02 · CONVERT
AI REVENUE SYSTEMS
We set up a simple way to record every enquiry, assign it to someone and remind them to follow up. You can see which enquiries turn into meetings, proposals and sales.
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 customer records are unreliable.
Records are incomplete, duplicated or out of date, so reports and forecasts are guesses.
People judge enquiries differently.
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.
We set up the parts your sales team needs to respond and follow up.
A clear way to reply quickly, decide which enquiries are a good fit and see what still needs attention.
- 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
Agree who your best customers are and what makes an enquiry a good fit.
Prospect Intelligence
Find useful information about businesses and people who may need your service.
Qualification & Scoring
Use clear rules to decide which enquiries to follow up and who should handle them.
Customer records and follow-up
Keep contact details, next steps, deadlines and the person responsible in one place.
Follow-up
Help your team send useful replies and book meetings, with a person checking important messages.
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
HOW THE WORK MOVES FORWARD.
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
TURN MORE ENQUIRIES INTO SALES.
Tell us how you handle new enquiries and where they get missed. We’ll suggest the first improvement.