Your commercial process was never built into your CRM. That's why your forecast is never accurate and your AI strategy is now at risk.
Six commercial decisions sit underneath every CRM and every AI tool above it: how leads are qualified, when deals progress, how teams hand over, how pricing is set, how customers grow, how the data is governed. Most companies have never made them.
Lead-to-Order Architecture · Before CRM. Before AI. Platform-Independent.
The growth plan, the AI strategy, and the board's confidence — all rest on the same foundation.
Three problems show up in every B2B technology company between £5M and £100M ARR. They look operational. They are not.
The Growth Plan Cannot Execute
The plan calls for 40% growth. The pipeline cannot deliver it. The CRM cannot tell you why. Strategy and execution have decoupled — quietly — and the board doesn't know yet.
Complexity Compounds Inside the Engine
Every quarter adds another tool, another process variant, another team handoff that nobody owns. The cost is hidden in deal velocity, win rate, and CRO time spent in firefighting rather than growth.
The AI Strategy Has No Foundation
Agentforce, Breeze, Copilot — all need clean data and agreed rules to deliver. Below the surface, neither exists. AI amplifies whatever sits underneath it. For most companies, that's the problem.
Lead-to-Order Architecture sits underneath the CRM, and underneath the AI.
Four layers. Built in this order. Most companies build top-down — and find out years later why the foundation never held.
Strategic Outcomes
Forecast accuracy. Pipeline conversion. Founder leverage. Board confidence. AI ROI.
AI & Automation
Agentforce, Breeze, Copilot. Multiplies whatever sits underneath it — for better or worse.
CRM Platform
Salesforce, HubSpot, Dynamics 365. Enforces what was agreed. Cannot create the rules itself.
Lead-to-Order Architecture
Six commercial decisions, made before any technology is bought: how leads are qualified, when deals progress, how teams hand over, how pricing is set, how customers grow, how the data is governed.
Most companies are not ready for the AI strategy their board has signed off on.
The Lead-to-Order Index scores architectural maturity across the six dimensions out of 4.0. Above 3.0, the system is executing: the CRM holds a forecast, AI multiplies what's working, the board can plan on the numbers. Below 2.0, the foundation isn't there.
The market average is 1.6. Most companies in the £5M–£100M band sit between 1.4 and 2.1. The board is starting to ask why.
Quarterly research. Six sector editions. Free.
Sector-specific benchmarks built from KeyBanc, SaaS Capital, ChartMogul, Bessemer and Battery research, validated under documented SOP, with 25 years of operator interpretation.
B2B SaaS & Cloud
10,000+ companies. Win rates, CAC payback, retention by ARR band, AI-native vs legacy multiples.
Cybersecurity
1,200+ companies. POC contamination, multi-stakeholder conversion, platform consolidation pressure on pricing.
Fintech & Payments
1,500+ companies. Regulatory triggers as signal, integration-stalled pipeline, the pricing model that delivers 124% NRR.
Telecoms & IoT
700+ companies. Channel pipeline quality, large-deal forecast concentration, device-based pricing dynamics.
Vertical SaaS
1,500+ companies. Finite TAM dynamics, expansion as primary growth engine, pricing premium most leave on the table.
Portfolio Edition
15,000+ companies across six sectors. Built for PE deal partners and operating teams. M&A readiness, AI-native vs legacy multiples by sector.
An independent read on whether your commercial engine can deliver the plan.
In five working days, you receive a board-ready verdict on the six commercial decisions underneath your CRM and your AI investment. Each gap is quantified in revenue terms — using your own data, not a generic model.
- How your commercial process compares to peers in your sector
- The annual revenue impact of each gap, modelled from your own pipeline
- How much of the revenue currently runs through the CEO — and the growth ceiling that creates
- Whether your AI investment will deliver on its business case, or amplify the gaps
- One narrated video walkthrough — the brief you take into the next board meeting
Pay-nothing guarantee: if the assessment doesn't surface something material your team has not already identified, you don't pay. No conditions.
Five working days
Pay-nothing guarantee
Board-ready output
Independent & platform-neutral
25 years of P&L accountability. £30 billion of revenue delivered.
"I built the methodology because I needed it. Every time I walked into a new revenue function, the same six decisions were missing. Then the CRM had to be undone and rebuilt. Now AI is being added on top of the same gaps. Architecture has to come first."
Michael ran revenue functions inside Vodafone, O2, Symantec, Equifax, Staples, DHL and Helvar — companies that combined generated more than £50 billion in annual revenue. Largest P&L: £12 billion. Lead-to-Order Architecture is the methodology built from that operator experience.
The work is platform-independent. The architecture is designed before the CRM is built — whether that CRM is Salesforce, HubSpot or Dynamics 365 — and before AI is layered on top. Implementation sits with platform partners. That separation keeps the advice honest.
Two doors. Both deliver value before any commitment.
The free benchmark report shows where your sector sits. The diagnostic shows where your company sits — with each gap costed from your own data, and the pay-nothing guarantee on the table.
Assessed by those who operated alongside Michael
From C-suite leaders and P&L owners who worked with Michael under board-level commercial pressure.
Latest Insights
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