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When you are ready for AI, Louis helps you introduce it where it can make a practical difference:
You choose the models, tools, permissions, budgets, and level of human review.
Most teams know where the frustration is, but not always what causes it.
Capture obstacles when they happen, not days or weeks later.
Measure where time is spent, where work waits, and which steps add little value.
Turn lessons into process changes while preserving comparable history.
Give AI the right context, a defined job, and boundaries your organization controls.
From “we think this is the problem”
to “we know what to improve next.”
Your workflows reflect how your organization actually operates.
Outcome: a repeatable improvement loop anchored in the work your team already does.
Measure hours worked, calendar days in each step, throughput, cycle time, lead time, queue time, work in progress, and skipped workflow steps. Louis helps you distinguish effort from waiting—and identify the stages that deserve attention first.
When a team member completes a workflow step, Louis prompts them to record time and document any obstacle. Those observations flow into a shared Process Review, where the team can discuss causes and record proposed solutions while the experience is still fresh.
Define your own task types, workflow steps, responsibilities, approvals, templates, tags, and review cadence. Use Agile, Kanban, GTD, cyclical operations, professional services, or a custom business process rather than forcing every team into the same model.
Renewable projects and cycles let you improve the process at a deliberate review point while keeping periods consistent and comparable. Track whether changes actually improved delivery instead of relying on memory or one-off snapshots.
Use the built-in wiki for project charters, decisions, client specifications, renewal notes, and task guides. Version history, discussions, and follow controls keep context accessible and accountable.
Work naturally in English and FrenchLouis supports English and French interfaces and bilingual business content. With AI enabled, content can be translated on demand or automatically while preserving authored text and Markdown formatting.
Have Louis orchestrate your agentic work and see every aspect of it with detailed information on how your AI resources are used.
Louis gives AI the context of the task, the project, the workflow, and your documentation. That means your team can ask useful questions without repeatedly copying, pasting, and explaining the work.
Ask in plain language. Get an answer based in the work and numbers already inside Louis.
Review a project or initiative, Identify gaps and risks, stalled work and missing ownership.
Analyze real process measures and answer questions such as “Where is our bottleneck?” or “Are we getting faster?”
Produce status reports and retrospectives with charts based on the same measured data as the dashboard.
Draft task content, acceptance criteria, project documentation, and improvement recommendations.
Explain AI spend, highlight expensive conversations or runs, and recommend where token costs can be reduced.
Louis agents work alongside people on the same tasks and workflow steps. Adapt the built-in agents to your organization, or create skills for different types of tasks in your workflow.
Namesake of the application, Agent Louis is your principal AI assistant. He can help shape an initiative, improve the plan, define a workable process, and identify risks before execution begins.
He is also the first of two orchestrator agents that can help you fully automate tasks, do deep research, run evaluations, and report clearly on it all.
Gwen is there to help explain how to use Louis. Ask her how-to or why questions about Louis functionality. Louis will refer such questions to Gwen.
If you use Louis to manage software development, Frank is the agent you use to write code. Check out ‘Frank & Louis’, the Visual Studio Code extension that lets your developers use Louis in VSCode and report Frank’s effectiveness directly into Louis.
Frank is also an orchestrator that is specialized around software projects. Carefully design your application in Louis and then have Frank orchestrate its implementation.
When workflows are enabled, Ubi is the doer. The only agent you can assign an operation to. When a project is orchestrated by Louis or Frank, many Ubi tasks can run in parallel.
Put AI to work with boundaries you can see.
AI usage is not hidden in a black box. Louis reports spend by provider, model, agent, service tier, and work surface, and keeps a durable record of agent runs—including failures and the cost of work that did not complete.
Connect AI to the tools and practices your team already relies on.
MCP servers can extend Louis with external tools and data sources.
Skills teach the assistant and agents how your organization works: your vocabulary, field rules, methodology, approval paths, escalation rules, and definition of done.
The result is AI that behaves less like a visitor and more like a properly briefed member of the team.
Contact JFDavignon.Solutions if you need to connect to a different provider or your own internal model.
For on site or remote team coaching and training, and for custom integrations, click below on the ‘Find out More’ button to book a consultation or demo of Louis.