AI agents for a large company's processes. And the full Magic ecosystem in the same systems.
The Magic team deploys AI agents that run a process end to end: sales, service, documents, approvals. The agents work inside your systems, and Magic modules connect to those same systems.

Enterprise automation and Magic work for each other

What a large company gets from Magic
The pooled-order price and a direct factory tender The bank inside the deal: letter of credit, bank guarantee, deferred payment terms The finance module: invoice reconciliation before payment, cash, spend control Everything in the same systems, with no new IT vendor
What a Magic client gets from enterprise automation
AI agents for processes beyond the ready-made modules Deployment into the company's ERP, CRM and accounting systems A team that takes the process to results and measures them Agent autonomy levels set to company policy
Ready-made modules or a process built for your company
| Magic modules | Enterprise deployment | |
|---|---|---|
| Who it's for | Developers, construction companies, finance teams | Large companies in any industry |
| What you get | Ready-made module scenarios | A process built around your company |
| Where it starts | A module pilot | A first process on real data |
| How they connect | Modules connect to the systems where the agents work | Agents run the processes around the modules |
The Business Automation module brings ready-made scenarios for developers. Enterprise deployment is built around the processes of a large company in any industry.
Modules and deployments share the technology. Every client keeps its own data

Shared across all modules and deployments
Magic AI core: dialogue, process memory, roles and permissions Action log and rollback Connectors to accounting, banking and construction systems Factory, bank and carrier terms that come from combined volume
Unique to each client
Invoices, prices, customers, deals Agent settings and approval rules Access to its own systems Its own order, with its prices and volumes
One client's data is not shared with another without that client's consent.
You decide how much to trust the agent
| What the agent does | What the person does | |
|---|---|---|
| Suggestion | Proposes a reply or action | Approves every action |
| Action with approval | Prepares the full action | Approves in batches |
| Autonomy within limits | Acts on its own within limits and permissions | Reviews the log and exceptions |
| Closed-loop process | Runs the process from request to result | Handles exceptions only |
Moving to the next level is approved by the client. In decisions about money, the final word stays with a person.
How an enterprise deployment starts
- 1Introduction
- 2Choosing the first process
- 3Baseline on your own numbers
- 4First process on real data
- 5Agreement
- 6Deployment
- 7Expansion to adjacent processes and Magic modules
Let's decide which process to start with
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