Management
What changed in the business since yesterday that needs my attention?
Operator reviews yesterday's activity across your systems and returns a short brief: what moved, what stalled, and what needs a decision today.
Put AI to work across your business
Operator reduces routine work, answers questions from your real business data, watches what matters, and performs work in the systems your company already uses.
- Fewer manual steps in everyday operations.
- Answers and actions grounded in your own data.
What changes when AI joins your operations
Not a technology project — four practical shifts in how work gets done.
- Less routine work — Repetitive queries, checks, data entry and administrative steps are handled by AI instead of people.
- Faster decisions — People get answers straight from business information, without waiting for someone to prepare a report.
- Nothing important gets missed — AI continuously watches deadlines, exceptions, missed actions, and important changes — and brings them to attention when needed.
- Faster adaptation — New workflows and small business applications appear in days, instead of waiting for the next software project.
How everyday work changes
Familiar situations, handled differently.
- “Ask someone from accounting” → Ask Operator directly
- Someone must remember to check → AI watches continuously
- Someone manually moves or enters information → AI performs the operation
- Important knowledge lives in people's heads → AI retains and uses operational knowledge
- A small new requirement becomes an IT project → Build an app for it
- A process depends on somebody remembering it → Operator monitors whether it happened
What people actually ask Operator
Real situations from across the company. Pick a department.
Sales
Show me overdue customers and stalled opportunities, and prepare the follow-ups.
Operator lists overdue balances and opportunities with no recent activity, then drafts a follow-up for each owner to review and send.
Operations
Watch open orders and flag anything at risk of missing its deadline.
Operator keeps watching open orders and raises a flag as soon as the time left no longer covers the steps left.
Finance
Check transactions and documents against our rules and surface the exceptions.
Operator applies your rules to every document, clears what complies, and puts only the exceptions in front of your team.
Customer service
Handle routine requests and escalate the unusual cases.
Operator answers standard requests from live data and hands anything unusual to a colleague, with the context already gathered.
How Operator puts AI to work
Four building blocks, each doing a different job. Open one to see how it works.
Intelligent Workspace
Give every employee an AI interface to the business.
One chat across your business systems — starting with ERP.net, expandable through MCP.
- ERP.net connected out of the box — query records and act immediately
- Connect any contemporary system through MCP
- Create, update, and act across systems in one conversation
AI Agents
Delegate repeatable work to specialized AI agents.
Specialized agents for every role, running on autopilot when you need them.
- Role-based agents that follow your SOPs
- Triggers, schedules, webhooks, and events that wake agents automatically
- Voice, chat, or unattended — same agent, same audit trail
Digital Entities
Keep important things continuously watched, remembered, and managed.
Always-ON entities that watch, remember, and act on their own.
- Always active — they wake themselves when something needs attention
- Long-lived memory and state, so nothing gets forgotten between days
- Notice what happened — and what failed to happen
App Builder
Turn new business requirements into working software.
Build custom apps in natural language, backed by the ERP.net data model.
- ERP.net is the default data model — customers, products, documents, and more
- Apps work out of the box against proper business objects
- Still free to build any app you can describe
Not a chatbot. An operational AI platform.
General assistants talk about work. Operator takes part in it.
A general chat assistant
- Answers from general knowledge
- Cannot see your business data
- Waits to be asked
- Forgets between sessions
- Produces text
Operator
- Works with your real business systems and ERP.net data
- Queries and acts — not only answers
- Runs autonomously when that is appropriate
- Monitors over time and keeps state through Digital Entities
- Builds business applications and connects further systems through MCP
Everything runs inside your company's business context and permissions.
Start with one useful task. Expand from there.
You don't need an AI transformation programme. You need one result worth repeating.
- Pick one thing — One repetitive task, one decision bottleneck, one thing that must be watched, or one small application.
- Measure it — Compare time, errors and delays before and after. Keep it if it pays off.
- Expand — Add the next task, the next team, the next process — at whatever pace the results justify.
Not sure where to start? Just ask.
Not sure where to start? Just ask.
Sign in and ask Operator what it can do for your business — or what ERP.net can already do out of the box. Whether you want to find a report, automate a step, or understand a process, the first move is a question.
Put AI to work in your business
Start right away, or tell us where you think AI could help — we'll come back with a concrete first step.