AI Agents for Business. Automation with measurable governance.
Modern teams move beyond simple chatbots to agentic workflows. With governance, KPI, and source control, AI operations scale safely.
Classic chatbots answer FAQs. Agents can hook into your stack and run bounded tasks.
From pilot to production-grade AI operations
Workflows mirror real ops: CRM updates, calendar slots, ticket triage, doc prep. RAG pulls approved docs so answers stay grounded.
Governance layer: who can trigger what, when a human must approve, how to log actions. KPI: time, quality, cost per run.
How to deploy AI agents without operational risk
One workflow, tight scope, explicit data access. Handle exceptions in writing.
Pilot metrics: speed, completion, errors, cost. Scale when numbers hold steady.
- RAG setup with controlled source-of-truth documents.
- Integration with CRM, calendar, and support systems.
- KPI tracking for quality, speed, and operating cost.
- Governance model for approvals, audits, and escalation.
Frequently Asked Questions
- What is RAG?
- Retrieval-Augmented Generation. AI uses your documents as the only source of truth. No hallucinations.
Michał Grycz
Software engineer and founder of MGSupport. Designs and builds high-performance web systems, e-commerce, and business automations.