A proven framework that structures the design, configuration, and industrialization of reliable business AI agents under human control — from operational need to go-live.
Spot processes, friction points, repetitive tasks, and bottlenecks across the organization.
Frame the need: business goals, constraints, available data, applicable rules, and measurable success criteria.
Model the target workflow: steps, roles, decisions, exchanged data, interactions with existing systems.
Specify the target AI agent: mission, scope, required tools, memory, context, rules, controls, and human escalation points.
Configure the agent's components — Skills, Memory, User profile, Soul, Context, Tools, Guardrails — and prepare the environment.
Deploy, test in real conditions, monitor indicators, continuously improve, and industrialize the agent within the operational workflow.
This framework formalizes what distinguishes an AI POC from a genuinely operational agent: rigor on scope, quality of configuration, and mastery of production rollout.
It is designed to be used iteration after iteration, agent after agent. Every delivery enriches the shared catalog and accelerates the next ones.
A 30-minute workshop to run the Identification phase together and surface your first AI use-case priorities.