From cold outreach chaos to a self-running revenue pipeline.
Krato AI was burning ₹4L a month on manual lead qualification with no system behind it. Founders were spending 60% of their week chasing cold leads while warm ones went quiet. Six weeks later, deals were closing themselves.
₹4L a month. Zero system. Founders doing everything.
Krato AI had built a solid AI workflow product for mid-market SaaS teams. They had traction — early customers, decent NPS, a few warm intros in the pipeline. What they didn't have was a way to scale it. Every lead required a founder to personally reach out, qualify, follow up, and close. The pipeline was entirely person-dependent.
They were also haemorrhaging money on a sales tool stack that didn't talk to each other — Apollo for prospecting, Notion for tracking, Gmail for outreach, a spreadsheet for pipeline. Four tools, zero automation, and data scattered across all of them. Their average time to close was 34 days. Most deals weren't closing at all — they were just going quiet.
Build the engine. Then wire everything to it.
Week one was an ICP sprint. We interviewed their 6 closed customers, mapped exactly what they had in common — company size, tech stack, the trigger event that made them start looking — and built a lead scoring model that auto-qualified inbound based on those signals. For the first time, Krato knew which leads were worth pursuing before a single call was booked.
We then consolidated their stack — Apollo stayed for prospecting, everything else moved into HubSpot, connected via Make.com. Eight automation workflows handled the full lifecycle: lead enters → scored → sequence triggered → meeting booked → deal created → follow-up sent → close task assigned. Founders only touched a deal at the final negotiation stage.
We also built a 5-step nurture sequence for leads who engaged but didn't book — something Krato had never had. Those sequences alone recovered 11 leads in the first month that would previously have gone cold permanently.
Deals started closing while the founders slept.
Within six weeks of go-live, MRR had grown 3.2×. Average time to close dropped from 34 days to 11. CAC fell 58% because qualified leads were now the only ones entering the pipeline — unqualified leads were filtered before any human time was spent on them.
The founders reclaimed roughly 25 hours a week between them. That time went into product. Two months after handover, Krato shipped a feature their top customers had been requesting for months — and closed three of their largest deals off the back of it.
Every deliverable, handed over in full.
Start with a free infrastructure audit.
We map your gaps, identify which pillars to build first, and hand you a clear roadmap — no commitment required.