Hermes — the agentic AI platform that orchestrates, delegates, and operates autonomous workflows around the clock.
Hermes is an agentic AI platform designed to run as an always-on executive layer — orchestrating specialized AI agents, delegating tasks across models, monitoring outputs, and managing workflows without human intervention. DeployLabs deploys Hermes as the operational brain of your AI business engine, connecting it to your CRM, analytics, communications, and revenue systems.
What Hermes brings to your operations.
Multi-Agent Orchestration
Hermes runs and coordinates multiple specialized AI agents simultaneously — each handling a specific domain (sales, research, operations, content) while Hermes monitors, delegates, and escalates across the full workflow.
24/7 Autonomous Operation
Hermes operates continuously, monitoring systems, responding to triggers, and executing workflows without human initiation. DeployLabs configures the guardrails, escalation paths, and human-in-the-loop checkpoints appropriate for your risk tolerance.
Tool and Platform Integration
Hermes connects to your existing tools and platforms through APIs, webhooks, and browser automation — acting as the intelligent glue layer that makes disparate systems work as a unified autonomous operation.
Custom Agent Training and Fine-Tuning
Hermes supports custom agent behaviors trained on your proprietary data, industry context, and brand voice. DeployLabs builds and deploys custom agents that reflect your specific business logic and customer interactions.
The platform gives you the foundation. We build the engine.
Hermes provides
- Multi-agent orchestration and delegation protocols
- Autonomous workflow execution and monitoring
- Tool and platform integration APIs
- Custom agent training and fine-tuning infrastructure
- SOC 2 Type II compliant deployment options
- Agent action logging and audit trails
DeployLabs adds
- Business workflow design and agent topology planning
- System integrations and API connections to your tools
- Guardrail configuration and escalation path design
- Human-in-the-loop checkpoint setup
- Monitoring dashboards and alerting thresholds
- Ongoing performance review and agent refinement
Three phases. No templates. No shortcuts.
Discover
We map your current operations to agent-capable workflows — identifying what runs autonomously, what needs human oversight, and what can be eliminated entirely. This gives us the agent topology for your Hermes deployment.
1–2 weeksArchitect
Design the multi-agent topology, define handoff protocols, configure guardrails, and establish escalation paths. We design the system architecture before writing a single line of configuration.
1–2 weeksBuild
Deploy agents, connect to your existing systems, configure the Hermes orchestration layer, and set up monitoring. Each agent is trained on your business context and scoped to its designated tasks.
4–8 weeksGo Live
Run parallel with your existing operations. Monitor performance, refine guardrails, and tune agent behaviors. Switch to full autonomous operation once confidence thresholds are met.
2–4 weeksHermes engines built for your industry.
Measured results from Hermes engine deployments.
Enterprise-grade security built into every deployment.
SOC 2 Type II Infrastructure
Hermes deployments on enterprise infrastructure are SOC 2 Type II compliant. All agent actions are logged, auditable, and attributable to specific agents and execution cycles.
SOC 2 Type II · ISO 27001 · Enterprise Data AgreementsRole-Based Access and Escalation Controls
DeployLabs configures role-based access for each agent and human operator. High-stakes actions require human confirmation. Escalation paths are defined per task type and risk level.
RBAC · Escalation Protocols · Human-in-the-LoopAudit Logging and Compliance Reporting
Every agent action, decision, and output is logged with timestamps and attribution. Compliance reports export on demand for regulatory review and internal audits.
Audit Logs · Compliance Exports · Data Retention PoliciesWhat clients ask about Hermes.
How does Hermes differ from a single AI assistant like Claude or ChatGPT?
A single AI assistant responds to prompts. Hermes runs autonomously — initiating actions, coordinating multiple agents, monitoring outcomes, and operating continuously without a human in the loop. It is the executive layer that deploys and manages assistants like Claude and ChatGPT as specialized workers.
Can Hermes run alongside Claude or ChatGPT?
Yes — this is the standard DeployLabs configuration. Hermes orchestrates and delegates to specialized agents (Claude for reasoning, Perplexity for research, Grok for real-time data) based on the task type. Each model does what it does best, under Hermes's coordination.
What happens if Hermes makes a mistake?
DeployLabs configures confidence thresholds and escalation paths. High-stakes actions require human confirmation by default. All actions are logged for audit and review. We tune these parameters during the parallel-operation phase before going live.
How long does a Hermes deployment take?
A working prototype runs in 2–4 weeks. A full production deployment with integrations, custom agents, and guardrails takes 8–14 weeks depending on complexity. We run parallel with your existing operations before switching to autonomous mode.
Ready to build your Hermes engine?
Start with a free discovery call. We map your operations and show you exactly where Hermes creates the most leverage for your business.