Customer support agents, sales qualification agents, internal knowledge agents — bilingual, context-aware, and wired into your real systems.
Most AI agent projects in the region fail for the same reason — they're chatbots pretending to be agents. No memory, no tools, no access to real systems, no ability to complete a task end-to-end.
We deploy agents the way engineering teams deploy services. Tool access, RAG over your real content, escalation paths, and evaluation harnesses. Built to handle real work, not demo traffic.
If it can't book the appointment, it's not an agent.
Phase 01
Use case + success criteria
Define exactly what the agent must accomplish — booking, qualification, answering, routing. Success criteria written before any code.
Deliverables
Phase 02
Tools, memory, RAG
Agent architecture — which tools, what memory, which knowledge sources, how escalation works. Tied to the success criteria.
Deliverables
Phase 03
RAG + knowledge base
Ingest and structure your real content — documents, SOPs, product data — into a RAG layer the agent can reason over.
Deliverables
Phase 04
Agent + tools + evaluation
Build the agent, wire the tools, implement the evaluation harness. Deploy to staging against synthetic traffic.
Deliverables
Phase 05
Real traffic, phased rollout
Phased rollout behind feature flags. Real-user traffic with fallback paths and human escalation always available.
Deliverables
Phase 06
Monthly evaluation + improvement
Monthly review of success metrics, failure modes, and user feedback. The agent improves every month against a fixed evaluation harness.
Deliverables
We deploy AI agents the way engineering teams deploy services. Tool access, RAG over real content, escalation paths, and evaluation harnesses — built to handle real work, not demo traffic.
Tool access, memory, and RAG — not a prompt wrapper. Agents that complete tasks, not just reply.
Arabic reasoning, Arabic responses, Arabic tool calls. Not English-first with a translation layer.
Every agent ships with an evaluation harness. We measure, not guess.
CRMs, calendars, databases, WhatsApp. Agents that act, not just answer.
Each package combines specific capabilities. Every deployment scoped individually.
Each shows the agent we shipped. All demos — not client work.
Every agent ships with real tool access, real memory, and real evaluation.
Every TETRA-built agent is scoped to a precise set of capabilities — Read, Write, Decide, Escalate. Production agents are tested like code, not deployed like demos.
Share your use case and receive a tailored agent scope within 48 hours.