From Discovery
to Deployment.
A lean, proven engineering process honed across 150+ projects globally. Whether you're building an AI-integrated MVP in 8 weeks or running a 12-month enterprise program, our framework gives you clarity, control, and confidence at every stage.
Discovery & Scoping
A deep-dive workshop into your goals, users, competitive landscape, and technical constraints. For AI projects this extends to data readiness, model selection rationale, safety guardrails, and fallback architecture. This phase is non-negotiable — it's where we prevent 80% of the problems that sink software projects.
Deliverables
- Scope Document
- Feature Prioritisation Matrix
- Timeline Draft
- Risk Register
- AI: Data Readiness Report
- AI: Model Selection Rationale
Architecture & Design
Our solutions architects and senior designers translate requirements into system design, tech stack recommendations, and interactive UI prototypes. For AI systems we design the full data pipeline: ingestion, preprocessing, vector storage, retrieval logic, and output validation. Architecture is validated with your team before development begins.
Deliverables
- System Architecture Diagram
- Tech Stack Decision Doc
- Figma Prototype
- Data Model
- AI: Architecture Blueprint
- AI: Vector DB Design
Rapid development using AI agents with experienced software engineers
AI agents pair with senior engineers to accelerate every sprint — scaffolding features, writing tests, and drafting PRs while our team reviews, hardens, and ships. You get weekly velocity you can see, with daily standups, sprint demos, and retrospectives. No surprises.
Deliverables
- Working software every sprint
- Sprint Report
- Bug Tracker
- Test Coverage Report
- Demo video per sprint
QA & Testing
Every feature goes through automated unit / integration tests, manual QA review, load testing, and security scanning before reaching production. For AI features we run adversarial prompt testing, output quality evaluation, hallucination stress testing, and latency benchmarking.
Deliverables
- QA Test Plan
- Automated Test Suite
- Load Test Results
- Security Audit Report
- AI: Adversarial Test Report
- AI: Model Evaluation Scorecard
Launch & Growth
We manage production deployment, set up monitoring and alerting, and provide structured post-launch support. For AI features we configure drift monitoring, A/B testing for prompt variants, and automated retraining triggers. After launch, we offer ongoing retainer support, performance optimisation, and roadmap execution.
Deliverables
- Deployment Runbook
- Monitoring Dashboard
- Post-Launch Support Plan
- AI: Model Drift Dashboard
- AI: Retraining Schedule
Every great build starts here.
30-minute discovery call. We'll map your goals and tell you honestly whether we're the right partner.