Revenue Automation Agents: 8,000 Leads a Month, Conversions Up 31%
Qualification, proposals, scoring and follow-up ran as four disconnected manual processes. Wiring them into one agent chain removed 68% of the manual load without removing the judgement.
- Client
- Enterprise sales organisation
- Industry
- Enterprise sales
8,000+
Leads per month
+31%
Conversion rate
-68%
Manual sales workload
End-to-end
CRM-integrated pipeline
The problem
The sales operation had four bottlenecks that fed each other. Qualification was manual and inconsistent between reps. Proposal generation took hours per opportunity and reused the wrong boilerplate as often as the right one. Opportunity scoring was a spreadsheet nobody trusted. Follow-up depended on someone remembering.
At 8,000 leads a month, the arithmetic did not work. Reps spent most of their time on process and the rest on selling, and the leads that fell through were not the bad ones — they were the ones that arrived on a busy day.
What we built
A qualification agent that reads inbound leads against the criteria the team actually applies — not the criteria written down — and produces a structured verdict with its reasoning attached, so a rep can disagree with it and see why it decided what it did.
A proposal agent that assembles documents from a component library selected by deal shape, populated from CRM data, with structured outputs so the result is consistent rather than creatively different every time.
An opportunity scoring model over historical outcomes, and a follow-up agent that owns sequencing and timing, with intelligent routing deciding what proceeds automatically and what needs a human before it moves.
All of it runs on the OpenAI API through secure, API-driven workflows with CRM integration in both directions, so the system reads current state and writes back what it did.
Where we drew the line
The agents qualify, draft and schedule. They do not send a proposal to an enterprise buyer without a person seeing it, and that was a deliberate constraint rather than a technical limitation.
Above a deal-size threshold every artefact is reviewed. The automation removes the two hours of assembly, not the ten minutes of judgement, and the ten minutes is where the deal is actually won.
Results
The pipeline processes more than 8,000 leads a month end to end. Conversion improved 31% and manual sales workload dropped 68%.
The conversion gain came less from cleverness than from consistency: every lead now gets qualified the same way, and follow-up happens on schedule rather than when someone remembers. The leads that used to fall through on busy days stopped falling through.
What we'd flag
A 31% conversion gain is only available to a team leaking that much through process inconsistency. A disciplined operation with reliable follow-up would see a smaller gain from the same system, mostly in time returned rather than conversion.
The CRM integration is the part that determines adoption. Reps trust a system whose record of activity is visibly complete; where write-back is patchy they revert to their own notes, and the whole thing decays within a month.
