Lead Qualification at Scale
Sales team time on pre-qualification reduced by 58%; qualified pipeline grew by 3.1x without adding headcount.
6-week build and integration. Live on primary channel in week 5; full multi-channel deployment by week 8. Performance review at 30 and 60 days.
The challenge
Sales capacity was being consumed by high-volume qualification work that didn't require human judgment — leaving too little time for the deals that did.
The operator's lead-to-qualified rate was approximately 18% — meaning that for every 100 inbound enquiries, 82 were either unqualified or abandoned before qualification was complete. The sales team of 5 people was handling all inbound contact manually, with no structured triage, no qualification scoring, and no mechanism to handle out-of-hours enquiries from international time zones. The cost per qualified lead was high relative to the conversion rate, and the team reported feeling constantly reactive — always catching up, never proactively managing a pipeline. The problem wasn't lead generation; it was lead processing.
What we did
The approach
We designed and deployed an AI qualification agent that handled first-contact enquiries across the operator's primary channels, gathered structured information, assessed qualification against defined criteria, and routed appropriately — either to a templated self-service information sequence, a scheduled call with the sales team, or an immediate handoff for high-priority enquiries.
Key findings & actions
Multi-channel intake
unified agent handling web form, WhatsApp, and social DM enquiries with consistent qualification logic regardless of entry channel
Structured qualification framework
12 qualification criteria covering procedure type, clinical eligibility signals, travel feasibility, budget range, and timeline — translated into a natural conversational flow, not a form
Lead scoring and routing logic
real-time score calculation triggering one of four routing outcomes: self-service information, nurture sequence, scheduled sales call, or immediate escalation
CRM integration
all qualification data and conversation transcripts pushed to the sales CRM, giving the sales team full context before any human interaction began
Out-of-hours and multilingual capability
24/7 availability with English and Arabic language support to capture international enquiries outside UK business hours
How we worked
Scope
Qualification framework design, AI agent configuration across three channels, CRM integration, routing logic, and sales team onboarding.
Timeline
6-week build and integration. Live on primary channel in week 5; full multi-channel deployment by week 8. Performance review at 30 and 60 days.
Operating model
Sales manager held qualification criteria ownership — any changes to routing logic required explicit approval. Weekly review of agent performance metrics in the first month. Handoff protocol clearly defined so sales team always received full context on escalated leads.
Outcomes
What changed
Sales team time on pre-qualification reduced by 58%; qualified pipeline grew by 3.1x without adding headcount.
Sales team time spent on pre-qualification conversations reduced by 58%, recovering approximately 22 hours per week across the team for pipeline-stage selling activity
Qualified pipeline volume increased by 3
1x within 90 days without adding headcount, driven by the agent's capacity to process enquiry volume that previously went unresponded to outside business hours
Average time from first enquiry to qualification decision reduced from 2
7 days to under 4 hours, improving response quality for international leads with short decision windows
Lead-to-qualified rate improved from 18% to 26% as the structured qualification process surfaced viable leads that had previously been abandoned in unstructured conversations
Governance
Trust, collaboration & governance
Qualification criteria owned and version-controlled by the sales team — the agent applied their logic, not ours
All escalation thresholds designed conservatively: clinical complexity, distress signals, and ambiguous eligibility all routed to human review
Conversation transcripts always available to the sales team before any call — no agent interaction was hidden from the team
Patient data handling reviewed against applicable data protection requirements before deployment
Reframe
The agent handled what could be templated; the team handled what required judgment.
Across every engagement, the goal is the same: engineer a system that makes better decisions — faster, more consistently, and at scale — than the process it replaces.
Next steps
Related services
Start a discovery
Most engagements begin with a conversation about context.
We do not send a proposal before we understand the problem. Start by telling us about your decision context — we will identify the highest-leverage intervention areas before any scope is agreed.