What's the difference between an AI agent and a chatbot?

A chatbot answers questions; an AI agent completes work. Our agents plan multi-step tasks, use your tools and systems (CRM, ERP, email, databases), and execute end-to-end workflows — like processing an invoice from inbox to ledger — without a human driving every step.

How do I measure ROI on AI automation?

We baseline your current process first — hours spent, error rates, cost per task — then track the same metrics post-deployment in your dashboard. Most clients see measurable ROI within 60-90 days, typically through 40-70% reduction in manual processing time.

Will AI agents replace my team?

No — they remove the repetitive 80% so your team focuses on judgment, relationships, and exceptions. In practice, our clients redeploy staff to higher-value work rather than cut headcount. The winning model is human + agent, not human vs agent.

How long does it take to deploy an agent?

For standard workflows, we can deploy a functional MVP in as little as 2 weeks. Complex, custom-trained enterprise models typically take 4-8 weeks to fully integrate and test. We recommend starting with one high-volume workflow, proving it, then scaling.

What happens if the AI hallucinates or makes a mistake?

We implement 'Human-in-the-Loop' (HITL) protocols with confidence scoring. The AI handles ~95% of the workload autonomously, but low-confidence outputs are automatically flagged for human review before anything is committed — so errors are caught before they touch your systems.

Is my data secure? Is it used to train AI models?

Your data is never used to train public models. We build with a security-first architecture, offer on-premise and private-cloud deployment for sensitive data, and ensure all cloud deployments are SOC2 compliant — with GDPR and EU AI Act considerations built into the design.

Can you integrate with my existing software?

Yes. Loopdock specializes in building connectors for legacy systems as well as modern APIs (Salesforce, HubSpot, SAP, custom SQL databases, etc.) — plus emerging standards like MCP for connecting agents to your tools.