AI Agent Decision Framework — Automation or Human?
Find out in 3 minutes whether your process is better handled by AI agents, workflow automation, or humans — including a full TCO cost comparison.
How It Works
The framework uses a three-stage methodology based on data from McKinsey, Gartner, MIT CLEAR Framework, BCG, Forrester, and CFA Institute (2025–2026):
- Quick Check — Three gate questions assess regulatory constraints, data readiness, and risk tolerance.
- 8-Dimension Scoring — Rate your process across task uniformity, output objectivity, data structure, error severity, human oversight, volume, empathy requirements, and savings potential.
- TCO Calculator — Compare total costs for human execution, workflow automation (RPA), and AI agents including hidden costs like development, testing, monitoring, and human-in-the-loop overhead.
Who Is This For?
- Founders & CEOs — Making build-vs-buy decisions for AI and automation investments.
- Operations Leaders — Evaluating which processes to automate first.
- Tech Teams — Comparing RPA, AI agents, and human workflows with real cost data.
- Consultants & Agencies — Using data-driven frameworks to advise clients on automation strategy.
Key Facts
- 95% of enterprise AI pilots fail to deliver measurable P&L impact (MIT, 2025)
- 88% faster — AI agents complete tasks vs. humans (McKinsey, 2025)
- 70% of AI value comes from people & processes, not technology (BCG, 2025)
- $725B AI infrastructure investment in 2026, +61% YoY (Gartner, 2026)
FAQ
When should I use an AI agent instead of traditional automation?
AI agents are best suited for tasks with unstructured data, variable decision-making, and high volume. If the task is highly uniform with structured data, rule-based workflow automation is typically more cost-effective.
How much does an AI agent cost compared to a human employee?
For 1,000 medium-complexity tasks per month: human ~€206,000/year, workflow automation ~€12,000/year, AI agent ~€138,000/year. AI agents become more cost-effective at higher volumes and over 3+ year horizons.
What is the difference between workflow automation (RPA) and AI agents?
Workflow automation (RPA) follows deterministic, pre-defined rules. AI agents use large language models to handle unstructured data and make context-dependent decisions.
What data is this framework based on?
Published research from McKinsey, Gartner, MIT CLEAR Framework, BCG, Forrester, and CFA Institute (2025–2026).
Is this tool free?
Yes, completely free. No credit card required.
A free tool by Mons Altus Ventures GmbH