how baguette agents run the busywork of operations
baguette agents watch the work, prepare the next step, and execute approved routines, while your team keeps authority over decisions.
not another chatbot
most business ai starts as a chatbot. you ask a question, it answers, and then you still have to do the work somewhere else. that is useful, but it does not remove the admin load from the team.
baguette agents are built for the next step. they can read the shared operating data, prepare work, ask for approval when needed, and then execute the routine action inside the same app.
what the agents actually do
the agents work across the core modules: ai agents, accounting, crm, projects, hr & payroll, and time tracking. because those modules share context, the agents can handle tasks that usually fall between departments.
daily briefings
every morning, your agents can summarize the state of the business:
- cash position and upcoming payments
- overdue invoices and suggested follow-ups
- projects at risk because time, scope, or budget is drifting
- team capacity, leave, and payroll reminders
- conversations that need a response
you do not start from a blank dashboard. you start from a short operational briefing that points to what needs attention.
invoice and payment follow-up
agents can find invoices that are overdue, draft polite reminders, add the context from the project or client record, and send the draft for approval. once approved, they can log the follow-up and keep watching for payment.
crm and project hygiene
after a meeting or chat, agents can update the crm, add next steps, connect tasks to a project, and remind the owner before the handoff gets stale. the team sees the update, edits it if needed, and keeps moving.
paperwork and internal admin
agents can prepare expense paperwork, hr forms, time summaries, vat working notes, and internal reports. the human reviews the parts that need judgment. the agent handles the repetitive structure and routing.
the point is not to replace the operator. the point is to remove the work that keeps the operator from operating.
the authority model
baguette agents run on explicit authority. admins decide what an agent can observe, suggest, prepare, and execute. routine actions can be automated within limits. sensitive actions can require review every time.
that matters because business operations are full of context. a payment reminder, payroll adjustment, client update, or vat classification may be simple most of the time, but the edge cases need a person.
why this gets better over time
agents become more useful as the operating layer becomes cleaner. when projects, clients, invoices, people, and time are all connected, agents can detect patterns and prepare better actions. if a client usually pays in 15 days and now sits at 45, the agent can surface that change. if a project is burning hours too quickly, it can warn the team before the margin disappears.
the value is not only the model. it is the shared context around the model.
the outcome
with baguette, your team still leads. the agents handle the files, reminders, updates, summaries, drafts, and routine checks that make operations heavy. that is the product direction: one app where people and ai agents work together every day.