AI agents and multi-agent systems
Specialized agents that coordinate research, classification, decisions and actions across a defined business process.
Agent orchestrationTool callingHuman approval
Services / AI & Automation
AI that connects to real business systems.
We design intelligent workflows that can understand context, use tools, work across APIs and databases, and keep people in control where judgment matters.
Capabilities
Move from AI experiments to dependable workflows.
Our engineering foundation lets us connect models to the systems where the work actually happens.
Workflow automation
Automate repetitive operational work by combining LLMs, business rules, webhooks and system integrations.
n8nMakeZapierCustom workflows
Knowledge and retrieval
Ground AI responses in company documents, databases and approved sources through retrieval and structured context.
RAGVector searchDocument pipelines
LLM application development
Purpose-built internal tools and customer applications using OpenAI, Claude and Gemini models.
OpenAIClaudeGeminiMCP
System and API integration
Connect AI to CRM, ERP, property, commerce, finance and operational platforms with clear permissions.
RESTGraphQLPostgreSQLWebhooks
Evaluation and safeguards
Define test cases, confidence checks, escalation paths and observability before important workflows reach production.
EvaluationsAudit trailsGuardrails
How we approach AI
Start with the process, not the model.
A useful AI system needs a clear job, reliable context, permissioned tools and measurable success criteria. We map those elements before selecting the architecture.
- Identify the highest-friction decisions and manual handoffs
- Define what the system may read, recommend and change
- Design failure handling and human escalation
- Test quality, cost and latency against real cases
- Release in controlled stages and improve from evidence
1 / UnderstandProcess · Users · Decisions · Risk
2 / EngineerPrompts · Retrieval · Tools · Integrations
3 / ControlEvaluation · Approval · Monitoring · Audit
4 / ImproveFeedback · Metrics · Iteration
Featured system
Multi-agent property management backend
A property-management workflow can involve incoming requests, property context, policy checks, maintenance routing, communications and management escalation. A single prompt is not enough.
DigiLynx designed a coordinated backend where specialized agents handle defined responsibilities while an orchestration layer manages context, tool use and handoffs. The result is an operating model that is easier to test, observe and improve than an all-purpose assistant.
Specialized agentsClear responsibilities
Tool-connectedData and actions
Human-awareEscalation paths
Technology
A flexible stack for production AI.
We choose components around the workflow, existing systems and operational risk—not around a fixed vendor list.
OpenAIAnthropic ClaudeGoogle GeminiPythonTypeScriptNode.jsLangGraphMCPn8nMakeSupabasePostgreSQLREST & GraphQL APIs