Enterprise Multi-Agent AI Workflows
Autonomous AI systems that plan, delegate, and complete complex multi-step tasks — without human intervention at every turn.
Why This Matters
Your team spends hours on repetitive research, document synthesis, data transformation, and cross-system coordination. A single human orchestrating 5 tools manually is a bottleneck. Multi-agent AI removes it.
What Teams Use This For
- Automated research + report generation pipeline
- Sales intelligence: prospect discovery → enrichment → draft outreach
- Document intake → classification → routing → response
- Code review agent + security scan agent + deployment orchestrator
- Competitive monitoring: crawl → summarise → alert + weekly briefing
What You Receive
- Production-ready agent graph (LangGraph or CrewAI)
- Custom tool definitions (web search, DB query, API calls, file I/O)
- Retry + fallback logic and human-in-the-loop escalation
- Logging, tracing, and observability dashboard
- Full source code + deployment guide
Project Packages
Fixed-price scopes with clear deliverables. No hourly billing surprises. Source code ownership transferred on all packages.
Starter Agent
- One agent role
- Up to 5 tool integrations
- Basic memory & context
- Logging dashboard
- 30-day support
Multi-Agent System
- Orchestrator + specialist agents
- Parallel execution
- Human-in-the-loop gates
- Full tracing (LangSmith/Weave)
- 60-day support
Enterprise Suite
- Unlimited agent roles
- CRM/ERP/DB integrations
- SLA & uptime monitoring
- Team training included
- 90-day priority support
Stack Used
Proof of Delivery
Built and shipped QChat — a multi-tenant AI SaaS platform with autonomous agent loops, tool calling, and RAG. Deployed in production. Source code deliverable on all projects.
Ready to start?
Send a brief description of your project and I'll reply within 24 hours with a scoped proposal — no obligation.
Email Your Requirements → hello@debasisbhattacharjee.com