Your AI employees work inside your systems.
They read business context, take action under the rules you define, and write the result back — across CRM, ERP, messaging, email, databases, APIs and your own internal systems.
Connect to the systems your teams already use.
Through APIs, controlled data access, or custom adapters.





- Oracle











What a connection is actually for
An integration is not a data feed. It is the difference between an assistant that talks about your business and an employee that works in it.
- 01
Read
Pull the context an answer depends on — the customer, the order, the booking, the account.
- 02
Decide
Apply your business rules and the permissions you granted, and nothing beyond them.
- 03
Act
Create, update, schedule, send or assign — the operations you allowed, and only those.
- 04
Write back
Record the outcome in the system of record, so the next person to look sees what happened.
The systems a business actually runs on
Six categories, and the work an AI employee does in each.
Communication
Answer on the channel the customer used, and send confirmations back through it.
PhoneWhatsAppInstagram DMsFacebook MessengerEmailWeb chatSMSCRM
Identify the customer, read their history, and write the outcome back to their record.
SalesforceHubSpotMicrosoft DynamicsZohoCustom CRMERP & Business Systems
Check what is actually available, then create or update the transaction.
SAPOracleOdooCustom ERPProductivity & Collaboration
Book time, share a document, or hand a task to the right person.
Microsoft 365Google WorkspaceTeamsSlackDatabases & APIs
Read the records an answer depends on, through access scoped to that purpose.
SQL ServerPostgreSQLMySQLREST APIsInternal APIsPayments & Commerce
Take the booking to the point of payment, and record what was collected.
Payment gatewaysPOSBooking platforms
Examples of systems WAKELAK can be connected to through APIs, controlled data access, or custom adapters. Integration scope depends on the systems and permissions available in your environment.
One conversation, four systems
The employee stays the orchestrator throughout. The customer has one conversation; the systems stay consistent behind it.
- 01Read
CRM
Identify the customer
Reads the record and the history that matter to this request.
- 02Read
Business system
Check what is available
Looks at real availability, stock or capacity — not a cached answer.
- 03Decide
AI Employee
Decide under your rules
Applies the policy you configured, and asks a human where you require one.
- 04Act
Business system
Create the transaction
Books, orders or schedules it in the system that owns it.
- 05Act
Messaging
Send the confirmation
Back through the channel the customer used.
- 06Write back
CRM
Update the record
The outcome lands in the CRM, so nothing has to be re-entered.
Your systems don't have to be famous to be connected.
If your business provides an API, a database, a webhook or another controlled interface, WAKELAK can be designed to work with it — including software nobody else integrates with.
REST APIs
Your endpoints, called with credentials scoped to the operations an employee needs.
Webhooks
Events from your systems, so the employee reacts to what happens rather than polling for it.
Databases
Read-scoped or write-scoped access, at the level of detail agreed with your team.
Internal & legacy systems
A thin adapter in front of software that has no public API, exposing only what is needed.
No systems yet? We can build the operating layer too.
You don't need an existing CRM, ERP or workflow platform to start. WAKELAK can design the business systems your AI employees need — from customer records and scheduling to workflows, dashboards, APIs and operational data.
- CRM
- ERP
- Databases
- APIs
Connect the AI workforce to what already exists.
- Customer & lead records
- Booking & scheduling
- Order & case management
- Internal workflows
- Approval flows
- Dashboards
- Knowledge base
- Operational database
- API layer
- Notifications
- Reporting & audit trail
Build the operating environment the AI workforce needs.
These are examples, not a checklist. Each capability is purpose-built and scoped to the workflow the AI employee is responsible for.
AI workforce
One controlled business environment
One connected ecosystem, built around how your business actually works.
Access is scoped before it is connected
An integration is a set of permissions, not a key to the building.
Least-privilege access — the employee reaches only the records the work requires.
An allow-list of actions, so nothing outside it can be performed at all.
Approval gates where you want a person to sign off before something happens.
A full audit trail: what was read, what was done, and when.
Ready to build your first AI employee?
We'll map the first workflow, define the right AI employee, and identify the systems, knowledge and controls it needs to operate.