Service / Engineering Operating System
For teams that have worked together for years but where progress feels slow and messy. We install the operating system: ownership, cadence, quality gates, and a straight line of sight from strategy to sprint to release.
This is you
Each initiative negotiates its own rituals, tools, and definitions. Nothing compounds.
Shipping requires heroics, freezes, and a war room. The team has learned to dread its own deployment day.
Leadership sets direction, sprints fill with tickets, and nobody can trace one to the other.
Velocity charts go up and to the right while stakeholders ask why nothing they care about has shipped.
Standards exist in some heads and some repos. First-time quality is a lottery.
The reframe
A team that has worked for years without compounding is almost never a talent problem. It is a systems problem: unclear ownership, uncontrolled work-in-progress, invisible queues, and quality checked at the end instead of built in. We install the operating rhythm that makes good work the default, then transfer it so it keeps running without us.
The framework
One rhythm from strategy to release, with quality gates as checkpoints, not afterthoughts.
This is the system we install: one rhythm from strategy to release, with quality gates as checkpoints instead of afterthoughts.
Who owns what, end to end?
An ownership model where every capability, service, and outcome has a name attached.
How does work flow?
Delivery cadence and rituals that control work-in-progress and make queues visible.
What is the standard?
Quality gates, review discipline, and pipeline hygiene that make first-time quality normal.
The process
Where work waits, where it bounces back, where quality escapes. Measured, not assumed.
Ownership model, cadence, quality gates, and the metrics that matter: first-time yield, system availability, work-in-progress.
We run the rituals alongside your leads until the rhythm is theirs, adjusting the system to your reality instead of a textbook.
Playbooks, documentation, and a leadership dashboard. You keep the gains, not a dependency.
Deliverables
Including the operating metrics: first-time yield, system availability, work-in-progress.
the traceability ladder
The deliverables snap into this ladder, so every ticket in a sprint can be traced back to the idea — and the reason — it came from.
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 the way your organization turns strategy into shipped software: ownership model, delivery cadence, quality gates, and a traceable line from business goal to sprint to release. We install it as a working system, not a slide deck.
It is almost never the people — it is the system: unclear ownership, uncontrolled work-in-progress, invisible queues, and quality checked at the end instead of built in.
Control work-in-progress, make queues visible, set a release cadence, and add quality gates as checkpoints. Predictability is a property of the system, not of individual effort.
Through a traceability ladder: ideas → opportunities → capabilities → features → user stories → sprints → releases. Every ticket can be traced back to the reason it exists.
Releases become fear events when quality is inspected at the end. We install definition of done, PR discipline, CI/CD hygiene, and rollback safety so releases become routine.
We do not install a framework by the textbook. We diagnose where work waits and quality escapes — measured, not assumed — then install a rhythm adjusted to your reality and coach it into habit.
The ones that reflect value, not activity: first-time yield, system availability, and work-in-progress — plus strategy-to-release traceability for leadership.
Weeks 1–2 diagnosis, weeks 2–6 installing the rhythm, weeks 4–8 coaching it into habit, then transfer with playbooks and a leadership dashboard.
The opposite. The system removes negotiation overhead — every project stops reinventing its own rituals, and engineers spend more time building and less time coordinating.
Playbooks, documentation, operating metrics, and leads who run the rituals themselves. You keep the gains, not a dependency.
