Multi-Agent
Orchestration

End the "AI Archipelago." We design the central nervous system for your enterprise AI — a coordination layer that transforms isolated, conflicting agents into a coherent, governed network.

The $23M Coordination Problem

GlobalRoute Logistics ran 9 specialized AI agents — each one capable, each one independently tested. Agent A booked a truck. Agent B, unaware of Agent A's action, simultaneously scheduled that same truck for maintenance. Without a shared state layer and a conflict resolution protocol, these agents weren't collaborating — they were actively destroying value. The result: $23M in annual SLA penalties, manual reconciliation costs, and customer churn. Read the full case study →

The Dioval Orchestration Stack

Three Layers. One Coherent Network.

Protocol Standardization

MCP & A2A Protocol Integration

We integrate Anthropic's Model Context Protocol (MCP) and Google's Agent-to-Agent (A2A) protocol to create universal connectors. Any LLM application can securely access enterprise tools and delegate tasks — without bespoke spaghetti code binding specific models to specific endpoints.

The result is a vendor-agnostic communication backbone where GPT-4, Claude, Gemini, and open-source models can co-exist and collaborate in a single enterprise workflow.

MCP TOOL REGISTRATION

{
  "tool": "book_logistics_resource",
  "scope": ["read:inventory", "write:bookings"],
  "auth": "jwt_bearer",
  "conflict_check": true,
  "audit_trail": "clickhouse"
}

A2A TASK DELEGATION

{
  "from": "logistics_agent_v2",
  "to": "maintenance_agent_v1",
  "task": "check_resource_conflict",
  "handoff_schema": "SHP_v5",
  "priority": "CRITICAL"
}

Hierarchy Design

Supervisor Agent Architecture

We deploy Hierarchical Task Networks where Executive Agents manage Domain Managers, who in turn manage Worker Agents. This three-tier structure ensures load-aware routing, priority conflict resolution, and graceful degradation when individual agents fail.

When agents inevitably disagree — and they will — the Supervisor layer applies deterministic arbitration rules rather than leaving conflicts to compound invisibly.

Executive Agent

Domain Manager A

Domain Manager B

Domain Manager C

Worker 1

Worker 2

Worker 3

Worker 4

Worker 5

Context Preservation

Semantic Handoff Protocol (SHP)

When Agent A hands a task to Agent B, context decays — constraints get forgotten, priorities get lost, and partial state corrupts decisions downstream. We implement the 5-layer lossless handoff schema using strict Pydantic validation to ensure zero context loss across agent boundaries.

LAYER 1

Task Context

Original intent, success criteria, deadline constraints

LAYER 2

Execution State

Steps completed, tools called, outputs generated

LAYER 3

World State

Resource locks, active bookings, external system state

LAYER 4

Constraint Set

Policy limits, approval requirements, prohibited actions

LAYER 5

Continuation Signal

Next action type, urgency level, escalation triggers

Ready to End the Agent Sprawl?

An orchestration engagement begins with our Production Readiness Audit. We map your current agent topology, identify conflict hot-spots, and design the coordination layer your enterprise actually needs.

Start with an Audit →