Built different
The harness is not a feature. It is the product.
The capabilities that make agents reliable, coordinated, and bounded by the rules you set.
How does it all work? →Cross-functional Intelligence
The real damage in most businesses happens in the gaps between functions — when CS sees a churn signal that sales never heard about, or finance is last to know about a risk the pipeline already predicted. Harnyss connects those signals automatically, drafts a coordinated response, and surfaces it to you before it becomes a problem.
- Signals flow across departments without a meeting
- Churn risk surfaces to CS, Product, and Marketing simultaneously
- Finance sees revenue patterns as they emerge — not at month-end
- Coordinated response drafted and queued for your approval
Command Bar
The Command Bar is your natural language interface to the entire platform — backed by full MCP access. Use it to execute tasks, query agent status, create new agents, build workflows, configure capabilities, and architect your entire operation without touching a single settings screen.
- Full MCP access — read and write across the platform
- Create agents and workflows in plain language
- Query live status: "What is the system working on?"
- Build your entire ops stack without code or UI
Workflow Builder
Design multi-step workflows that agents execute within the harness — not generic automations. Every step runs inside a defined mandate, every branch can require human approval, and no workflow can exceed the scope you set for it. The sophistication is built in. The constraints are enforced.
- Harness-bounded execution at every step
- Hard approval gates — not optional escalations
- Conditional branching with agent judgment, not just if/then logic
- Workflows cannot exceed the mandate you define
Signal Intelligence
Most monitoring tells you what happened. Signal Intelligence tells you what's about to happen — by connecting performance patterns across departments before they compound. When something is drifting, the system surfaces it with context: which agents are involved, what the pattern suggests, and what action is queued.
- Cross-department pattern detection, not siloed dashboards
- Drift detected structurally — before it acts
- Cost per agent, per workflow, per outcome
- Automated triage with recommended next action
Recursive learning loop
Harnyss gets smarter every time an agent runs. Each task completion, approval decision, and human correction feeds back into the system — agents refine their instructions, routing improves, and the whole operation compounds in capability over time.
- Agents learn from every task outcome
- Human corrections improve future behaviour
- Routing optimises as usage patterns emerge
- Performance benchmarks update continuously