AI Strategy & Revenue Intelligence
Move faster. Decide smarter.Govern responsibly.
AI strategy, revenue intelligence, and governance that compound. Not three separate tracks. One operating system.
For growth-stage B2B ($5M–$100M). Operating with AI since 2016.

Trusted by revenue teams at
The Problem
Every B2B company has AI tools.
Almost none have a revenue architecture.
The gap between "we're using AI" and "AI is compounding our revenue" isn't budget or tooling. It's the operating layer underneath: the architecture that determines whether AI creates intelligence or expensive noise.
You automated the output. Not the intelligence.
Agents that write emails, score leads, and update CRMs on top of a broken ICP model don't create pipeline. They generate volume with the same conversion rate. Just faster. Acceleration in the wrong direction.
Your forecast tells you what happened. Not what will.
Lagging indicators describe last quarter. A causal revenue architecture with leading indicators and decision triggers tells you what to do this week. Most RevOps stacks are rear-view mirrors dressed as intelligence.
AI strategy without execution infrastructure is a slide deck.
Most companies can articulate an AI vision. Few have the transitional leadership layer that evaluates use cases, owns implementation, and measures value realization against P&L. Sophizo is that layer.
What We Build
Six capabilities. One compounding system.
Every engagement is scoped to your stage, your data, and the outcomes you need to defend to your board.
Agentic AI Architecture
Compound AI systems that integrate into your revenue motion. Not bolted-on tools. Every agent, every workflow, every automation traces to a measurable outcome.
Revenue Operations
Pipeline architecture, predictive forecasting, conversion analysis, and GTM alignment. The operating system your revenue team runs on. From data layer to board deck.
Predictive Pipeline Intelligence
CMT-trained pattern recognition applied to your pipeline signals. Momentum shifts, conversion resistance, and leading indicators across CQ+2.
AI Governance & Risk
Responsible AI frameworks, vendor evaluation, build-vs-buy analysis, and governance structures that satisfy your board and compliance team.
Fractional Leadership
Senior AI and RevOps strategy without a full-time hire. Embedded in your leadership team, accountable to your P&L, available at the scale that fits.
Team Enablement
We don't just build systems. We transfer capability. Your team learns to operate, iterate, and extend what we build. Independence, not dependency.
Claude for Small Business
3-week Revenue Readiness Sprint that configures your Claude stack against your ICP, market cycle, and pipeline. ICP-defined triage, CMT-trained timing, and NIST AI RMF aligned governance from day one.
Three Services
Each one works alone. Together they compound.
Revenue Intelligence surfaces where your pipeline is leaking. AI Advisory builds the architecture that stops it. Governance makes sure the whole system can be audited, defended, and scaled.
Signal Stack
Revenue Intelligence
Most organizations drown in data but starve for decisions.
The Signal Stack extracts actionable intelligence from your unified revenue data. Detect forecast risks 5 days early. Execute decisions in 24 hours. 90%+ forecast accuracy. 7x faster decision cycles.
Result: 90%+ forecast accuracy. 7x faster decisions.
Explore Revenue IntelligenceAI Transformation
AI Advisory
Most companies use AI tactically. Few use it strategically.
We help you move from 'How do we use AI?' to 'How does AI change our competitive position?' AI strategy, implementation, architecture, team capability, and risk management in one engagement.
Result: AI becomes a sustainable advantage, not a feature.
Explore AI AdvisoryCompliance & Risk
AI Governance
Regulators are moving fast. Your board is watching.
AI governance isn't a compliance checkbox. It's a competitive advantage. We build NIST AI RMF, EU AI Act, and ISO 42001 frameworks that protect your company while enabling faster AI deployment.
Result: Ship AI faster, with confidence, with stakeholder trust.
Explore AI Governance
The Sophizo Method
Revenue Architecture.
Not Revenue Advice.
Four intellectual disciplines combined into one Agentic AI operating system: MECE architecture, Pyramid Principle reporting, first-principles design, and causal chain measurement. Every phase has a milestone. Every initiative traces to ARR, pipeline, or EBITDA.
See the full methodology →Diagnose & Architect
- MECE revenue model
- Data layer unification
- Forecast governance
- Pipeline architecture
Deploy & Compound
- Multi-agent workflows
- AI copilots & RAG intelligence
- Deal scoring
- Forecast automation
Scale & Transfer
- Propensity scoring
- Attribution modeling
- Executive dashboards
- AI maturity benchmarking
Who We Serve
Growth-stage B2B companies ready to build, not just buy.
CEOs & Founders
$5M – $100M ARR
If your board is asking for an AI roadmap and your team is running disconnected experiments, the problem is not the tools. It is the absence of an architecture that connects AI deployment to revenue outcomes. That is the engagement.
Revenue Leaders
VP Sales / CRO / CFO
If your forecast variance is above 20% and your pipeline reviews feel more like archaeology than intelligence, the data model underneath is broken. We fix the architecture before we touch the tooling.
PE Operating Partners
Portfolio-wide AI enablement
If you need AI maturity assessed during diligence and value creation tied to EBITDA rather than activity metrics, we run that engagement across your portfolio with a repeatable framework and P&L-traceable outcomes.
Common Questions
What operators ask first.
Ready to Start?
Stop automating.
Start architecting.
Book a free 30-minute discovery call. Leave with a diagnosis, a map of your highest-leverage AI opportunity, and a 90-day starting point. Whether you work with Sophizo or not.