AI Agents (OpenClaw)
Controlled AI agents that connect to your real business tools through a secure plugin layer — OpenClaw. Built so the agent never improvises on a critical action.
An AI agent is a system that interprets natural-language intent and executes actions on your behalf. The Firebox version is built with three layers: the AI that interprets, the OpenClaw plugin that enforces what is permitted, and the business tool that actually executes. This separation is what makes the agent reliable.
- >You want to automate customer-facing conversations with measurable outcomes.
- >You need an agent that can take real actions in your systems — not just answer questions.
- >You want clear guardrails: a known list of allowed operations, not a black box.
- >You have an internal team that wastes time on repetitive coordination work.
- A designed agent architecture (intent layer, plugin layer, tool layer).
- OpenClaw plugin configured for your specific business operations.
- Integration with your existing tools (calendar, inventory, CRM, etc.).
- Monitoring, logs, and an audit trail of every action the agent takes.
- Documentation and an operating handbook for the team.
We start by listing the exact operations the agent should be able to perform — and the ones it must never perform. OpenClaw enforces that boundary. We test against realistic scenarios before going live, and we keep humans in the loop wherever the cost of a mistake is high.
Typical agent implementations run 6 to 12 weeks, depending on the number of operations and integrations. We deliver in clear increments — you see the agent working in week 3, in expanded form by week 6.
Workshop scheduling agent
Books appointments, validates parts inventory in real time, creates work orders, and confirms with the customer — all through OpenClaw-controlled actions.
Internal procurement agent
Takes natural-language purchase requests, validates against budget and supplier rules, generates POs, and routes for approval.
Customer service triage
Categorizes incoming tickets, suggests answers from a knowledge base, escalates the ones requiring human judgment.
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