The agentic control plane: build, coordinate and govern the AI agents that move your processes forward, for real.
The first wave of enterprise AI could converse. The new one can work: it understands the goal, uses the right systems and completes the process, with you as the supervisor.
watsonx Orchestrate connects agents, workflows and systems to coordinate end-to-end work, with security, openness and control built in. Fragmented AI becomes connected execution.
no-code, pro-code or brought-in agents: no framework lock-in
a supervisor routes requests and makes agents collaborate on the process
full visibility, policy and lifecycle control: security and compliance at scale
agents composed visually: instructions, knowledge, tools and apps connected with drag and drop. The process owner becomes a builder.
for developers: specialized agents built from scratch, integrated with external tools and open source frameworks, also via open protocols like MCP.
agents built elsewhere register and are orchestrated in the same platform: no lock-in, the investment you made is reused.
The value is not the single agent: the supervisor breaks down the request and coordinates the specialists all the way to the result.
a person asks in natural language: “prepare the new hire’s onboarding”
breaks down the process and routes the tasks to the right agents, sharing the context
the HR agent opens the paperwork, the IT one sets up access, the procurement one orders the laptop
the process closes end-to-end, with an audit trail and human approvals where needed
A governed catalog to find, evaluate and reuse enterprise-ready agents and tools (source IBM).
onboarding, employee requests, paperwork handling
opportunity preparation, system updates, follow-up
purchase requests, suppliers, journal entries and reconciliations
end-to-end answers and cases, with escalation to people
tickets, access requests, provisioning and automations
from Box, Mastercard, Oracle, Salesforce and ServiceNow (source IBM)
agents use the systems you already have: CRM, ERP, HR, ticketing, collaboration. The work stays there, what changes is who does it.
framework-agnostic: external tools and agents integrate, also via open protocols like MCP. The ecosystem grows without redoing anything.
where absolute precision is needed, the agent invokes traditional workflows and automations: AI where it helps, determinism where it’s a must.
The right question is not “which AI do I buy”, but “how do I make the ones I have work together”.
agent performance and reliability monitored continuously: what they do, how they respond, where they go wrong
clear limits on what an agent can do, with human approvals on the critical steps
from draft to production to retirement: versions, permissions and control, agent by agent
the insight volume estimated by UFC, with query generation times cut by 40%
the daily active users for Ferrari, with 35% more average time spent in the app
of complaints resolved within 48 hours for Serre Chevalier, with over 1,500 conversations in the first month
The point is not to replace people: it’s to take away from people the work that doesn’t deserve their time.
operational immediately in the IBM cloud: continuous updates and fast time-to-value
agents run where it makes most sense: even in your data center, close to data and systems that don’t leave
models, data and governance of IBM’s AI platform, in a single design
You start from a process, not from an infrastructure project.
YoctoIT is a company of the Var Group, services division. We put agents to work on our clients’ real processes, connected to the systems we manage every day.
Certified quality: ISO 9001:2015 · ISO 27001:2022 · ISO/IEC 27017 and 27018 · IBM Fusion Certified Partner
“IT that never stops”
We choose the right process together: repetitive, measurable, with a clear return.
One agent on the real process, connected to your systems, with before-and-after metrics.
Guardrails, observability and approvals: the agent goes live, under control.
New agents from the catalog and custom-built, with continuous YoctoIT management.
The first agent in production changes the conversation: from “if” to “which process is next”.