Envision

Artificial Intelligence

• Understand the client’s context and productivity needs in order to define a realistic agentic TechOps platform tailored to their level of maturity
• Assess the current environment, identify quick wins, and prioritize use cases
• Define the methodology for documenting, designing, and evolving agents, as well as for creating runbooks and standardizing tools and scripts
• Build initial agents with teams for real-world TechOps and Cloud Operations use cases
• Connect agents to existing ticketing systems, monitoring tools, and cloud platforms, with access rights defined according to the principle of least privilege
• Measure value through real-world use cases, track key metrics, and progressively expand the scope of the agents
• Determine whether to use an agent, a script, or an improved procedure
• Onboard teams to an AI-first approach and enable them to operate independently
• Depending on experience, frame use cases with decision-makers and present a quantified value proposition

Consultant, TechOps & AI