Project Summary

A rapidly scaling Ugandan health‑tech vendor struggled to turn product ideas into production systems fast enough for its 100+ client facilities. Wanyana Africa led a six‑month engagement using our GISE™ framework, DevOps modernization, and AI‑assisted design tooling.

Client Profile

Industry & Sector

Healthcare software (patient & facility management)

Company Size

20+ employees, headquartered in Kampala, serving 100+ facilities across East Africa

Digital Maturity

Scale‑up

Services Applied

Strategic Consulting, GISE™

The Challenge

Streamline Health's growth outpaced its engineering processes: • No end‑to‑end visibility into feature flow; KPIs were undefined • Release cadence lagged behind market demand, risking customer churn • Rapid hiring created process drift and inconsistent quality A GenAI‑supported approach was attractive to surface bottlenecks quickly and inject automation without over‑burdening the team.

Our Solution & Approach

We led a six‑month engagement using our GISE™ framework, DevOps modernization, and AI‑assisted design tooling through four key phases:

1. Discovery workshop – mapped current SDLC, interviewed leadership, product, and engineering teams

2. Diagnosis & Design – identified high‑impact quick wins vs. structural changes, prioritised with RICE scoring

3. Implementation (6 months)
• Introduced GitHub Flow with protected branches and automated checks
• Deployed AI‑assisted design & requirements capture to shorten upfront speccing
• Built a lightweight DevOps pipeline for continuous delivery

4. Coaching & Follow‑up – bi‑weekly sessions tracking KPIs and removing blockers

Tech Stack Highlights

  • GitHub Actions, Docker, Infrastructure‑as‑Code
  • AI design assistants (OpenAI + Figma plugins)
  • VS Code AI pair‑programming extensions

Measurable Results

KPIBaseline6‑Month Result
Mean idea→deploy lead‑time8 weeks6 weeks (‑25%)
Story throughput / sprint2229 (+32%)
First‑time PR acceptance71%87% (+16 pp)
The initiative delivered a measurable 25% reduction in idea‑to‑market cycle time, laying the groundwork for even greater agility in a continuing second‑phase rollout.

Technical Highlights

Pull‑Request Automation – semantic‑release, commit‑lint, and AI summarisation bots
AI‑Driven Design – generated low‑fidelity mock‑ups in local languages to speed stakeholder validation
Upskilling African Developers – ran targeted workshops to boost confidence with GenAI tools, mitigating skill‑gaps unique to the region

Client Testimonial

"Wanyana helped us look at our pipeline with fresh eyes. The AI tooling alone paid off in the first weeks."
Head of Engineering
Streamline Health

Reflection & Lessons Learned

Define KPIs early – numbers create focus and rally the team
Balance quick wins with structural fixes – morale matters in fast growth
Invest in enablement – hands‑on coaching accelerates GenAI adoption
Next time we would seed internal champions sooner to sustain momentum without external support

Management has committed to an extended partnership to push the gains even further in Phase 2.

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