Qualification drag
Inbound demand is not scored by buyer role, technical fit, urgency, project readiness, geography, budget, or implementation path.
- Bad-fit calls
- Wasted expert time
- Weak handoff context
Technical B2B wedge
Qualify complex demand.
Conversion System builds AI-powered revenue systems for regulated, technical, high-ticket B2B companies where slow follow-up, weak qualification, messy CRM, proposal drag, and poor sales handoffs kill deals.
The problem
Technical companies rarely lose only because of demand.
The expensive leak usually appears after interest shows up: the wrong inquiries reach sales engineering, demos fail to become pilots, proposals sit without follow-up, and leadership cannot see which technical opportunities are real.
Proposal drag
RFPs, RFQs, pilot proposals, and follow-up tasks live across inboxes, spreadsheets, docs, and founder memory.
- Slow response
- Missed next steps
- No stage discipline
Visibility drag
The CRM does not reflect how complex technical buyers actually move from inquiry to discovery, demo, pilot, procurement, and close.
- Untrusted fields
- Messy pipeline
- No weekly operating view
Best-fit markets
Sell into the frontier wave without pretending to be the frontier.
The strongest fit is not SpaceX, Tesla, or hyperscalers directly. It is the supplier, integrator, and technical vendor ecosystem selling into AI infrastructure, industrial automation, defense, robotics, and regulated B2B demand.
AI infrastructure suppliers
Cooling, BESS, modular data center, cleanroom, cabling, fiber, rack, commissioning, EPC, and site-readiness companies.
- Project-readiness intake
- Technical lead routing
- Proposal follow-up dashboard
Industrial AI vendors
Predictive maintenance, computer vision inspection, factory analytics, mining, energy, utility, logistics, and manufacturing AI companies.
- Demo-to-pilot workflow
- Operational fit score
- Business-case follow-up
Robotics and defense-tech
Robotics integrators, autonomy teams, dual-use startups, sensing, comms, drones, and technical teams with complex buyer journeys.
- Site-readiness flow
- RFP/RFQ tracker
- Partner follow-up system
What we ship
One technical sales leak. One sprint. One dashboard-visible number.
The Technical Revenue Audit decides whether the sprint should exist. If the leak is real, the build stays narrow enough to launch, measure, and improve.
Technical qualification system
A cleaner path from inquiry to qualified opportunity, with intake fields, routing rules, owner tasks, CRM updates, and dashboard visibility.
- Fit scoring
- Routing logic
- Sales-owner tasks
Proposal follow-up system
A controlled workflow for proposals, RFPs, RFQs, pilot next steps, buyer-role education, and deal-risk review.
- Response library
- Follow-up sequence
- Deal-risk dashboard
Sales handoff system
A structured handoff that protects technical experts from bad-fit work and gives sales the context needed to move serious buyers.
- Discovery checklist
- Escalation rules
- Expert-time signal
Fit filter
The audit is the gate.
A technical revenue system only makes sense when one saved opportunity is worth the implementation effort.
Strong fit
Existing sales motion, high average deal value, real pipeline, technical buyer complexity, CRM access, and a clear owner for sales process change.
Possible fit
Real offer and technical buyer, but unclear lead volume, sales cycle, CRM quality, proposal workflow, or implementation owner.
Bad fit
Pre-revenue idea, pure curiosity about AI, low-ticket consumer offer, product-market-fit problem, or no access to the systems that need to change.
Pre-audit checklist
Find the technical revenue leak before scoping a sprint.
Use the checklist to inspect qualification, sales engineering handoff, proposal follow-up, demo-to-pilot movement, RFP/RFQ workflow, and pipeline visibility before applying for the audit.
Next step
Start with the audit.
If there is a measurable leak worth fixing, the Revenue Audit tells us whether the Revenue System Sprint should exist.
Apply for a Revenue Audit