Health Check
AI-first GTM and revenue systemsSaaS and private equityFounded 2019

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.

5
practices, one accountable team
45–60%
faster lead-to-quote cycles
120+
Salesforce certifications
10+
industries served

The practices

Six practices, one accountable team.

GTM and Salesforce
Full lead-to-revenue transformation on Salesforce, deployed with AI built in and aligned to your revenue strategy.
Revenue CloudCPQ and billingSales CloudEducation CloudRevOps advisoryVision 360
M&A and diligence
Dual-org consolidation, SKU rationalization and ARR reconciliation. Eighteen months of integration compressed into 60 to 90 days.
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
GTM Health Check
Our scanner reads your Salesforce org and returns a prioritized roadmap across eleven dimensions, with no preparation from your team.
Eleven dimensionsSix areas assessedValue quantifiedNo prep required

How we are different

A different delivery model.

What you get

The StreamForce model

  1. Under 90 days to live systems and measurable ROI.
  2. Business outcomes and ROI targets written into 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 call
Book a call