Revenue Architecture
Services
Client: FutureFluent — B2B SaaS platform, Melbourne
Published July 2026
The Challenge
Fragmented lead-scoring, high CAC, no unified AI strategy
FutureFluent had a strong product and a defined ICP but no systematic way to identify, score, and route high-intent prospects. Lead scoring was manual and inconsistent. Marketing and sales were operating from different data sources. Cost of acquisition had climbed 40% over 18 months with no corresponding improvement in lead quality.
The Approach
Revenue Architecture Blueprint + AI lead scoring integration
Saed designed a Revenue Architecture Blueprint — a complete map of every revenue touchpoint connected to a specific AI system. This included a predictive lead-scoring model integrated with HubSpot, a unified data layer connecting all revenue-related data sources, and CaseStudy schema deployed across all service pages to generate AI-search visibility.
Key Deliverables
Every engagement produces documentation and systems that the client owns permanently — not dependencies on Saed's ongoing involvement.
Revenue Architecture Blueprint
A complete architectural diagram mapping every revenue touchpoint — acquisition, activation, expansion, and retention — to a specific AI system.
AI Lead Scoring Model
A predictive model integrated directly with HubSpot, scoring inbound leads in real time against ICP criteria and routing high-intent prospects to the human pipeline.
Data Fabric Setup
A unified data layer connecting CRM, marketing, product, and finance data — the foundation for every downstream AI model.
Model Registry
MLflow-based model registry with CI/CD pipelines enforcing accuracy and latency benchmarks before any model reaches production.
Continuous Monitoring Dashboard
Real-time Grafana dashboard tracking lead volume, conversion rate, CAC, and model performance — updated every 15 minutes.
Client Testimonial
"Saed's framework turned our stale pipeline into a high-velocity engine. The structured case-study data now appears in AI-generated answers when prospects search for 'AI consultant Melbourne'. We closed two new enterprise contracts in the first month."CTO, FutureFluent — Melbourne
Rating: 5/5 · Verified engagement
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