Digital Transformation - From Strategy to Shipped
Digital transformation is a strategy problem, an engineering problem, and a change-management problem - usually in that order. We do all three, and we measure the work by what gets shipped, not by the deck.
- 1AssessmentCurrent-state audit of systems, processes, data
- 2StrategyTarget architecture & sequenced roadmap
- 3Design & BuildFirst production slice in 8–12 weeks
- 4ImplementationSprint-based delivery with weekly demos
- 5AdoptionPilot rollout & co-built training
- 6MonitoringLive dashboards on the business metric
- 7ImprovementIterate on what dashboards say, not feelings
Phases 1–3 typically combine into the first 8–12 weeks and produce something live in production.
What you get
When it fits
- Leadership has named the outcome - revenue, margin, retention, time-to-market - not 'go digital'
- There's a budget and a sponsor for both engineering and adoption, not just engineering
- You'd rather modernize the highest-value system in 12 months than every system in five years
- You can tolerate the change - the system that ships isn't going to look exactly like the system that exists
When it doesn't
- The transformation is owned by IT alone, with no business sponsor
- The org isn't ready to retire any process - modernization without rationalization usually fails
- The success criterion is 'modernization' as an end in itself, with no business metric
Process
Seven phases: assessment, strategy formulation, design & development, implementation, training & adoption, monitoring & feedback, continuous improvement. The first three are usually 8–12 weeks combined and produce something live in production. The rest is operating cadence: shipping every sprint, measuring adoption, and iterating based on what the dashboards say rather than what the steering committee feels.
Full delivery processPricing
Fixed-price by phase, with each phase contracted only after the previous one delivers. Larger engagements run as a dedicated team or pod on quarterly cycles. We'll tell you which phase to start in - usually it isn't the one you expected.
See engagement modelsCase studies
Residential Access Control System
A beautifully simple portal to interconnected secure environments, delivering ease of use and peace of mind for residential communities.
FinTech Mobile Banking Platform
Secure, AI-powered mobile banking serving 500K+ users with instant transfers and biometric authentication.
Multi-Vendor E-Commerce Platform
Scalable marketplace processing $10M+ monthly with AI recommendations and real-time inventory management.
AI-Powered Applicant Tracking System
Comprehensive ATS solution with AI-driven candidate matching, automated resume parsing, and real-time recruiter-candidate communication serving 10K+ monthly candidates.
FAQ
- Where do we start - strategy, or just shipping something?
- Both, in that order, in the same engagement. Pure strategy without an early shipped artifact tends to produce a deck nobody operates. Pure shipping without strategy produces a faster version of the existing mess. The first 8–12 weeks combine assessment, target architecture, and a first production slice.
- How do you handle legacy systems we can't replace?
- Strangler-fig pattern: build new capability alongside the legacy system, route traffic incrementally, and retire the old surface only when the replacement is proven. We don't promise heroic cutovers - they don't usually finish.
- What technologies do you use?
- Frontend: React, Next.js, React Native, Flutter. Backend: Node.js, Python, GraphQL. Data: PostgreSQL, MongoDB, DynamoDB. DevOps: Docker, Kubernetes on the cloud you already use. Choice is driven by your existing stack and the people who'll operate it after we leave - not by what's interesting.
- How do you handle adoption and change management?
- Adoption is engineered, not hoped for: pilot groups, in-product onboarding, training materials co-built with the team, and adoption dashboards from day one. If a rollout has 20% usage at month three, we treat that as a bug to fix - not a people problem.
- How do you measure success?
- Business metric agreed at the start (revenue per user, cycle time, support tickets per customer, etc.), instrumented in production, on a dashboard your leadership team sees. Project status is whether the metric moved, not whether the Jira board is green.

Who builds it
Our own team, working from our office in East Sarajevo, Bosnia and Herzegovina. The engineers on your scoping call are the ones who build it.
Meet the team