When an Off-the-Shelf Tool Will Not Cut It
Production AI software, engineered for your use case and your data. Internal copilots, customer-facing assistants, decision tools, and workflow products. Your brand, your domain, your IP.
Indicative scope
- function
- internal copilot
- volume
- ~600 documents/week
- region
- tenant-private
Indicative scope. Real engagement values confirmed at proposal.
What We Deliver
Off-the-shelf AI tools are great when your use case is generic. When it is not, the economics flip and the friction compounds. We build custom applications for teams whose work is specific enough that a horizontal tool cannot carry it. Internal copilots that know your pricing rules. Customer-facing assistants that read your product catalogue. Decision tools that apply your risk framework. The output is production software with a codebase, documentation, monitoring, and a handover path.
Everything Included
Fits Your Work Exactly
Built against your real workflows, your real data, and your real users. No adaptation, no workarounds.
Owned by You
You own the codebase, the model outputs, and the product IP. No vendor lock-in.
Production-Grade from Day One
Monitoring, logging, error handling, and CI-CD shipped with the build. Production code on day one, no rebuild before launch.
Runs on Your Data
Retrieval-augmented generation over your documents, catalogues, policies, or transactional data. The model answers from your world, not the internet.
Branded End-to-End
Your design system, your copy voice, your domain, your auth. It looks like your product because it is your product.
POPIA-Built
Personal data handling is designed into the architecture, not patched in later. Audit logging, retention, and lawful basis mapped at the schema 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 application your team uses daily
- A codebase, documentation, and monitoring you own and can extend
- Measurable impact on the workflow the application was built for
- A model-behaviour baseline for ongoing evaluation
- A handover path so your team can run and evolve it without us
Our Process
Discovery
Workshop to define the user, the workflow, the data sources, and the success measures.
Architecture
Technical design covering model choice, retrieval architecture, data flows, and integration points.
Prototype
Working prototype in weeks three to four, with real data and real users testing it in a staging environment.
Build
Production engineering against the proven prototype. CI-CD, monitoring, and documentation land as the code lands.
Pilot
Controlled rollout to a pilot group. We watch, log, tune, and iterate based on real usage.
Handover
Full deployment with documented runbooks, monitoring dashboards, and training for your team.
Your Custom 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