Build an AI Agent That Works Inside Your Business
Custom AI agent development for Australian teams that want repeated research, admin, QA, reporting, and follow-up handled with clear human approval.
Free 15-minute call. No technical brief needed.
The Problem
AI agent ideas often get stuck between impressive demos and day-to-day operations. Teams need an agent that knows what it can do, where it must stop, which systems it can touch, and how a human reviews the output before anything risky happens.
How I Can Help
Jarve designs the agent around the business workflow first, then builds the smallest reliable system around it. That can include research queues, CRM preparation, lead qualification, QA checks, reporting drafts, document review, internal approvals, and integration with the tools your team already uses.
Not sure what the right first step is?
Show me the workflow or system causing problems. I’ll help identify the simplest sensible next step.
Directly with James. No sales presentation. No obligation.
One workflow is enough to start.
Bring the spreadsheet, handoff or system that is slowing the team down.
What You Get
Clear agent boundaries
Define what the AI agent can read, draft, check, route, and recommend before it touches operational work.
Human review where it matters
Keep approvals, exceptions, and customer-visible decisions in front of the right person instead of trusting a black-box automation.
Workflow-ready outputs
Turn research, QA, reporting, or follow-up into structured outputs your CRM, dashboard, inbox, or internal tools can use.
FAQ
What can a custom AI agent do for a business?
A custom AI agent can prepare research, draft follow-ups, check records, summarise documents, triage requests, update CRM fields, prepare reports, or route work for review when the workflow is designed with clear limits and human approval.
How much does it cost to build an AI agent?
The cost depends on the systems involved, the approval rules, the data quality, and whether the agent only drafts recommendations or also triggers actions. Jarve usually starts by scoping the smallest useful agent that proves the workflow safely.
Is an AI agent different from normal automation?
Yes. Normal automation follows fixed rules. An AI agent can reason over less structured input such as notes, documents, messages, or research, but it still needs strong boundaries, logging, and approval steps before it becomes dependable business software.
Start with the problem, not a specification
We’ll map what is happening now, identify the risky assumptions and recommend a practical first step.
Direct access to the person doing the work
Fixed scope before development
Documentation and handover included
You'll get a recommended next step and likely range—even if Jarve isn't the right fit.