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.
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.
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.
Delivery phases
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.
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.
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.
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.
FAQ
Common questions
Every engagement is led by a senior triad, Tech Lead, Design Lead and Product/Delivery Lead, supported by engineers, QA and DevOps. That squad owns outcomes, architecture and day-to-day delivery instead of just closing tickets, with regular demos, clear documentation and direct access for your stakeholders.
We usually start with a 30–45 minute discovery or triage call, followed by a short paid discovery or scoping sprint to clarify goals, scope and feasibility. From there, we move into delivery in well-defined phases with milestones, demos and clear success criteria, ending with launch, handover and, optionally, ongoing development or DevOps.
For new products or complex work, yes: a focused discovery or scoping sprint saves time and risk for both sides. For smaller, well-understood increments on existing systems, we can sometimes go straight into a small delivery phase after a structured triage call.
We use predictable cadences: weekly or bi-weekly check-ins, written updates, demo sessions and shared roadmaps. You always know who is working on what, what's shipped recently and what's coming next, with transparent conversations if trade-offs or changes are needed.
Both. A lot of our work is on products that already exist, whether adding to a React, Node, NestJS or .NET app, untangling a stalled build or rebuilding the parts that are holding you back. We start by reading the code and the data model, agreeing what stays, what gets refactored and what gets replaced, then shipping a first real slice before any large rewrite. We don't insist on a greenfield restart to feel comfortable, and we won't hand you back a black box.
Both are on the table, and you choose. Many relationships continue as a retainer where we operate the product: monitoring, alerts and health checks on long-running systems, backup and restore strategies that cover disaster recovery, cost control and security hardening as it grows. We don't sell a fixed uptime guarantee or 24/7 on-call as a default. We agree the operational scope and response expectations with you up front. If you'd rather run it in-house, we hand over with documentation and runbooks so you're not dependent on us for basic operations.
No. The same senior triad that built the MVP can carry straight on as a dedicated squad once you've validated direction or closed a round, usually on a retainer rather than another fixed-scope phase, since the roadmap is moving by then. There's no handover to a different, more junior team.
If you'd rather take it in-house, the clean architecture, documentation and runbooks are built so your own engineers can pick it up without a rewrite.
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.
Build faster with AI
Our playbook for integrating AI into product design and development workflows.
Download the playbook