A practical map for enterprise agentic systems
Enterprises are moving from passive AI to agentic systems that plan, decide, and act with humans in the loop. The TACO framework—taskers, automators, collaborators, orchestrators—offers a structured path to scale capabilities while balancing rapid deployment with deep customization. A polyglot stack and firm governance are positioned as the backbone for trust, compliance, and long-term impact.
Points clés
- The TACO framework is proposed by Swami Chandrasekaran of KPMG and published by Artificial Lawyer on 12 February 2025.
- AI agentic systems go beyond retrieval to proactive execution and decision-making, using tools with human oversight in and on the loop.
- All agent types share core capabilities: goal interpretation, reasoning engines (including LLMs), memory, tools, and orchestration.
- Taskers pursue singular goals via structured, repeatable tasks; examples include invoice validation, journal entry verification, and KYC compliance.
- Automators integrate across enterprise systems to run end-to-end processes such as procure-to-pay and order-to-cash; examples include supplier risk assessment and healthcare claims processing.
- Collaborators act as AI teammates, learning from human interaction; examples include a legal contract analyzer and investor relations support for earnings preparation and coaching.
- Orchestrators coordinate multi-agent ecosystems and humans for complex, dynamic operations; examples include cross-border compliance monitoring and capital project and investment program coordination.
- Scaling requires a polyglot approach across open-source frameworks, commercial platforms, startups, and off-the-shelf tools to avoid vendor lock-in.
- Enterprises must balance rapid deployment with deep customization to maintain flexibility as standards and technologies evolve.
- Priorities for trust and impact include platform selection, data readiness, governance, knowledge elicitation, architectural standardization, and continuous innovation.
À retenir
Start with taskers to score quick wins, then graduate to automators and collaborators before you unleash the orchestrators—because obviously nothing ever goes wrong when you wire five systems together without a plan. Pick a polyglot tooling stack to dodge vendor lock-in, keep humans in the loop, and set governance early so your “smart” agents don’t become very efficient chaos engines. Measure outcomes, iterate often, and resist shiny demos—if it can’t integrate, scale, and be audited, it’s just a party trick.
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