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Our approach

Senior product squads and AI-augmented delivery, built to ship fast.

We pair compact senior-led squads with AI-augmented workflows and a structured delivery model. Discovery and UX, engineering, launch, then long-term care.

  • Senior Tech, Product and Design leads on every engagement.
  • AI used as an accelerator across the lifecycle; humans own the decisions.
  • Clear phases from kickoff to handover, then continuous development.
Tell us about your project
Your squad

With AI in the loop

Every engagement runs through a compact senior squad: Tech, Product and Design leads, supported by engineers, QA and DevOps. AI runs inside that delivery loop, not a separate lab. Humans own architecture, security and the product calls, under a written AI Use Policy.
Your Core Squad
Where AI helps?

Tech lead

ArchitectureCode qualityTechnical risk
Research, competitor scans and tech docs
Code assistance, refactors and test scaffolding
Log analysis, regression ideas and incident triage

Product manager

RoadmapStakeholdersOutcomes
Structured insights from interviews and data
Backlog refinement and feature specs
Docs, release notes, runbooks

Design lead

UX flowsDesign systemsEngineering handoff
Competitive UX analysis and research synthesis
UX variations, components and microcopy
Visual QA and design system checks
Your Core Squad

Tech lead

ArchitectureCode qualityTechnical risk
Where AI helps?
  • Research, competitor scans and tech docs
  • Code assistance, refactors and test scaffolding
  • Log analysis, regression ideas and incident triage

Product manager

RoadmapStakeholdersOutcomes
Where AI helps?
  • Structured insights from interviews and data
  • Backlog refinement and feature specs
  • Docs, release notes, runbooks

Design lead

UX flowsDesign systemsEngineering handoff
Where AI helps?
  • Competitive UX analysis and research synthesis
  • UX variations, components and microcopy
  • Visual QA and design system checks
The journey

From kickoff to continuous development

The same delivery model runs on every engagement, adapted to your context.

  1. Kickoff and alignment

    You start with the senior people who will run the work, not a sales handoff. In the first weeks we agree on goals and the real limits on budget and timeline. The Tech, Product and Design leads each own their side from day one.

  2. Discovery and shaping

    We pressure-test the idea against real users and your stack before we commit to a plan. Work gets sorted into must, should and could, then shaped into thin slices that can actually ship. Scope gets sharper and smaller, not longer, and the trade-offs are written down now instead of found later.

  3. Architecture and plan

    Senior leads decide the architecture, the integrations and the release path. AI speeds up the exploration; the calls on architecture, security and what ships stay human-owned. Estimates are honest and tied to a real release plan, not an optimistic forecast.

  4. Delivery cycles

    We build in short cycles with weekly demos and a stable release rhythm. AI-augmented work runs through mandatory senior review, on top of the CI and code review discipline that keeps the pace sustainable. You see working software early and often, not status decks.

  5. Hardening and the last 10%

    We schedule time for the last 10%: edge cases, performance budgets, security and the observability that makes a product dependable in real use. This is reserved work, not whatever is left when the timeline slips. That last 10% is where fragile products fail.

  6. Launch and handover

    We ship with you, not over the wall. Your team gets the runbooks and docs to run and extend what we built, with a retro on what worked and what we would change. Then we agree what the next phase looks like.

  7. Continuous development

    Most of our work is long-term. The same senior squad stays on to grow the product as the roadmap and the users move, so context is never lost to a handover. Velocity compounds when the team already knows the codebase instead of starting from zero each quarter.

Velocity, defined

We measure speed with a small set of signals

Faster delivery only means something if we can show it. So we track a small set of delivery and quality signals on every engagement, tuned to your tooling. In case studies we report before-and-after deltas where we have them, not generic multipliers.

Signals we watch

  • Lead time for changesDelivery

    From ready to running in production.

  • Cycle timeDelivery

    From starting work to done.

  • Deployment frequencyDelivery

    How often we can release safely.

  • Change failure rateQuality

    How often a release causes an incident or rollback.

  • Defect escape rateQuality

    Issues found after release versus before.

  • Time to first usableDelivery

    How fast stakeholders see a working slice.

Quality gates that keep velocity sustainable

We reserve time for the last 10%. That is where fragile products fail.

  • A clear definition of done

    Acceptance criteria, tests, docs where needed.

  • Senior code review

    On critical paths.

  • Automated CI checks

    Tests, linting, builds, release checklists.

  • Stabilisation time

    For edge cases, polish and performance.

Working together

Calm, predictable delivery, no surprises

Every product engagement has unknowns: legacy systems, integrations, approvals. We surface them early, write them down and manage change deliberately, instead of letting scope creep in quietly.

  1. Predictable cadence

    Weekly or bi-weekly demos, defined milestones and a stable release rhythm. Squads in Montenegro and Canada give planned overlap with Europe, the UK and North America, with structured async around it.

  2. Scope you can see

    A scope baseline of thin slices, an assumptions list and visible change requests. When scope shifts, we write down the impact on time, cost and quality, then agree the trade-off.

  3. Decisions on the record

    A decision log and a risk log live in tickets, PRs and docs, not only in calls. Third-party dependencies are tracked openly, so delays are visible early.

  4. What we need from you

    Engaged stakeholders who can decide, realistic constraints on goals, budget and timeline, and feedback at the cadences we agree. Calm delivery is a two-way commitment.

By role

What our approach means for you

What working with us looks like for founders, product leaders and engineering leaders.

For business and startup founders

A senior partner who turns an idea or pitch deck into a scoped MVP and a real roadmap, with honest trade-offs on scope, budget and timeline.

For product leaders and PMs

A plug-in squad that owns discovery, UX and delivery for parts of your roadmap, with predictable cadences and clear reporting.

For CTOs and engineering leaders

A team that respects your architecture and standards, leaves systems healthier than it found them and uses AI to reduce risk, not add it.

For business and startup founders

A senior partner who turns an idea or pitch deck into a scoped MVP and a real roadmap, with honest trade-offs on scope, budget and timeline.

For product leaders and PMs

A plug-in squad that owns discovery, UX and delivery for parts of your roadmap, with predictable cadences and clear reporting.

For CTOs and engineering leaders

A team that respects your architecture and standards, leaves systems healthier than it found them and uses AI to reduce risk, not add it.

FAQ

Common questions

Our approach

Want to see if this approach fits your product?

Share a bit of context and we will help you find the right mix of discovery, MVP delivery and long-term support. If we are not the right match, we will say so and point you elsewhere.

See how we price

Build faster with AI

Our playbook for integrating AI into product design and development workflows.

Download the playbook