Service / Business Case Development
We analyze your product, delivery system, market context, and technical foundation to uncover hidden revenue, savings, and growth opportunities, then turn them into a business case your board can act on.
This is you
Features, requests, and ideas exist, but leadership cannot easily compare what each one is worth, what it costs, or what it unlocks commercially.
The team is completing work, but too much of it is disconnected from product capabilities, customer outcomes, operational efficiency, or revenue impact.
Workflows may be consuming days or weeks of effort that could be reduced through automation, AI, better data flow, or smarter system design.
The product works today, but architecture, integrations, data quality, scalability, or delivery limitations may quietly block what the business wants to do next.
You know an investment is needed, but without a quantified business case, the board or leadership team will not approve it.
The reframe
Product value usually hides in the strategy, the operations, or the technology. Most analyses look at only one. We diagnose all three together, because the usual failure mode is that strategy says one thing, delivery does another thing, and engineering gets blamed for the gap.
The framework
One diagnosis across all three — the constraint is rarely where the noise is. We keep strategy, operations, and technology in one frame until the real blocker shows itself.
Are you investing in the right opportunities?
What the product is supposed to achieve, which market and customer problems matter most, which capabilities are worth funding.
Can your company turn ideas into measurable outcomes?
How ideas move from leadership discussion into real delivery, and where value is lost in unclear ownership, poor estimation, slow handoffs, and reporting that shows activity but not value.
Can the technical foundation support the opportunity?
Not a technical wishlist. Can this opportunity be delivered, what will it cost, what could it unlock, and what risks need to be managed?
The process
Understand what the company is trying to achieve, why the product exists, where leadership sees opportunity, and where value may be leaking. Not a mission statement exercise.
We speak with leadership, product, operations, project management, technical leads, and delivery teams to map where value is lost: unclear priorities, rework, poor quality, slow delivery, weak visibility, technical constraints, manual work, missed opportunities.
Market, customer needs, industry workflows, competitor movement, regulatory constraints, external forces. This is where small requests often become bigger business cases.
Strategy: what should be built and why. Operations: how ideas become structured delivery. Technology: what must be true technically.
The financial logic: current cost, potential upside, estimated investment, risks, dependencies, recommended sequence. From "this seems like something we should do" to "this is worth funding, and here is why."
Business goal, capability, feature, roadmap, investment, expected value, connected in one defensible plan for what to do next and what to fund first.
the value chain
Every step of the analysis walks this chain, in order. If a link cannot be defended with numbers, it does not reach the board.
Deliverables
A clear case for where to invest next.
Cost of the current state plus potential value: revenue upside, savings, reduced rework, efficiency gains, scalability, risk reduction.
Delivery transformation, technical modernization, automation, AI implementation, project rescue, premium engineering support, or internal execution.
effort × value
Every opportunity we surface lands on this matrix. The business case names the quadrant worth funding first, prices it, and sequences the rest behind it.
CEO & Engineering Leader
10+ years in engineering leadership. CEO of Intelvision, a software engineering company that has delivered 100+ software products for startups and scale-ups.
Yurii built the Strike Team model around one standard: senior ownership, strong architecture, and predictable execution. He ensures every engagement aligns technical decisions with real business outcomes, not just velocity, but impact.
Strike Team Lead
20+ years in technology delivery and transformation. PMP and Lean Six Sigma Master Black Belt.
Wayne has scaled global engineering organizations (7 to 85 across 35 countries), built delivery systems with measurable performance metrics, and reduced cost of poor quality by up to 80%. He brings structure, accountability, and operational clarity to projects that have gone off the rails, and turns chaos into controlled delivery.
Case studies
Identified up to $220k/month in delivery-related revenue leakage
A software client had active development, ongoing releases, and a long-term product relationship, but delivery problems were starting to threaten the commercial value of the account.
Critical bugs, piecemeal releases, and work not tied to business objectives were creating a growing cost of poor quality. We built a business case around what poor delivery was costing and what fixing it could unlock.
Impact:
Turned a small efficiency request into a $4.19M self-funding roadmap
A modest time-saving ask uncovered a far larger structural constraint sitting underneath the day-to-day work.
We mapped the real opportunity and built a phased roadmap that pays for itself as it is delivered, rather than a single large bet.
Impact:
Turned a routine review into a €1.05M resilience business case
A German funding intermediary with a well-built stack and a lean 24-person team had one systemic constraint: no tested recovery layer across eight interconnected systems — one WordPress database as the single source of truth for all of them.
A modest environment review uncovered €508K–€1.05M in modelled annual risk, unpriced and invisible until the numbers landed on paper. Reliability had quietly become the product.
Impact:
Questions
It is a structured analysis of your product, delivery system, market, and technical foundation that quantifies where software is losing money and what to fund next — delivered as a board-ready business case.
We follow one chain: business goal → capability → feature → roadmap → investment → expected value. If a link cannot be defended with numbers, it does not reach the board.
Boards fund numbers, not opinions. We model the cost of the current state — rework, delays, manual work, lost revenue — against the value of fixing it, so the ask becomes an ROI decision instead of a cost discussion.
We quantify current-state costs, potential upside (revenue, savings, efficiency, risk reduction), required investment, and dependencies — then sequence the roadmap so early phases fund later ones.
Opportunity diagnosis, financial impact model, capability map, ROI-backed roadmap, implementation recommendation, and a board-ready business case.
Most analyses look at strategy, operations, or technology in isolation. We diagnose all three together — because the usual failure mode is strategy saying one thing, delivery doing another, and engineering blamed for the gap.
Yes. We assess automation potential, AI suitability, and data readiness as part of the technology analysis. One engagement turned a small efficiency request into a €4.19M self-funding AI roadmap.
Typically a few weeks: discovery, constraint mapping, market research, strategy-operations-technology analysis, then the financial model and board-ready roadmap.
That is a valid outcome. The business case ranks every opportunity on an effort × value matrix — you fund the quadrant that pays first and skip what does not.
Founders, CEOs, CTOs, and product leaders who know an investment is needed but cannot yet defend it with numbers — or who suspect their roadmap is not financially clear.
