LLM product features
In-app assistants, document tools, and support copilots with prompts and evals you can change without redeploying the whole app.
AI engineering · South Africa
AI Software Development Company South Africa
We build AI features as part of real products, not slide decks. LLM workflows, agents, and integrations sit on maintainable TypeScript backends with human review, logging, and clear ownership.
Capabilities
What we build
Senior-led delivery from Qwabi Engineering: architecture, implementation, and production ownership in one accountable team.
Custom AI agents
Agents that call your APIs, respect roles, and stop for approval on high-risk actions.
RAG and knowledge bases
Search over policies, manuals, and tickets with citation-friendly answers for staff or customers.
Workflow automation
Email triage, lead scoring, and ops tasks where AI drafts and humans confirm.
Governance and observability
Logging, cost caps, PII rules, and test sets so AI behavior is debuggable in production.
How we work
- 01
Use-case selection
We pick one workflow with measurable time saved. Vanity chatbots without owners are out of scope.
- 02
Data and safety review
Sources, retention, and what the model must never do. Documented before prompts go wide.
- 03
Pilot in staging
Real documents and API sandboxes. Staff test with feedback loops before customer exposure.
- 04
Production rollout
Monitoring, fallbacks, and handover so your team can tune prompts and swap models.
AI software development pricing (ZAR)
Model API spend is separate. These bands cover engineering, integration, and operational hardening. Get a scoped estimate or read the full 2026 cost guide.
AI copilots & workflow automation
Focused AI layers on top of software you already run. Scoped so models, prompts, and guardrails stay maintainable.
| Scope | Typical range (ZAR) |
|---|---|
Single workflow pilot One high-volume task (support triage, doc Q&A, internal search) with human review. | R45k – R120k |
Multi-workflow rollout Several connected flows, admin tuning, logging, and role-based access. | R120k – R320k |
Production AI operations Monitoring, evals, model routing, and integration across CRM, ERP, or data warehouse. | R320k – R750k+ |
LLM API usage (OpenAI, Anthropic, etc.) is billed separately or passed through at cost.
Custom AI agents & orchestration
| Scope | Typical range (ZAR) |
|---|---|
Task agent MVP One agent with tools (email, calendar, CRM lookup) and approval gates. | R80k – R200k |
Multi-agent system Handoffs between agents, structured outputs, audit trails, staging environments. | R200k – R550k |
Enterprise agent platform SSO, policy layers, observability, and integration with legacy APIs. | R550k – R1.2m+ |
Shipped work
AI shipped inside products people use daily, not isolated demos.
Frequently asked questions
Need an AI software development partner?
Describe the workflow on WhatsApp or use the estimator. We suggest a pilot scope and ZAR range.