LeverageIQ

The ROI of Machine Intelligence

Engineered for operators who measure AI in contracted pipeline.

Founded by Managing Principal Paul Spray, LeverageIQ Group architects machine-readable commerce protocols (UCP, ACP, AP2), generative search citation systems (AEO and GEO), and 24/7 autonomous voice, quoting, and booking agents for growth-stage and enterprise organizations.

Too many leadership teams were sold disconnected AI experiments: chatbots that guess numbers, content farms that never earn LLM citations, and ad campaigns that dump high-intent buyers into 48-hour callback queues. LeverageIQ Group replaces fragmented point tools with one unified, cryptographically verifiable revenue engine.

The LeverageIQ Torsion Fulcrum: 6-second seamless Cycles render uniting six autonomous revenue coils.

Founder & Managing Principal

Paul Spray

paul@leverageiqgroup.com

Paul Spray established LeverageIQ Group around a straightforward executive standard: machine intelligence only matters when it lowers acquisition cost, compresses response latency, and increases verified revenue per opportunity.

By pairing open agentic commerce protocols (Universal Commerce Protocol, Agentic Commerce Protocol, and Agent Payments Protocol) with sub-45-second autonomous voice and quoting infrastructure, Paul and the LeverageIQ engineering team help operators capture demand both from AI procurement engines and human decision-makers around the clock.

Architectural Mandates

01. Machine-First, Human-Refined

Every surface delivers complete semantic HTML, JSON-LD entity graphs, and well-known commerce manifests in under 300ms while rewarding human executives with tactile WebGL2 clarity.

02. Deterministic Financial Rules

Conversational AI handles natural dialogue and intent capture; PostgreSQL rules engines and ECDSA P-256 signatures govern pricing math, margin floors, and mandates.

03. Compounding Coils Over Silos

Protocols, generative citation authority, algorithmic paid demand, waterfall enrichment, and sub-45-second voice agents are engineered as one closed-loop system.

Ready to evaluate your current stack?

Run our live 9-pillar domain diagnostic or request a direct scope briefing with Paul Spray.