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 determine whether your CRM and your AI investment will work: 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.
Pay-nothing guarantee on the Diagnostic. If we don't surface something material your team hasn't already identified, you don't pay.
Commercial-First CRM Transformation · Powered by Lead-to-Order Architecture · Architecture Before CRM — and Before AI.
What it looks like when the architecture is fixed.
Three representative cases — drawn from sector benchmark data and operator engagement patterns. Your specific outcomes are quantified in the Diagnostic.
Forecast accuracy went from 28% miss to 6% miss in two quarters.
The CRM build had already been scoped. The architecture work redirected it before configuration locked in. 22 percentage points of forecast accuracy recovered.
Free-trial conversion lifted from 18% to 41% in one quarter.
Engineering capacity was being consumed by deals that were never going to close. A qualification gate at the front of the funnel — not new headcount — moved the number. Zero new hires, win rate doubled.
Net retention moved from 103% to 124% after pricing redesign.
Per-seat pricing on a transactional product was leaving 21 net-retention points on the table every year. The pricing model was the structural fix, not a sales execution problem. 21 points of NRR recovered.
Your specific results are quantified in the Diagnostic — using your own data, not a generic model.
Your growth plan, your AI strategy, and your board's confidence — all rest on the same foundation.
Three problems show up in every mid-market B2B technology company. They look operational. They are not.
Your growth plan cannot execute.
Your plan calls for 40% growth. Your pipeline cannot deliver it. Your CRM cannot tell you why. The strategy and the execution have separated — quietly — and your board hasn't been told yet.
Complexity is compounding inside your engine.
Every quarter, your team adds another tool, another process variant, another team handoff that nobody owns. You see the cost in slower deals, lower win rates, and a CRO who spends every Monday firefighting instead of growing the business.
Your AI strategy has no foundation.
Your board has signed off on Agentforce, Breeze, or Copilot. They need clean data and agreed rules to deliver. Underneath, neither exists in your business yet. 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.
Most companies make the same mistake. They start with the platform decision.
They configure the CRM around what the technology can do, not around how revenue actually works. The build kick-off takes place before anyone has agreed what a qualified opportunity looks like. That is Technology-First CRM Design — the structural error behind most failed CRM and AI programmes. You know it is happening when sales, marketing and customer teams are brought into the build process too late, and the system ends up shaped by technology decisions but judged by revenue performance.
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.
Layer 1 is the only layer still reversible. Build layers 2, 3, and 4 on the wrong foundation and you cannot un-build them cheaply.
Most boards approve their 2027 technology budgets in autumn 2026. The architecture decision is the one that locks the budget into the right shape — or the wrong one. The companies that get this right do it before the budget is signed off, not after.
AI does not fix a broken CRM. It amplifies it.
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 commercial dimensions out of 4.0. Above 3.0, the commercial engine is running: the CRM holds a forecast, AI multiplies what works, the board can plan on the numbers. Below 2.0, the foundation is not there.
The market average is 1.6. Most mid-market B2B companies sit between 1.4 and 2.1. The board is starting to ask why.
For a £20M ARR business, the gap between a 20% forecast miss (the typical mid-market reality) and a 5% forecast miss (the best-run-business standard) typically conceals £1.5–3M of revenue leakage per year. That is the number boards eventually find — and start asking who owns.
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, customer acquisition cost, retention by ARR band, and how AI-native companies are pulling ahead.
Cybersecurity
1,200+ companies. Free trials clogging the pipeline, large buying committees slowing every deal, big platforms squeezing your prices.
Fintech & Payments
1,500+ companies. How compliance deadlines drive your best deals, why integration timelines stall your pipeline, and the pricing model that grows revenue automatically.
Telecoms & IoT
700+ companies. How to score your channel partners, why one big deal can break your forecast, and how device-based pricing changes everything.
Vertical SaaS
1,500+ companies. Why your market is smaller than you think, why customer growth matters more than new logos, and the pricing premium most companies miss.
Portfolio Edition
15,000+ companies across six sectors. Built for PE deal partners and operating teams. M&A readiness and sector multiples for AI-native versus legacy companies.
The benchmark shows where your sector sits. The Diagnostic shows where your company sits — with each gap costed from your own pipeline data.
What you might think this is — and isn't.
If you've already engaged any of the alternatives below, this is the layer that should have come first.
This is the commercial architecture layer that sits above all of them — and tells them what to build.
Find out — before your board does — 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.
You receive a 12-page document: your sector benchmark, your six-dimension scores against it, the gap that is costing you the most quantified in revenue terms, and the build specification your CRM partner can execute against. Plus a narrated video walkthrough — the brief you take into the next board meeting.
- 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
This is not for every B2B technology company. If your forecast is already landing within 5%, you do not need this. The Diagnostic is built for mid-market B2B organisations where the gap between the plan and the result is no longer tolerable — and where the next CRM rollout, or the AI strategy already signed off by the board, will lock that gap in if it goes ahead unchanged.
Five working days
Board-ready output
Independent & platform-neutral
If we don't surface something material, you don't pay
25 years of P&L accountability across companies that look like yours.
Lead-to-Order Architecture is the proprietary method I use to deliver Commercial-First CRM Transformation programmes for mid-market B2B organisations.
"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 and Helvar — six enterprises with cumulative revenue accountability of £24 billion. Largest single P&L: £12 billion. He has also delivered major commercial programmes inside DHL.
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.
Pay-nothing guarantee
Built for mid-market B2B technology companies. If the gap between your plan and your actual result is no longer tolerable, the Diagnostic is the next step. If your forecast is already landing within 5%, this is not for you.
Assessed by those who operated alongside Michael
From C-suite leaders and P&L owners who worked with Michael under board-level commercial pressure.
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