Involve end users. Build with them.
Otto supports a continuous approach: understand real work, propose useful AI assistants, build them progressively and help teams adopt them.
Speak with teams
A gradual startOtto speaks with the employees involved to understand their tasks, tools, documents, pain points and expectations regarding AI.
End users are involved from the start. The project begins with their real work, not a top-down assumption about what should be automated.
Structure operational needs
Ongoing analysisOtto organizes conversations into actionable needs: process steps, information used, decisions to safeguard, expected deliverables and automation limits.
This detailed understanding helps identify assistants that can genuinely support employees in their daily work.
Propose useful assistants
Shared prioritizationAgentscium and Otto formalize relevant use cases: information retrieval, summaries, drafting, checks, monitoring, deliverable preparation or partial automation.
Proposals are reviewed with the company and user representatives to preserve operational control and solution acceptance.
Build with users
Progressive deploymentBusiness AI assistants are designed, tested and refined with the teams that will use them: outputs, usage rules, useful connections and process integration.
The solution is not simply delivered to teams. It is built with them so it fits their actual working practices.
Support adoption
Over timeOtto helps employees get started with assistants, gathers feedback, clarifies appropriate use and identifies further improvements.
AI adoption remains gradual: every delivered assistant builds shared learning and prepares the next use cases.
AI becomes useful when it is built with the people who use it. That is Otto’s role.
Let’s identify the assistants that can help your teams.
During this 30-minute call, we will review your processes, priorities and the first use cases that could be relevant to your teams.