From Stuckforce
to Revenue-Optimized Salesforce.
Most companies deploy AI before they understand where it actually creates revenue leverage.
We architect AI into your Salesforce revenue system and measure business impact before deployment.
30-minute strategic briefing. No pitch
Most teams don’t realize this is a revenue architecture problem until it’s expensive.
Your team is being told to “use AI,” but nobody’s answering the questions that matter:
- Where in our revenue model should AI actually plug in?
- What is the financial ROI, and what is the cost of getting it wrong?
- How will we measure if it is working?
- Which processes deserve automation, and which need redesign?
The results:
Companies spend $50-100K deploying Agentforce and AI tools that:
- Don’t connect to revenue metrics
- Add complexity without measurable outcomes
- Create technical debt instead of scaling assets
- Require constant manual babysitting to keep working
Here is the truth:
AI without revenue architecture becomes expensive automation.
And broken Salesforce architecture prevents AI from working at all.
We don’t just deploy AI. We architect revenue systems based on Salesforce.
Higher Rock is a Salesforce Certified Application Architect-led firm focused on Revenue AI Architecture.
We fix the structural problems that keep Salesforce from becoming a scaling asset, then integrate AI only where it creates measurable financial leverage.
- Diagnose revenue architecture and monetization strategy of your business (not just technical debt)
- Identify AI leverage points (where ROI is real)
- Architect integration (connect AI outputs to revenue metrics)
- Measure impact (prove improvement before and after)
- Have Salesforce is deployed but underperforming
- Are evaluating AI and Agentforce investments
- Implementing D360
- Need revenue metrics grounded in their CRM
- You want architecture-led strategy, not ticket-driven fixes
Real Economic Outcomes
From rescue to revenue-scaling asset.
What changes in 90 days
- $1,000,000 revenue leak stopped – – replacing overpriced consultancies with architecture that actually works
- 400+ staff hours reclaimed annually — freeing senior people for higher-value work
- Data reliability restored — duplicate records reduced by 98%
- True revenue churn exposed and quantified for the first time
- Marketing performance tied directly to revenue and retention — not just activity
- Clear profiles of your customers – you get to know your customers better
- Confusion over Salesforce ownership and priorities
- Shadow spreadsheets compensating for mistrusted data
- Fire drills from broken workflows or unreliable reporting
- Endless debate about what Salesforce should be doing
- Pressure to add headcount just to keep moving
- Revenue leakage caused by unseen churn
Revenue AI Architecture Assessment
Ground your AI investments in financial metrics.
- Where AI should integrate into your revenue model
- Projected financial impact and ROI
- How ROI will be measured before and after
- A 90-day implementation plan
- Week 1: Revenue system audit
- Week 2: AI opportunity analysis and ROI estimation
- Week 3: Integration architecture and measurement design
- Week 4: Roadmap, business case, executive readout
Real economic outcomes
From rescue to revenue-scaling asset.
Managed Impact: Architect-led stewardship that compounds value
Salesforce does not stay valuable on autopilot. Managed Impact provides ongoing architectural oversight so the system continues to support better decisions, stronger execution, and long-term growth.
This is not generic support or task execution. It is architect-led stewardship that keeps Salesforce aligned to leadership priorities as conditions change.
We monitor through an architectural lens, anticipating friction before it appears. This is how Salesforce becomes a scaling asset, not a platform that degrades between projects.
Identify Your One Fix Priority
Most companies spend $50-100K deploying Agentforce without understanding where it creates revenue leverage.
Request a 30-minute Revenue AI Strategy Call to explore:
- Where AI should integrate into your revenue model
- What the projected ROI looks like
- Whether the Revenue AI Architecture Assessment makes sense for your business
No pitch. Just strategic clarity.

