Apps Where AI Is a Feature, Not an Afterthought
Mobile and web apps built from the schema up with AI inside. Copilots. Summarisation. Natural-language search. Agentic workflows. Built for production, shipped at a pace that beats a traditional agency.
Indicative scope
- function
- iOS and Android
- volume
- twelve-week build
- region
- tenant-private
Indicative scope. Real engagement values confirmed at proposal.
What We Deliver
The gap between apps with AI features and apps without them is widening. Users who try a product with an AI copilot have a hard time going back to products without one. We build apps for teams who know this and want to lead the wave, not follow it. The AI layer is designed into the schema, not bolted on later. The build is fast because AI does the scaffolding, and the product is a real product, not a demo.
Everything Included
AI as First-Class Feature
Copilots, summarisation, natural-language search, and agentic workflows designed into the data model from day one.
Shipped Faster
AI-accelerated scaffolding, code review, and QA cuts typical build time by a third or more.
Native and Cross-Platform
iOS, Android, and web from a single codebase where it fits. Native where it does not.
Owned by You
You own the codebase, the AI prompt design, and the product IP. No vendor lock-in.
Production-Grade Observability
Monitoring, logging, error handling, and CI-CD from commit one. Production code on day one, no rebuild before launch.
POPIA-Aligned
Personal data handling designed into the schema. Audit logging, retention, lawful-basis mapping at the record level.
What Success Looks Like
Every engagement is defined by the outcomes we commit to. Work output matters only to the extent that those outcomes land.
- A production AI app on the platforms your users actually use
- AI features that users notice and return for
- A codebase and prompt design you own and can extend
- Monitoring and observability that catches problems early
- A handover path so your team can run and evolve the product
Our Process
Product Discovery
User, workflow, data model, and AI features scoped against a clear outcome measure.
Architecture
Technical design covering platform, backend, data model, AI integration points, and scaling path.
Prototype
Working prototype in weeks three to four, with real data and a pilot user group.
Build
Production engineering against the proven prototype. Weekly builds from week two.
Pilot
Controlled rollout to pilot users. We watch, log, tune, and iterate on real usage.
Launch and Handover
Full deployment with documentation, monitoring, and training for your team.
Your AI Apps questions, answered
STATUS // RESPONSE WITHIN ONE BUSINESS DAY
Tell us the function.
Share the cost line you want to address. We will come back inside one business day with a scoped proposal.
Across the practice
Other ways we replace expensive work
Core AI