
This video introduces the Solution Recommender, a key subagent within the AI-powered multi-agent system, which transforms analysis into clear and actionable decisions. Ideal for analysts, process owners, and leaders facing paralysis from too many options.
🧭 The problem isn't a lack of data, but a lack of clarity about what to do.
💡 This subagent takes all the information from the system (inefficiencies, predictions, goals, constraints, and context) and generates proposals that:
Are feasible and prioritized.
Seek the best balance between impact and feasibility.
Are specific: "what to do, in what order, and why."
⚙️ What types of solutions can it recommend?
Process automation.
Task reassignment.
Changes in the operational sequence.
Elimination of unnecessary validations.
A combination of small improvements with a large cumulative impact.
🔎 Each proposal is validated through a Feasibility Analysis (FFA) and can be accompanied by:
Impact simulation.
Comparison of several options with pros, cons, and success conditions.
Possibility of pilot testing before implementing on a large scale.
📌 And most importantly: each recommendation is documented with its rationale, estimated impact, risks, and key monitoring metrics.
🌍 This subagent is adaptable to all areas: sales, logistics, production, customer service, or administration. It becomes your best strategic advisor—personalized, tireless, and unbiased.
🎯 Result: You move from confusion to action, from many ideas to a focused, evidence-based strategy.
🚀 What comes next? The Action Plan Generator, the next subagent, takes these recommendations and turns them into detailed plans, with tasks, deadlines, and responsible parties. That'll be the next video.
📩 If you or your team need to turn data chaos into actionable decisions, write to me on LinkedIn and I'll show you how to integrate this technology into your company.
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