• 42Governed Meta-Agents
  • 8 weeksTo Production (CMS WISeR)
  • 80-90%Auto-Approvals Achieved
  • 100%Decision Audit Coverage

Why the Orchestration Layer Matters

Most organizations focus on building AI agents. The harder problem is what surrounds them.

Every enterprise AI initiative eventually runs into the same six gaps — not in the models, but in the infrastructure that makes models useful in production:

  • Persistent State and Continuity

    Agents don't remember what happened three steps ago. Workflows that span hours, days, or multiple systems need state management that no agent provides on its own.

  • Execution Control Plane

    Something has to coordinate who does what, in what order, with what context — and handle exceptions when the workflow breaks.

  • Human-in-the-Loop Operations

    Regulated industries require human review at defined decision points. Building this into every agent individually is unsustainable.

  • End-to-End Decision Lineage

    Audit requirements demand a complete record of what happened, why, and who was responsible. Individual agents don't produce this by default.

  • Semantic Context and Memory

    AI agents operate on the context they're given. Grounding that context in real enterprise data — guidelines, policies, case history — is a separate engineering problem.

  • Production-Ready Execution Blueprints

    Moving from a working demo to a production deployment that handles edge cases, SLAs, and compliance requirements is where most enterprise AI initiatives stall.

Symphony is built to solve all six. Enterprises that deploy Symphony skip the years of infrastructure work required to build these capabilities from scratch.

Core Capabilities

Four things Symphony does that no agent can do alone.

  • Stateful Orchestration

    Symphony maintains full workflow state across every step, agent, and system involved in an execution — handling handoffs, exceptions, and multi-day workflows without losing context or continuity.

  • Continuous Learning in Production

    Every workflow execution produces outcome signals that feed back into the system. Models improve from live enterprise execution — not static datasets or external benchmarks. The system learns from production, not from theory.

  • End-to-End Decision Traceability

    Every step is authenticated, authorized, encrypted, logged, traced, and observable. Symphony captures not just what happened — but why decisions were made, what context informed them, and what outcomes they produced. AI that is explainable, auditable, and continuously improvable.

  • Enterprise Integration Without Rip-and-Replace

    Symphony integrates within your existing technology stack — orchestrating execution across your EHR, claims, CRM, and legacy systems without replacing them. Core-agnostic architecture, deployed via APIs and data pipelines. It works with what you have and unlocks what you couldn't do before.

How Symphony is Built

The Platform Behind AI Orchestration

LLM Pipeline

A containerized LLM runtime with a model registry, prompt registry, and model router that selects the right model for each task. Symphony is model-agnostic — it delivers lower inference cost, higher accuracy, and audit-ready compliance than general-purpose large language models alone.

RAG Knowledge Fabric

A vector database over an enterprise knowledge base — clinical guidelines, policy documents, and operational data. Symphony grounds every agent decision in real, current enterprise knowledge rather than general AI training. Grounded answers, not guesses.

Responsible AI Plane 

Policy enforcement, business-logic validation, continuous evaluation, and audit logging — running across every agent execution. AI that is ethical, explainable, and compliant by construction. Not as an add-on. Not as a review layer. Built into execution itself.

Domain-Specific Agents

Symphony doesn't run generic agents. It runs named, purpose-built agents for the specific workflows that regulated industries require.

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Security & Compliance

Security is a layer, not a checkbox.

In regulated industries, governance is not a feature that gets added after the platform is built. Symphony is designed with security, compliance, and audit as first principles — running vertically through every layer of the platform.

  • HIPAA & GDPR Compliant 

    Built for healthcare's data governance requirements from day one. PHI stays in your environment.

  • Zero Trust Architecture

    Every request is authenticated and authorized. Least-privilege access, micro-segmentation between services, and continuous verification — not perimeter security.

  • Full Audit Trail

    Every action logged with actor, time, and context. Immutable audit trail for regulatory reporting, clinical review, and AI governance requirements.

  • FedRAMP / HITRUST Ready

    AWS GovCloud deployment capability. Designed for federal program requirements, confirmed through CMS WISeR deployment.

How it Works Together

Symphony is how Praxis runs.

Every Praxis workflow needs infrastructure beneath it — something to route the work, enforce the rules, and make sure every decision is traceable and every outcome feeds back into the system. That's Symphony's job. Built on a Digital Core of real operational data, Symphony ties together the agents, systems, and people that make each module run — so what's designed in Praxis actually executes in the real world, at scale, and gets smarter with every cycle.

  • Zyter Praxis

    The workflow modules Symphony executes: UM, CM, Claims, Clinical Encounter, and more

  • Zyter Symphony

    The orchestration control plane: stateful, governed, and continuously learning from every workflow it runs

  • TruCare Digital Core

    Enterprise systems of record: TruCare PHM for managed care, or your EHR, claims, and RCM systems integrated via standard APIs

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Ready to run AI that governs itself?