Demoing an AI agent is easy. Running one in production is the work: reliability, observability, cost control, and a safe failure mode when the model gets it wrong. Every agent we ship has an evaluation harness, a monitoring dashboard, and a clear escalation path to a human.
Tier-1 and tier-2 support agents that handle volume on WhatsApp, web, and voice. Bilingual Arabic + English. With safe escalation to your live team.
Agents for finance, ops, HR, and legal teams. Grounded in your documents and policies, with audit trails for every answer.
When one agent isn't enough. We design systems where specialized agents (researcher, writer, reviewer) hand off with deterministic control flow.
Vector and hybrid retrieval across your knowledge bases. Citations on every answer. No hallucinated facts from training data.
Before any agent goes live, we build the eval suite: accuracy, safety, regression. After it's live, we monitor it. This is non-negotiable for us.
For regulated industries: banking, healthcare, and public sector. Review queues, approval workflows, and the audit trail your compliance team will ask for.
A chatbot follows a scripted flow. An AI agent reasons over a goal, picks from a set of tools or actions, and decides what to do next, including when to escalate. Agents handle open-ended queries. Chatbots don't.
Yours. Every agent we build is deployed in your cloud account, with your data staying within your perimeter. We support AWS, Azure, GCP, plus on-prem for sensitive use cases.
Production-ready agents typically take six to twelve weeks from kickoff. A working prototype shows up in week one. Eval harness in week two. Hardening, integration, and safety review fill the rest.
Three layers. Pre-deployment: an evaluation harness covering accuracy, safety, and regression cases. In production: input/output filters and human-in-the-loop review for regulated answers. Ongoing: monitoring and monthly audits against the eval suite.