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AI-first GTM and revenue systemsSaaS and private equityM&A

One revenue engine,built as a system.

Most firms sell you a project. We build the motion that carries a lead through to recognized revenue and a renewed customer, then keep it running.

6
practices, one accountable team
5–7 days → 1 day
lead-to-quote, LRN
120+
Salesforce certifications
10+
industries served

The practices

Six practices, one accountable team.

Our lead-to-revenue work uses LEVR, StreamForce’s best-practice process framework for operating efficiency →

GTM programs and revenue systems
Design and implement the process, data and systems that connect pipeline to recognized revenue and renewals, aligned to business measures.
Revenue operationsCRMCPQ and billingFinance integrationSalesforce expertise
M&A and Diligence
Dual-org consolidation, SKU rationalization and ARR reconciliation. A sequenced plan for CRM, product, pricing and billing integration, with owners and measures agreed up front.
Day 1 readinessCarve-outsTSA exitData migrationARR reconciliation
AI and agents
The intelligence layer designed in first, built by people who know the lead-to-revenue process it has to run on.
AgentforceClaudeOpenAIMCPLead scoringChurn prediction
Analytics and data
Board-ready reporting on modern data infrastructure, with the platform security underneath it done properly.
SnowflakeData CloudTableau CloudRBAC designSSO and identityCustomer 360
Managed services
Senior architecture on a partnership model, with SLA-backed delivery and month-end ownership.
Admin and architectureDeal deskMonth-end closeTestingPortfolio retainer
A structured assessment of lead-to-revenue process, data and connected systems, run with your team and ending in a prioritized roadmap.
Eleven dimensionsFour deliverablesValue quantified

How we are different

A different delivery model.

What you get

The StreamForce model

  1. Sequenced releases with agreed outcomes and a measurable baseline.
  2. Target outcomes and a measurement method agreed in the SOW before kickoff.
  3. AI-native from day one, built into the foundation.
  4. Lead to quote to invoice to RevRec to CS in one motion.
  5. A lean, focused team accountable to business outcomes.
What you avoid

The traditional SI model

  1. 18 to 24 month implementation timelines.
  2. Feature delivery first, business outcomes later.
  3. AI bolted on after go-live.
  4. CRM only, with finance and CS handled separately.
  5. Large teams, high burn and uncertain ROI.

The next step

Tell us where the revenue engine is stalling.

A 20-minute call with an Enterprise Architect. We will tell you what is worth fixing first.

Book a Health Check scoping call
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