Example Workflows
Real‑world orchestration patterns demonstrating how Agiorcx coordinates agents, tools, and data flows.
Multi‑Agent Code Review System
A security‑focused organization uses Agiorcx to coordinate automated code reviews across multiple specialized agents.
Workflow Structure
Coordinator Agent receives pull request, analyzes file types, delegates to specialist agents
Security Agent scans for vulnerabilities, checks dependency versions, validates input sanitization
Performance Agent analyzes algorithmic complexity, identifies inefficient patterns
Style Agent enforces coding standards, checks documentation completeness
Aggregator Agent combines findings, prioritizes issues, generates unified report
Agiorcx handles agent coordination, ensures each specialist agent receives the correct context, enforces timeouts, and escalates to human reviewers when confidence thresholds aren't met.
Document Intelligence Pipeline
A financial services firm processes regulatory filings through a structured extraction and validation pipeline.
Workflow Structure
- 1.Intake Agent classifies document type, routes to appropriate extraction pipeline
- 2.Extraction Agent pulls structured data (dates, amounts, entities) with confidence scores
- 3.Validation Agent cross‑references extracted data against business rules and historical records
- 4.Quality Agent flags low‑confidence extractions for human review
- 5.Persistence Agent writes validated data to systems of record with full audit trail
The orchestration layer enforces validation thresholds, tracks confidence scores, and maintains lineage from raw document to final database entry.
Intelligent Support Triage
A SaaS company uses multi‑agent orchestration to handle incoming support tickets with contextual escalation.
Workflow Structure
- 1.Triage Agent analyzes ticket content, customer history, product usage data
- 2.Knowledge Agent searches documentation, previous tickets, internal knowledge base
- 3.Resolution Agent attempts automated resolution for known issues
- 4.Escalation Agent routes complex issues to appropriate specialist teams
- 5.Follow‑up Agent monitors resolution status, sends proactive updates
Escalation policies ensure high‑priority issues reach humans immediately, while routine questions get automated responses. All agent interactions are logged for quality review.
Common Orchestration Patterns
Sequential Specialization
Tasks flow through a chain of specialist agents, each contributing domain expertise. Output from one agent becomes input to the next.
Parallel Processing with Aggregation
Multiple agents work simultaneously on different aspects of a problem. A coordinator agent synthesizes results once all parallel tasks complete.
Hierarchical Escalation
Lower‑level agents attempt resolution. When confidence is low or complexity is high, control escalates to more capable agents or human operators.
Iterative Refinement
Agents work in critique‑and‑refine loops. A generator agent produces output, a critic agent evaluates quality, and the process repeats until thresholds are met.