecommended score with reasons
- EXCEPTIONLow-confidence leadsQueued for review, never guessed
- HUMAN APPROVALQualification decisionSales owns high-value leads
- AUTOMATIONNurture and meetingsSequences and booking by intent
- KPIPipeline and revenueStage conversion and win rate
Capture → enrich → qualify → nurture → meeting → pipeline. Example architecture; your fit model and owners are agreed during the System Blueprint.
04 WHERE HUMANS APPROVE
CLEAR ROLES. VISIBLE CHECKS.
Who does what in AI Revenue Systems: AI, automation and people.
AI DOES
Classify enquiries, enrich records, recommend fit scores with reasons, prepare call briefs, summarise meetings and draft follow-ups.
AUTOMATION DOES
Create and update CRM records, route leads, send acknowledgements, run approved sequences, book meetings and keep deal stages current.
PEOPLE APPROVE
Own high-value qualification, every real sales conversation, pricing, scope, discounts, proposals and commitments.
05 WHAT YOU MEASURE
MEASURE WHAT MATTERS.
The convert measures we agree with you. Targets come only after a starting baseline, so no numbers are promised here.
| MEASURE | WHAT IT SHOWS | HOW IT IS MEASURED |
|---|---|---|
| Time to first response | Minutes or hours from enquiry to a useful reply | CRM timestamps, compared with the baseline |
| Lead-to-meeting rate | Share of qualified leads that book a meeting | CRM lifecycle stages |
| Proposal-to-win rate | Share of proposals that become customers | Deal stages and outcomes |
| Record completeness | Share of records with required fields filled | CRM data quality checks |
| Forecast accuracy | Forecast compared with actual closed revenue | Weekly pipeline snapshots |
06 THE FIRST STEP
START WITH ONE WORKFLOW.
Example systems for the convert stage. We map one, fix it, then add AI where it helps.
Revenue System
Capture → enrich → qualify → approve → follow up → pipeline.
SEE THE SYSTEM EXAMPLE SYSTEMClient Onboarding System
Deal won → intake → tasks → communication → delivery hand-off.
SEE THE SYSTEM EXAMPLE SYSTEMManagement Reporting System
Collect → validate → analyse → summarise → review → distribute.
SEE THE SYSTEM07 THE NEXT STEP
START YOUR AI REVENUE SYSTEMS SYSTEM.
Tell us where convert work breaks today. We will map it and suggest the first workflow to fix.