CEOs, CROs, and Chief Commercial Officers.
You know performance is off. The board is asking questions. Quarters are being missed or expectations reset. You suspect the problem runs deeper than the last initiative addressed, but you cannot pinpoint where exactly, or quantify what it is costing.
Questions this answers
- Why isn't our revenue system performing the way the numbers say it should?
- Where exactly is value leaking and what is it costing?
- Is this a strategy problem, a people problem, or a systems problem?
- What does a realistic recovery plan look like over the next 90 days?
- Are we looking at a pipeline problem or a conversation problem?
At the end of this sprint, you will have a clear, financially quantified picture of what is happening and why.
- Where in your revenue system value is leaking and exactly why
- What those leaks cost in concrete financial terms over 12 to 24 months
- Whether you have a strategy problem, a people problem, a systems problem, or all three
- A financially justified, prioritised recovery plan for 30, 60, and 90 days
- An independent view your board can rely on
How we measure it.
Every Revenue Sprint runs on four proprietary instruments. This sprint deploys the highlighted set.
Quality and quantity of commercial conversations, benchmarked against the Supero dataset.
How much of reported pipeline is real, qualified, and progressing versus noise.
Multi-dimension maturity score for AI adoption, effectiveness, and strategic alignment.
Revenue at risk, cost of inaction, and realistic recovery potential over 12 to 24 months.
Every dimension of the system.
We work across both the commercial and technical layers. Alex leads the revenue and conversation assessment; Cumai leads the systems, AI, and data layer. The findings converge into one quantified picture.
- Targeting and territory design
- Value proposition and commercial narrative
- Conversation creation and quality at scale
- Discovery quality and value alignment
- Deal progression and conversion patterns
- Pipeline integrity and CRM data accuracy
- AI and technology stack across the revenue team
- System integration and data flow
- Coaching infrastructure and feedback loops
- Personal brand and market influence
- AI adoption effectiveness and governance
- Outreach and content quality
Outputs you can act on.
Not a document that sits on a shelf. A quantified picture of the problem, a financial case for action, and a prioritised plan your leadership team can use.
Pipeline Clarity Report
A clear, independent picture of where the revenue system is failing and why, across strategy, people, and systems.
Conversation Breakdown Map
Where conversation quality and quantity is falling short of benchmark and what it is costing.
Pipeline Integrity Score
How much of your reported pipeline is real, qualified, and progressing versus noise inflating your coverage.
AI Maturity Index
Where your AI investment sits on the maturity curve and what it is actually contributing to revenue.
Financial Impact Model
Revenue at risk, cost of inaction, and realistic recovery potential over 12 to 24 months.
Prioritised Recovery Plan
A 30/60/90-day plan with clearly sequenced actions, owners, and measurable outcomes.
The Zombie Pipeline
A European SaaS company had 3.5× pipeline coverage and a 6% win rate. The CEO described his company as “a zombie.” The team was busy. Revenue was not moving. They had a CRM, outreach tools, discovery frameworks, and a methodology they had invested in two years earlier. None of it was connected to how buyers actually make decisions.
What the diagnostic uncovered
- Sellers were entering conversations after buyers had already framed the problem. The methodology in place assumed the seller was shaping the conversation from the start.
- The value proposition was product-led, not insight-led. Messaging and discovery frameworks asked about buyer needs but never challenged buyer assumptions.
- Pipeline coverage looked healthy at 3.5×, but the Pipeline Integrity Score revealed fewer than 1 in 10 deals had genuine buying intent.
- Coaching was ad hoc with no structured feedback loops connecting call quality to deal progression.
What the client built using the diagnostic roadmap
- Redesigned their value proposition around four value drivers anchored to buyer risk, giving their existing sales methodology something commercially powerful to work with.
- Adopted a teaching narrative that changed how buyers thought about the problem before any product discussion, integrated into the outreach and discovery tools already in place.
- Implemented a discovery framework with four question intents (rapport, qualification, discovery, reframing) that sharpened their existing approach rather than replacing it.
- Introduced a qualification scorecard that killed zombie deals early, freeing the team to concentrate on winnable opportunities.
- Deployed AI-powered account planning that reduced prep time from two days to under an hour, working alongside their existing CRM.
Results the client achieved over 6 months
- Win rate increased from 6% to 19%, a 3× improvement.
- Average deal value increased as the team engaged higher in the organisation.
- Pipeline volume decreased by 30%, but pipeline quality improved dramatically.
- Team confidence shifted. Sellers described feeling “armed” rather than “hopeful.”
- The CEO reported the first quarter where reported pipeline reflected reality.
“We brought Alex in to improve how we convert pipeline. He diagnosed our situation quickly, identified the value drivers behind our platform, built a teaching narrative around them, and gave our team a structured approach to every buyer conversation. Then he built AI-powered account plans tailored to our market that turn strategic thinking into something any seller can execute in under an hour. That’s what changed things for us - not just better methodology, but a repeatable system that scales across complex enterprise buying cycles.”
CEO, Enterprise Marketing Software Company
Minimal disruption. Maximum signal.
We observe, interrogate, and test. We do not derail the business with large workshops or lengthy questionnaires.
Scope
A joint working session to understand context, board pressure, priorities, and whether the Full Revenue Sprint is the right fit.
Assess
4 to 6 weeks: stakeholder interviews, CRM review, conversation analysis, AI tool audit, personal brand audit, and system assessment.
Quantify
All four instruments scored and modelled. Financial impact calculated. Findings converged across Alex's revenue assessment and Cumai's systems assessment.
Deliver
Joint executive readout. Commercial findings, systems findings, and a financially justified recovery plan your board can act on.
Pricing: We work on a base-plus-outcomes model. A meaningful share of our upside is linked to agreed KPIs, because pricing should reflect impact, not time spent. The diagnostic method, once designed, can be re-run annually as a longitudinal measure of progress.
Three Revenue Sprints. One diagnostic engine.
Every Supero engagement runs on the same diagnostic spine. Start where the problem is most visible.
Your AI is running. Is it creating conversations or noise?
A specialist diagnostic focused on AI spend, tool effectiveness, and AI maturity. 2 to 4 weeks.
Explore this sprint Team Revenue SprintHalf your team hits target. You need to know why the other half doesn't.
A focused, faster diagnostic scoped to one team. Conversation Score, inconsistency cost, and a 30-day plan. 2 to 3 weeks.
Explore this sprintEU AI Act compliant. Fast.
And built for your exponential future.
A specialist path within the Full Revenue Sprint for CEOs under pressure to prove their GTM AI is sound across four dimensions, before the board, the regulator, or the market forces the question.
01 · Legal
EU AI Act compliant, with the audit trail to prove it
From 2 August 2026, penalties reach up to €35m or 7% of global turnover. Supero documents your AI use, risk classification, and oversight model in language your legal team and regulators recognise.
02 · Architectural
Traceable, governed, and built to be audited
Your AI tooling, data flows, and GTM systems mapped end to end. Where models are used, where data sits, who has oversight. The architecture a board would approve and a regulator would accept.
03 · Psychological
From boardroom anxiety to boardroom answer
Boards are watching. Investors are asking. You cannot afford to guess. The Sprint replaces uncertainty with a defensible position you can take into any conversation, internal or external.
04 · ERT AI
Explainable, Responsible, Transparent by design
Every AI-enabled output traceable to its evidence, with human oversight on material decisions and clear documentation of purpose, data, and limits. The Supero standard the EU AI Act now formalises.
LLMs are the interface. The model is the evidence.
Most AI in GTM today is LLM-heavy and science-light. The Full Revenue Sprint inverts that: predictive models trained on your data, quantified confidence in every score, and a board-ready audit trail you can defend.
Financial Impact Model snapshot
Illustrative example. Your FIM is built on your data.
Compliance is the floor. Not the ceiling.
Done right, governance becomes the operating system for how your company absorbs every next wave of AI, not a reaction to the last one. The Sprint sets you up to move fast, with the audit trail, the architecture, and the confidence to act exponentially.
Find where revenue is leaking and quantify the cost before you decide what to do next.
Supero helps B2B revenue leaders diagnose where performance is breaking down and where to focus first.
Every conversation is confidential, sprint-led, and independent of any vendor, methodology, or tool.