AI employees for Teams and Slack
Custom AI employees, built into and .
Each one has a name, a job and a manager. Switch builds them around your workflows. A person approves every result.
Aino 09:00
@Ava prepare this week's customer follow-ups.
Ava · Operations AI employee
- Read 14 open deals in HubSpot
- Checked 9 email threads in Outlook
- 3 need your decision
- · Nordic Foods: confirm delivery date
- · Kesko: send revised quote
- · Alko: book review call
Already in use with
leading brands











Meet your new team
AI employees with a real job description.
Examples of the roles we build. Your team manages them.
@Operations Agent
Operations
Chases follow-ups and flags exceptions.
Saves ~12 h / week
@Finance Agent
Finance
Matches invoices and prepares month-end.
Saves ~10 h / week
@Sales Agent
Sales
Researches leads and drafts outreach.
Saves ~8 h / week
@Brand Agent
Marketing
Produces on-brand images and copy.
Saves ~15 h / week
@Support Agent
Customer service
Drafts replies from your knowledge base.
Saves ~9 h / week
@Reporting Agent
Management
Builds the weekly report from your systems.
Saves ~6 h / week
Works where your team works
- 01
Tag @Switch
Ask in any channel or thread, like you would a colleague.
- 02
It works across your tools
CRM, email, documents and the systems you already use.
- 03
You approve in the thread
Finished work comes back. A person signs off.
Your agents. Part of the conversation.
Give direction in Teams or Slack. Get finished work back for approval.
You 09:00
@Switch prepare this week’s customer follow-ups.
Switch 09:02
Ready. I checked your CRM and recent conversations.
- Draft replies prepared
- Next steps gathered
- Exceptions flagged for you
Illustrative workflow · Slack
Three layers of an agent organisation
Keep the basics simple. Build for the demanding work.
Three decisions, built from the ground up. First decide who owns the agents. Then pick a general-purpose agent for the basics. Then build custom agents for the work that moves your P&L.
- 1
Step 1 · The foundation
Decide: Agent ownership internally
Decide who owns which agents in your company and teams
- 2
Step 2 · Everyday tasks
Decide: General-purpose agent
Claude or ChatGPT for the basics
Writing, summaries, quick questions. Keep it simple.
- Draft an email
- Summarise a document
- Brainstorm ideas
- 3
Step 3 · Demanding work
Build: Custom agents
AI employees for work with business impact, built by Switch
Multi-step work across your systems that shows up in your P&L.
- Month-end checks
- Brand imagery at scale
- Weekly reporting
Customer results
Already in use at leading brands.


~50%
of brand imagery delivered by AI employees within weeks.
15 brand managers onboarded in one session.
How we work
- 01
Agree the plan
Agree the steps, owners and dates together.
- 02
Map your needs
Understand your workflow, pain points and goals.
- 03
See it on your work
See a working agent on your own workflow.
- 04
Business case
Connect the value to cost, revenue and margin.
- 05
Price and terms
Agree scope and price for one first agent.
- 06
References
Hear from customers who have done it.
- 07
Procurement
Clear legal, security and vendor onboarding.
- 08
Sign and start
Sign the shared scope and book the kick-off.
- Human approval on every result
- Your data stays in your tools
- GDPR compliant
- Hosted in the EU
- Open by design: any agent or app via Switch MCP
Pricing
Simple monthly plans.
Free test
€0 free test
Try Switch on your own work, together with a Switch team member.
Platform
€990 per month + usage
Unlimited agents on Switch. One onboarding call and you're up and running.
Managed
Recommended€3,000 per month
Switch finds, builds and rolls out the AI employees for you.
Enterprise
Custom per agreement
The platform, shaped around your organisation.