What are AI agents? +
AI agents are software systems that pursue a goal autonomously — they reason over a task, decide which tools to call and take action, rather than just answering a question like a chatbot. A custom AI agent might qualify a lead, update your CRM and book a meeting in one run. Our AI agents for business save teams 60+ hours a week by completing multi-step work end to end.
How are AI agents different from a chatbot? +
A chatbot replies to messages; an AI agent gets things done. Agents plan a sequence of steps, call tools and systems, handle errors and complete a task without a human driving each step. That is why AI agents for business deliver real ROI — they replace the manual workflow, not just the question. Our clients free 60+ hours a week as a result.
How much does AI agent development cost? +
Whitehat's AI agent development is scoped per production agent and scales with workflow complexity and the number of systems it integrates. There is no flat rate, because cost depends on the task and your stack. Your free audit forecasts the hours saved and payback period — typically 2–4 months — before you commit a dollar.
How do I choose an AI agent development partner? +
Choose a partner who ships working agents, not slideware — ask to see custom AI agents live in production and the guardrails around them. Look for permission scopes, human-in-the-loop checkpoints, audit logs and an evaluation suite. We have built automation for Australian businesses for 13 years and ship a first agent in two weeks, measured in hours saved.
What workflows can AI agents automate in my business? +
Almost any repetitive, multi-step process is a candidate: lead qualification and follow-up, customer support triage, invoice and document processing, data entry between systems, appointment scheduling and reporting. Our free audit ranks your workflows by hours saved and payback, so the first AI agents we ship target the highest-ROI process and recover 50–70% of the time spent on it.
Are autonomous AI agents safe to let take actions? +
Yes, when they are engineered correctly. We ship every agent with read-write permission scopes, human-in-the-loop checkpoints for high-stakes actions — anything that sends external comms, moves money or edits customer records — and a full audit log of every step. We never deploy fire-and-forget agents; reliability is tested above 95% before go-live.
Which AI models do you use to build agents? +
We build with whichever model fits the task. Claude (Anthropic) for long-context reasoning and complex agentic workflows; GPT (OpenAI) for cost-sensitive, high-volume or structured tasks. For compliance-sensitive clients we self-host open-weight models. Most engagements use more than one model via API, chosen to maximise reliability and minimise cost per task.
How do AI agents integrate with our existing tools? +
Each agent connects via API to whatever you already run — HubSpot, Salesforce, Pipedrive, Slack, Teams, Microsoft 365, Google Workspace, Shopify, Xero or Notion. Agents act inside the apps your team already uses rather than as a new dashboard to learn. Most custom AI agents go live integrated with 3–5 systems within the first two-week sprint.
