Agents That Work Together. Work That Actually Gets Done.
Most AI demos show one agent doing one thing. Production looks different — it's orchestrated agents planning, retrieving, tool-calling, and handing off to complete workflows end to end. We build for that using the FDE framework.
One Agent Isn't Enough for Real Work
The workflows that cost you the most — claims triage, underwriting queues, prior-auth chains, customer escalations — aren't linear. They branch. They require lookups, decisions, and handoffs across systems that don't talk to each other.
A single AI model can't handle that. A well-orchestrated multi-agent system can.
Without proper orchestration, you get brittle pipelines that break on edge cases, hallucinate under load, or require humans to stitch outputs together — defeating the purpose entirely.
Orchestrated. Multimodal. Production-Hardened.
We design and deploy multi-agent systems using the FDE framework — scoped to your actual workflows, not a generic architecture diagram.
Planner agents
Decompose complex tasks into sub-tasks and assign them to specialist agents
Retrieval agents
Grounded in your live data via RAG, not hallucinating from training data
Tool-use agents
Call your APIs, write to your systems of record, and take action, not just advise
Handoff protocols
Memory continuity so context doesn't drop between agents
Multimodal inputs
Documents, images, audio processed natively, not bolted on
Production guardrails
Rate limiting, fallback logic, observability, and human-in-the-loop escalation paths built in from day one
Built for High-Stakes, High-Volume Workflows
Insurance
Claims triage, underwriting pre-screening, policyholder status workflows
Healthcare RCM
Prior-auth chains, eligibility verification, denial management
Fintech back-office
Reconciliation, exception handling, audit trail generation
SaaS platforms
Autonomous onboarding flows, multi-step support resolution
In Production: VartaOS
We built VartaOS — a fully autonomous multi-agent outreach system — that finds leads, contacts them, nurtures them, and closes them without human intervention. The same system targets existing customers and lapsed prospects on parallel tracks.
The same orchestration architecture powers patient onboarding at NVelUp — reducing intake time from 45 minutes to under 8 minutes by coordinating document extraction, verification, and records creation across agents in sequence.
See What Orchestrated AI Looks Like for Your Workflows
Bring us your highest-volume, highest-cost workflow. In one conversation, we'll show you where multi-agent architecture creates the most leverage — and what production-ready looks like.
Schedule a Consultation