Client names, logos, and specific performance metrics are published only with written client approval. The engagements below are anonymized composites drawn from real work — the situation, intervention, and outcome shape are accurate; identifying detail is removed.
From founder-led referrals to a repeatable US enterprise motion
Context
· ~250-person India-headquartered product-engineering firm with strong delivery credentials in data platforms and cloud modernization.
· Growth was entirely founder-led and referral-driven. No named-account plan, no defensible US pipeline, inconsistent CRM hygiene, and a first-time US sales hire struggling to open enterprise conversations.
What we did
· Rebuilt positioning around two buyer-recognizable outcomes instead of a generic capability menu.
· Defined a 40-account US target list by ICP fit, buying-committee density, and reference-adjacency to existing delivery work.
· Installed a weekly pipeline council: stage definitions, exit criteria, MEDDPICC-lite qualification, and forecast discipline the founder could inspect in 20 minutes.
· Designed the outbound + inbound workflow with AI-assisted account research, message drafting, and meeting prep — operated by the existing team, not a new SDR layer.
What changed
· Founder moved from being the only rainmaker to inspecting a pipeline the team owned.
· First qualified enterprise opportunities from the target list within the first quarter of the build.
· CRM became a decision surface leadership actually used — not a reporting formality.
Engagement path: 90-Day Revenue System Build → Managed Pipeline Pod
Repositioning from 'we do AI' to a packaged, enterprise-buyable offer
Context
· Founder-led AI services company with deep applied-AI talent and early production wins with mid-market buyers.
· Every deal was custom-scoped from zero. Sales cycles stretched, pricing was inconsistent, and enterprise buyers could not tell the firm apart from a dozen adjacent AI consultancies.
What we did
· Extracted two repeatable engagement shapes from the highest-margin delivered work and packaged them with clear scope, timeline, deliverables, and price bands.
· Rewrote the website, sales narrative, and proposal template around a specific buyer problem — not a technology stack.
· Built the discovery-to-proposal workflow: qualification script, scoping questionnaire, and an AI-assisted proposal generator that produces a first draft in under an hour.
· Trained the founder and lead seller to run the new motion, with weekly deal inspection on live opportunities.
What changed
· Proposal turnaround compressed from weeks to days on standardized engagements.
· Enterprise prospects began self-qualifying into the packaged offers instead of asking for open-ended scoping calls.
· Founder time on custom-proposal writing dropped materially, freeing capacity for named-account development.
Engagement path: Revenue System Diagnostic → 90-Day Revenue System Build