
Grupo IMC
The IMC Group, in partnership with MadeinWeb, developed an Artificial Intelligence solution created to completely transform the network's pricing process.

AI agents that execute complex tasks, make decisions and interact with your systems independently, reliably and at scale.
AI agents represent the next level of intelligent automation. Unlike traditional chatbots, agents can plan, execute multiple steps, use tools and make autonomous decisions to solve complex problems in your business context.
Agents that maintain context in long conversations, access systems, and execute actions on behalf of the user.
Multi-step process automation with agents that orchestrate APIs, databases, and external services.
Architectures with multiple specialized agents that collaborate to solve complex problems.
Agents that use tools such as calculators, search engines, APIs, and databases to complete tasks.
Agents that monitor metrics, detect anomalies, and execute corrective actions automatically.
Orchestration platforms that manage agent lifecycle, scalability, and observability.
Agents that resolve tickets, categorize requests, and execute actions in ITSM systems automatically.
Agents that read, interpret, and extract information from complex documents like contracts and reports.
Monitoring agents that detect problems, diagnose causes, and execute remediations automatically.
Agents that collect, analyze, and synthesize information from multiple sources to support strategic decisions.
Agents that qualify leads, update CRM, and generate personalized proposals automatically.
Agents that automate deployments, rollbacks, and infrastructure optimizations based on metrics.
Identifying candidate processes for agent automation and defining scope and autonomy limits.
Agent architecture with tool definitions, memory, business rules, and guardrails.
Implementation with extensive scenario testing, edge cases, and agent decision validation.
Deployment with detailed logging, performance dashboards, and human-in-the-loop mechanisms.
Feedback-based refinement, capability expansion, and addition of new tools and integrations.
Identifying candidate processes for agent automation and defining scope and autonomy limits.
Agent architecture with tool definitions, memory, business rules, and guardrails.
Implementation with extensive scenario testing, edge cases, and agent decision validation.
Deployment with detailed logging, performance dashboards, and human-in-the-loop mechanisms.
Feedback-based refinement, capability expansion, and addition of new tools and integrations.
Predictive and prescriptive models integrated into operations to forecast behaviors, detect patterns and support strategic decisions with precision and scale.
Learn howProprietary frameworks and tools that significantly reduce implementation time for AI projects, from concept to production.
Learn howIntegration of AI models into existing systems — ERP, CRM, internal platforms — with security, scalability and measurable operational impact.
Learn howEnterprise solutions with LLMs, RAG and conversational agents that automate complex tasks and generate measurable value in production environments.
Learn howCombination of RPA, AI and machine learning to automate end-to-end processes with adaptive intelligence and operational efficiency.
Learn howCombination of RPA with AI to automate repetitive processes, reduce errors and increase operational efficiency at scale.
Learn howStrategic workshop to map AI opportunities, build functional prototypes and define the implementation roadmap for your company.
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