Revenue Operations · PE Value Creation

Execution-Driven RevOps Consulting

We're operators who have owned the quota and have run revenue engines inside PE-backed companies.

How this is different:

Most consulting engagements start with months of discovery before any actual work begins. We bring unparalleled depth from operating inside PE-backed SaaS portfolios for years. We start from known revenue system failures. We're not junior generalists, we're specialists: former sales reps, CRM architects, data engineers, and RevOps experts, with MBB and Big 4 experience. We fix what's broken.

What we do

Revenue Problems We Fix in 30–90 Days

Focused execution across pipeline, forecasting, and coverage, implemented in weeks, with measurable impact.

Forecasting Discipline

We rebuild forecasting methodology driven by pipeline math and productive capacity, so your number holds up under pressure.

Pipeline Analytics

Funnel diagnostics, leakage analysis, and stage-conversion benchmarks. We isolate exactly where deals die, why, and what to fix this quarter. Then we implement dashboards your team actually uses.

Territory & Quota Planning

TAM segmentation, capacity modeling, comp and quota alignment. Our analytics deliver better coverage without adding headcount.

AI Agentic Workflows

Account research agents, deal-desk copilots, and signal routing, built into the rep's daily workflow. We go deep into the messy CRM/data reality and fix the hard parts that others avoid, i.e. data foundation and orchestration layers, so the outputs are accurate and usable.

What we don't do — 6-month strategy roadmaps Work that never reaches reps Tools without adoption Junior & generalist consultants
How it works

What an Engagement Looks Like

Where we focus

  • PE-owned B2B Companies: SaaS, Industrials, etc.
  • Lower-mid to upper-mid market
  • Diligence, post-acquisition, and growth phases
  • Operating Partners and portfolio revenue teams

How we engage

  • Senior operators on every engagement
  • 4–12 week sprints with fixed scope
  • Tied to outcomes, not billable hours
  • Working systems your team owns when we leave

What we move

  • Forecast accuracy & confidence
  • Pipeline coverage & velocity
  • Quota attainment & ramp time
  • AI-driven productivity per rep
14 hrs/wk
Time saved per rep through AI account research
69 → 72%
Gross renewal rate, lifted in 2 quarters
95%
RFP response time eliminated via AI
±15% → ±5%
Forecast accuracy, improved

Named references and logos on request.

Selected results

Recent Engagements and Results

A sample of recent work. Named references and full case studies under NDA.

Forecasting · 3 months
±15% → ±5% forecast accuracy
B2B Cybersecurity · $600M ARR

Built a forecasting model segmenting bookings contribution from starting pipe, same-month creation and close, carryover, and pull-forward. Reweighted pipeline using historical conversion and velocity to calculate accurate math based forecasts.

Agentic AI · 2 months
−14 hrs/wk/rep
B2B Industrials · Account research

Built AI-generated account briefs and pre-call summaries embedded directly into rep workflow, eliminating manual research and reducing prep time by 14 hours per rep per week. Replicated across core sales segments.

Renewals · 2 quarters
GRR 69 → 72%
B2B SaaS · Early warning system

Built a churn-risk early warning system from CRM, support, usage, NPS, and rep inputs. Integrated into Salesforce so account managers and CS see risk in real time. Risk-tiered intervention playbooks. Both gross and net retention moved within two quarters.

Pipeline health · 2 months
Commit coverage improved
B2B SaaS · Pipe progression

Benchmarked best-in-class deals to score the live pipe. Stage-by-stage conversion dashboards. Killed the stale pipeline and gave leaders leading indicators on real pipe, improving conversion to Commit and sales cycles.

Agentic AI · 2 months
−95% RFP response time
B2B SaaS · Rep productivity

RAG over historic RFPs (Pinecone + GPT-4) with an Excel add-in for one-click answer population across 300-question questionnaires in Excel across multiple tabs. Reps moved from two-week RFP cycles to minutes.

Outbound · 3 quarters
$70M pipeline → $10M bookings
SaaS · Healthcare ransomware play

Public-data scraping plus ZoomInfo and 6Sense enrichment plus a propensity model. Built reps a battlecard, multi-channel sequence, and feedback loop, closing $10M in three quarters from a sales play that hadn't existed before.

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