Define goals, workflows, and user interactions. Design agent architecture (single/multi-agent) with clear communication logic. Deliverables: Architecture blueprint, tech stack recommendation, user flow documentation.

Build custom agents using frameworks like Langchain, LlamaIndex, and OpenAI APIs. Integrate agents into communication platforms (e.g., WhatsApp, web apps, LiveKit). Deliverables: Fully functional AI agent(s), integration APIs, backend logic.

Deploy agents on scalable infrastructure (Docker, VPS, cloud services). Set up automation for responses, scheduling, and real-time interaction. Deliverables: Deployed services with CI/CD pipelines and uptime monitoring.

Conduct performance tuning, failover handling, and multi-agent coordination checks. Optimise prompts and embeddings for accuracy and context handling. Deliverables: Test reports, optimised response logic, fallback strategies.

Set up dashboards to monitor agent behaviour, logs, and error handling. Ongoing support for model updates and business logic revisions. Deliverables: Monitoring setup, log access, and maintenance checklist.