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AI Division

AI agents that actually work for your business.

Customer support agents, sales qualification agents, internal knowledge agents — bilingual, context-aware, and wired into your real systems.

6Agents
AR + ENNative
3–8 wkDeploy
Why AI Agents

If it can't book the appointment, it's not an agent.

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.
The cost of bad AI deployment

Four ways weak AI deployments quietly hurt the business.

71%

Chatbot abandonment

GCC users abandon chatbot conversations at this rate when bots can't complete the task.

citation pending
3×

Support escalation

Badly-deployed AI agents triple human-agent escalations vs well-scoped deployments.

citation pending
4 in 5

Arabic failures

Arabic-first users get responses that read as translated English — erodes trust on first message.

citation pending
0

Tool calls

Typical number of real tool calls in 'AI agent' projects shipped as pure chatbots.

citation pending
Process

Six phases. Real evaluation. No demoware.

Phase 01

Scope

Use case + success criteria

Define exactly what the agent must accomplish — booking, qualification, answering, routing. Success criteria written before any code.

Deliverables

  • Use case doc
  • Success criteria
  • Evaluation harness plan
  • Risk register

Phase 02

Architecture

Tools, memory, RAG

Agent architecture — which tools, what memory, which knowledge sources, how escalation works. Tied to the success criteria.

Deliverables

  • Tool spec
  • Memory design
  • RAG architecture
  • Escalation paths

Phase 03

Data

RAG + knowledge base

Ingest and structure your real content — documents, SOPs, product data — into a RAG layer the agent can reason over.

Deliverables

  • Content ingestion
  • Chunking + embeddings
  • Retrieval tuning
  • Quality checks

Phase 04

Build

Agent + tools + evaluation

Build the agent, wire the tools, implement the evaluation harness. Deploy to staging against synthetic traffic.

Deliverables

  • Agent deployed
  • Tools wired
  • Eval harness
  • Staging tests

Phase 05

Launch

Real traffic, phased rollout

Phased rollout behind feature flags. Real-user traffic with fallback paths and human escalation always available.

Deliverables

  • Feature flags
  • Phased rollout
  • Monitoring
  • Human handoff

Phase 06

Evolve

Monthly evaluation + improvement

Monthly review of success metrics, failure modes, and user feedback. The agent improves every month against a fixed evaluation harness.

Deliverables

  • Monthly eval
  • Failure analysis
  • Prompt refinement
  • New capabilities
Who This Is For

AI Agents fits teams at these turning points.

01

Support at scale

Support teams hitting volume they can't hire past — need Arabic-first agents that can resolve common requests end-to-end.

02

Sales qualification

Sales teams losing to slow first-touch — need qualifying agents that handle inbound 24/7 with business-owner context.

03

Internal knowledge

Organisations with real knowledge buried in documents — need internal agents employees can ask, not search.

Why TETRA

What makes our agent practice different.

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.

01

Agents, not chatbots

Tool access, memory, and RAG — not a prompt wrapper. Agents that complete tasks, not just reply.

02

Arabic-native

Arabic reasoning, Arabic responses, Arabic tool calls. Not English-first with a translation layer.

03

Evaluation-driven

Every agent ships with an evaluation harness. We measure, not guess.

04

Wired into real systems

CRMs, calendars, databases, WhatsApp. Agents that act, not just answer.

Investment

Choose your depth. Deploy with confidence.

Each package combines specific capabilities. Every deployment scoped individually.

63%scope

Agent Starter

One agent, one use case, one evaluation harness — deployed to production with real traffic.

3–4 weeks
Customer Support AgentsAgent Evaluation
What's included
Single agent
RAG
Tools
Evaluation
—
Multi-agent
—
Custom models
Bilingual
—
Routing
Scope coverage
One agent deployed to productionRAG over your content (up to 500 documents)Up to 3 tool integrationsEvaluation harness and monthly reviewArabic + English
Request Quote
Recommended
88%scope

Agent Platform

Multiple agents, shared tools, evaluation infrastructure — an agent platform your team can extend.

6–8 weeks
Customer Support AgentsSales Qualification AgentsInternal Knowledge AgentsAgent Evaluation
What's included
Single agent
RAG
Tools
Evaluation
Multi-agent
—
Custom models
Bilingual
Routing
Scope coverage
Everything in StarterUp to 3 agents with shared infrastructureUnlimited tools and integrationsAgent routing and orchestrationMonthly optimisation retainer
Request Quote
100%scope

Agent Ops

Enterprise agent operations — custom model choice, advanced evaluation, and ongoing agent engineering as a retained service.

8 weeks + retainer
Customer Support AgentsSales Qualification AgentsInternal Knowledge AgentsVoice AgentsWhatsApp AgentsAgent Evaluation
What's included
Single agent
RAG
Tools
Evaluation
Multi-agent
Custom models
Bilingual
Routing
Scope coverage
Everything in PlatformCustom model choice (Anthropic, OpenAI, Cohere)Advanced evaluation and A/B testingDedicated agent engineerQuarterly capability roadmap
Request Quote

Flexible Scope

Flexible Scope

Bespoke.

Book Consultation
Proof · Twelve demos

Twelve agents we deployed into real workflows.

Each shows the agent we shipped. All demos — not client work.

Demo · not client work
Six services

Six services. Agents that work.

Every agent ships with real tool access, real memory, and real evaluation.

01 / 06

Customer Support Agents

Arabic and English support agents that resolve tickets end-to-end — not just route them to humans.

End-to-endArabic nativeTool calls
Learn more
02 / 06

Sales Qualification Agents

Inbound qualifying agents — lead scoring, discovery, calendar booking, CRM sync.

QualifyingBookingCRM sync
Learn more
03 / 06

Internal Knowledge Agents

Agents employees can query — over SOPs, policies, product docs, contracts.

RAGPermissionsAudit log
Learn more
04 / 06

Voice Agents

Arabic and English voice agents for phone channels — appointment booking, FAQ, routing.

VoiceArabic TTSRouting
Learn more
05 / 06

WhatsApp Agents

WhatsApp Business agents that handle the whole conversation — not just the first reply.

WhatsApp BusinessMediaHandoff
Learn more
06 / 06

Agent Evaluation

Evaluation harnesses for agent teams — offline eval, online monitoring, failure analysis.

Offline evalOnline monitoringA/B
Learn more
Agent capability matrix

Agents are operators with a job description.

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.

Agent typeReadWriteDecideEscalate
Customer support
Lead qualification
Appointment booking
Knowledge agent (RAG)
Internal ops copilot
Questions

Frequently asked

We work with Anthropic Claude, OpenAI GPT, and regional providers depending on use case, Arabic quality requirements, and data residency. No vendor lock-in.

Yes. Agents have tool access, memory, and the ability to complete multi-step tasks. Chatbots reply from a prompt. We build agents, with evaluation to prove it.

Model selection, Arabic-first prompts, Arabic RAG indexing, and Arabic-specific evaluation. Not a translation layer over English-first design.

Every agent deploys with explicit escalation paths and human handoff. Failure modes are identified in the evaluation harness before production, not after.

Ready to deploy agents that actually work?

Share your use case and receive a tailored agent scope within 48 hours.

Chat with usAI Agents — TETRA AI · TETRA