Everything the model sees before it acts: retrieved documents, live data, the state of the task. Engineered through hybrid RAG so the right facts arrive at the right moment.
A model needs a system around it.
A raw model supplies capability. The agentic harness is the engineered structure around it (context, skills, tools, memory, guardrails and gateways) that helps turn model output into controlled workflow behavior. With a mouse, drag the optional 3D view and choose any component. On touch, use the component buttons. Reduced-motion or WebGL-limited devices keep the same component map and details in a static view.
Reusable, auditable procedures the agent can follow: your firm’s way of doing things, encoded once and shared across every agent.
The systems the agent can operate: CRM, ERP, calendars, document stores. Each tool is scoped: the agent gets exactly the access the task needs.
What the agent retains across sessions: preferences, open threads, past decisions. Memory turns a stateless model into a teammate with continuity.
The boundaries: what requires human approval, what is off-limits, what gets escalated. Reliability is engineered here, not hoped for at the model layer.
The agent works through Microsoft Teams, Slack, and shared inboxes, so staff can use it inside their existing channels.
This static explanation is available now. Supported browsers can add an optional 3D view.
THE PAYOFF
Why the harness beats the model
As models improve, your harness can carry those gains forward. It's the part you own.
Model-agnostic
Swap the core (frontier API today, local open model tomorrow) without rebuilding the workflow. The harness is the constant.
Controls you can inspect
The harness contains the guardrails, approvals, and audit trails used to review reliability.
Compounding asset
Every skill you add and every workflow you wire becomes reusable infrastructure; your AI capability compounds.
WHAT BREAKS WITHOUT IT
The demo dies quietly by week six.
A demo can start answering from stale files within weeks, with no record of which retrieval produced the response. A production harness adds versioned skills, approval records, staleness alerts, and a replaceable model interface. These controls are easy to miss in a demo and essential once people rely on the workflow.
Week one: the model answers everything, the room is impressed, and someone says it could take over the whole intake queue by Christmas.