Architecture
Dynamic Decision Router
AI that adapts its workflow in real-time based on what it discovers at each step.
The Business Problem
Your workflows have conditional logic that no one has been able to automate. "If the initial screening is positive, run analysis A. If negative, run analysis B. If ambiguous, run both and escalate." Today, your systems either run everything regardless (wasting compute and time) or require a human to make the routing decision (creating bottlenecks).
Insurance claims need different adjusters based on the claim type -- but the type isn't always clear from the initial filing. Customer support tickets need different specialists based on the real issue -- but the customer's description often doesn't match the actual problem.
You need a system that observes, thinks, and then routes -- dynamically, at every step.
How It Solves It
The Dynamic Decision Router maintains a shared knowledge board that accumulates findings, with an intelligent controller that makes routing decisions based on accumulated context.
Simplified Flow
Receive Task
Controller Analyzes
Route to Specialist
Update Knowledge Board
Controller Decides Next
The controller inspects the accumulated findings and decides which specialist to activate next -- or whether the task is complete. Unlike fixed pipelines, the route through the system changes based on what the AI discovers. Unnecessary steps are skipped automatically.
Key Capabilities
Context-aware routing
The controller reads all accumulated findings before making each routing decision
Conditional branching
Different inputs naturally follow different paths through the system, without hard-coded rules
Shared knowledge board
All findings are accumulated centrally, giving every specialist full context
Dynamic completion
The controller decides when enough information has been gathered, stopping early when appropriate
Skip logic
Unnecessary specialists are never activated, saving compute and reducing latency
Routing transparency
Every routing decision includes the controller's reasoning, creating an auditable decision trail
Industry Applications
Insurance — Claims Processing
The controller analyzes the initial claim: auto accident goes to auto adjuster. Water damage goes to property adjuster. Suspicious patterns trigger fraud investigation. Each claim follows a different path based on what the controller detects.
Healthcare — Adaptive Diagnostics
Initial test results are posted to the board. The controller reads them and routes: abnormal blood work to hematologist. Abnormal imaging to radiology. Both triggers both specialists plus integrative review.
Manufacturing — Quality Control Routing
Inspection results are posted to the board. The controller evaluates: cosmetic defect goes to rework. Structural defect goes to scrap and root cause analysis. Borderline goes to additional testing.
Energy & Utilities — Adaptive Equipment Diagnostics
Sensor anomaly is posted to the board. The controller dispatches: electrical signature to electrical specialist. Vibration pattern to mechanical specialist. Software error codes to software diagnostic.
Ideal For
- • Ill-structured problems where the next step depends on previous results
- • Conditional, branching workflows that can't be planned upfront
- • Triage and classification tasks with multiple downstream paths
- • Scenarios where running all possible analyses would be wasteful
Consider Alternatives When
- • The workflow is fixed and predictable (use Structured Workflow Engine -- simpler and faster)
- • The task benefits from multiple parallel perspectives on the same question (use Specialist Team AI)
- • Safety-critical decisions need human approval at each step (use Human Approval Gateway)
- • All possible paths are well-defined and could be captured in simple rules (a rule engine may suffice)
Dynamic Decision Router vs. Specialist Team AI
Dynamic Router activates different specialists based on findings (conditional paths). Specialist Team activates all specialists in parallel (comprehensive coverage). Think of Dynamic Router as a doctor ordering tests based on symptoms, and Specialist Team as a full medical panel running everything.
| Dynamic Decision Router | Specialist Team AI | |
|---|---|---|
| Specialist activation | Conditional -- only relevant ones | All -- comprehensive coverage |
| Efficiency | Higher -- skips irrelevant work | Lower -- runs everything |
| Coverage | Variable -- depends on routing | Complete -- every perspective included |
| Best for | Triage, classification, conditional workflows | Deep analysis requiring all perspectives |
Implementation Overview
Typical Deployment
4-8 weeks
Integration Points
Specialist agent definitions, routing criteria, shared knowledge board schema
Data Requirements
Controller routing logic, specialist configurations, condition definitions
Configuration
Routing rules (or learn-from-examples), specialist tools, board schema, completion criteria
Infrastructure
Standard LLM deployment; shared state management for the knowledge board
Get Started