Enquiry agent
Read a new enquiry, classify it, enrich context, create the CRM record, draft the response and alert the right person.
An AI agent can be designed to interpret a goal, retrieve context, use approved tools and carry a workflow forward. The commercial value comes from disciplined permissions, reliable data and clear human escalation.
Read a new enquiry, classify it, enrich context, create the CRM record, draft the response and alert the right person.
Check project status, surface missing information, create follow-up tasks and compile a daily exception report.
Retrieve approved procedures, policies and customer information while respecting permissions and source boundaries.
Collect public information, structure findings and prepare briefing notes before management or sales meetings.
Prompt teams for experiment records, connect evidence and flag gaps without inventing eligibility or technical facts.
Compile management information, outstanding documents and use-of-funds evidence for a controlled capital review.
Agents should have the minimum permissions required, auditable actions, clear stop conditions and a defined human owner. Sensitive customer, financial and operational data needs deliberate access control.
Australian businesses remain responsible for how AI systems are deployed. I design agent workflows around human ownership, data boundaries and practical controls rather than assuming autonomous systems can be left unsupervised.
See the AI operating-system approachThe Australian Government provides guidance on AI adoption, risks and responsible use for businesses.
Read business.gov.au AI guidance →Tell me the systems involved, the repetitive work and where judgment still matters.