The client came to us with a problem that's almost universal in B2B SaaS: a well-trafficked website, a growing inbound pipeline, and a conversion rate that had been stubbornly flat for 18 months. The leads were there. The product was strong. The bottleneck was in the gap between interest and conversation — and LeadFlow was designed to close it.
The Client: A Series B B2B SaaS Company
Our client — a Series B workforce management platform serving mid-market companies — was receiving approximately 380 inbound enquiry form submissions per month. Their SDR team of four was handling follow-up manually, prioritising leads based on company size and job title. Average response time was 5.4 hours. Qualified lead conversion (form submission to booked demo) was running at 14%.
The problem wasn't lead quality. It was timing and consistency. Studies consistently show that lead conversion probability drops by 80% after the first hour. At 5.4 hours average response, they were competing against that curve every single day.
What LeadFlow Does
LeadFlow is Auriforce's AI agent built specifically for inbound lead management. It integrates directly with Salesforce and the client's website form, triggering within seconds of a submission. It engages the lead in a natural conversation — confirming their challenge, asking qualifying questions, and booking a discovery call if the lead meets ICP criteria.
Critically, LeadFlow doesn't just respond — it qualifies. By the time the lead reaches an SDR, LeadFlow has captured company size, current tooling, timeline, budget authority, and specific pain points. The SDR's first call is a qualified conversation, not a discovery call.
The 90-Day Journey
Setup, Integration, and Calibration
LeadFlow was integrated with Salesforce and the client's HubSpot form in week one. The ICP criteria were configured based on their existing closed-won data — job title, company size, industry verticals, and budget signals. The first two weeks ran in shadow mode: LeadFlow engaged leads but handed off immediately to the SDR team, who reviewed every interaction. By day 30, the qualification logic had been refined twice based on SDR feedback. Average response time dropped to 47 seconds.
Autonomous Qualification Live
LeadFlow went fully autonomous on qualified leads. ICP-matching leads were engaged, qualified, and booked directly by the agent without SDR involvement. Non-ICP leads were politely disqualified and directed to self-serve resources — freeing SDR time entirely for the pipeline that mattered. Conversion rate at day 60: 29%. The SDR team reported they were spending 70% more time on calls — because they were no longer spending time chasing cold enquiries.
Optimisation and Expansion
Based on the first 60 days of conversation data, Auriforce optimised LeadFlow's qualification questions and booking flow. Two new lead sources were added (LinkedIn and webinar registrations). By day 90, form-to-demo conversion was running at 43% — a 3.07× improvement on the 14% baseline. The SDR team had shifted focus from outbound prospecting to accelerating the inbound pipeline, and pipeline velocity improved by 38%.
"We thought we had a lead quality problem. We had a response timing problem. LeadFlow solved it so completely that we expanded the programme to two other product lines within the first quarter."
— VP of Sales, Series B Workforce Management SaaS
What Made the Difference
The 3× improvement wasn't the result of any single change. It came from the combination of four things working together:
- Speed: 47-second response vs 5.4-hour response. The lead was still at their desk. Still thinking about the problem. Still motivated to solve it.
- Personalisation: LeadFlow referenced the specific challenge they described in their form submission, not a generic opening.
- Qualification before booking: the SDR's time was protected for conversations that had a genuine chance of closing
- Consistency: LeadFlow asks the same quality questions at 3am on a Sunday as it does at 9am on Monday — human teams can't match that
What Happened to the SDR Team
Nobody was made redundant. The four SDRs shifted from reactive lead response to proactive pipeline acceleration — following up on stalled deals, running outbound to identified accounts, and spending more time on the conversations that matter. Morale improved. Quota attainment improved. The team's role became more strategic and more satisfying.
This is the pattern we see consistently across LeadFlow deployments: AI agents handle the repetitive, time-sensitive tasks; humans handle the nuanced, relationship-intensive ones. Both sides of the equation improve.
Losing leads to slow follow-up?
LeadFlow deploys in weeks and typically shows measurable conversion improvement within the first 30 days. Let's talk about your inbound pipeline.
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