Train on approved knowledge
We use the business website, FAQs, policies, and approved files to ground the agent in information the company wants customers to receive.
We help businesses put a managed AI agent on their website, trained on approved company information and supported by clear fallback, escalation, and security controls.
Our purpose
A public-facing AI agent should do more than answer quickly. It should represent the business accurately, capture the right opportunities, route requests appropriately, and know when a human needs to take over.
AI Worker Agency brings together AI architecture, cybersecurity thinking, business-knowledge training, and practical implementation so each agent is built around the organization it serves.
How we work
We use the business website, FAQs, policies, and approved files to ground the agent in information the company wants customers to receive.
We configure prompts, fallback responses, restricted topics, qualification questions, booking routes, quote requests, and human escalation.
We review unsupported questions, possible hallucinations, source links, handoff behavior, and customer-facing responses before approval.
What matters to us
Learn more about Lauren Wade’s background in cybersecurity architecture, AI architecture, infrastructure, cloud, and security consulting.