What is AI agent development?

It is software that plans steps, calls tools (APIs, search, email), and returns structured results. Good agents include logging, approvals, and clear boundaries.

Are agents safe for customer-facing use?

Only with review flows and tested prompts. We default to human approval for financial, legal, and reputational actions.

Which frameworks do you use?

We pick orchestration based on maintainability, often LangChain-style patterns or lightweight custom runners on TypeScript backends.

Can agents run on our existing app?

Yes, when your APIs and auth model support it. We scope integration effort explicitly in the proposal.

AI agents · South Africa

AI Agent Development in South Africa

We build agents that do real work inside your product: lookup CRM records, draft replies, schedule follow-ups, and stop for human approval when money or compliance is involved.

Message on WhatsApp Scope and estimate Free cost guide

Capabilities

What we build

Senior-led delivery from Qwabi Engineering: architecture, implementation, and production ownership in one accountable team.

Task agents

Single-purpose agents with a small tool set and clear success metrics.

Multi-step orchestration

Handoffs between steps with structured outputs your app can verify.

Approval gates

Humans confirm payouts, contract changes, and customer-facing messages before send.

Tool integrations

CRM, email, calendars, and internal APIs exposed as typed tools, not free-form shell access.

Observability

Traces, cost tracking, and replay so you can debug agent behavior in production.

How we work

01
Agent charter
Allowed actions, forbidden actions, and escalation paths written before code.
02
Tooling and sandbox
API wrappers and staging data so agents train on realistic but safe inputs.
03
Pilot with operators
Staff use agents on real queues with feedback before customer-facing automation.
04
Harden and scale
Rate limits, fallbacks, and model routing as volume grows.

AI agent development pricing (ZAR)

Agent complexity and number of integrations drive quotes. Model API costs are estimated separately. 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)	Timeline
Single workflow pilot One high-volume task (support triage, doc Q&A, internal search) with human review.	R45k – R120k	3–6 weeks
Multi-workflow rollout Several connected flows, admin tuning, logging, and role-based access.	R120k – R320k	2–4 months
Production AI operations Monitoring, evals, model routing, and integration across CRM, ERP, or data warehouse.	R320k – R750k+	4–8 months

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)	Timeline
Task agent MVP One agent with tools (email, calendar, CRM lookup) and approval gates.	R80k – R200k	4–8 weeks
Multi-agent system Handoffs between agents, structured outputs, audit trails, staging environments.	R200k – R550k	3–6 months
Enterprise agent platform SSO, policy layers, observability, and integration with legacy APIs.	R550k – R1.2m+	6–12 months

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

Agents shipped with guardrails, not unattended experiments.

Queens Connect

Conversational agent with local knowledge and safety boundaries.

AIAgents

OpenAI

Kingly

Structured prompt and document agents for developer workflows.

ReactTools

Laundry Marketplace

Operations platform where agent-assisted support can extend over time.

Next.jsMarketplace

Frequently asked questions

Planning AI agents for real workflows?

Describe tasks, systems, and risk tolerance on WhatsApp or use the estimator. We propose a pilot and ZAR range.

Get an estimateWhatsApp Cost guide