AI integration for existing business
systems
Connect AI to the systems that run your business.
We integrate AI into existing ERP
systems, business databases and operational workflows — without
separating it from the data, rules and tools your team already uses.
Move from an isolated AI tool to an operational solution.
An AI demo can produce an answer. A useful business solution must
also access the right data, respect permissions, follow the process and
return the result to the system where work continues.
Lolli Group designs AI integrations around your existing ERP,
databases and internal software. We connect the technology to a defined
business task and make it usable inside daily operations.
What AI integration means
AI becomes part of the workflow, not another disconnected
application.
Depending on the existing system, an integration can use approved
APIs, database connections, automation services or a dedicated
integration layer.
The objective is to let AI work with the information and rules
required for one specific process while keeping access controlled and
the operational system authoritative.
What we integrate
Existing systems remain at the centre.
- ERP and management software.
- Claris FileMaker solutions.
- SQL and other business databases.
- Document archives and approved knowledge sources.
- Email, forms and incoming requests.
- APIs and external business services.
- Internal applications and reporting tools.
Practical applications
Use AI where it removes friction from real work.
Document and email processing
Extract, classify and validate information from documents or
messages, then connect the result to the correct business record.
Assisted data entry and quality control
Suggest values, identify incomplete records and support consistency
checks while keeping the user in control.
Workflow automation
Coordinate steps between the ERP, databases, documents and external
services when a process currently depends on repetitive manual work.
Operational decision support
Present relevant data, exceptions and possible next actions based on
defined business rules and authorised information.
AI inside FileMaker
Add AI-assisted functions directly to an existing FileMaker interface
and workflow instead of moving users to a separate tool.
How we build the integration
1. Define one useful outcome
We begin with the process, the people involved and the operational
result to improve.
2. Map systems and data
We identify the ERP, databases, APIs, documents, permissions and
constraints involved in the process.
3. Design controlled access
We define which information the AI function can use, what it can
return and where human review is required.
4. Build and test a working solution
We test the integration against the real workflow and approved data,
including errors and exceptional cases.
5. Integrate it into operations
We connect the result to the existing system, support adoption and
improve the solution as requirements change.
Security and control
Business data needs explicit boundaries.
Every integration must define data access, permissions, retention,
error handling and user responsibility. Sensitive information should not
be sent to an AI service simply because a technical connection is
possible.
We design the solution around the company’s approved systems,
policies and operational requirements. Where full automation is not
appropriate, we include human review before data is accepted or an
action is completed.
When modernisation comes first
AI cannot repair an unclear process or unreliable data by
itself.
An existing ERP or database may need preparation before AI can be
integrated safely. This can include data cleaning, permission design,
API development, workflow simplification or system modernisation.
When conventional automation is more reliable or economical, we say
so. The objective is a useful operational improvement, not an AI feature
at any cost.
Questions companies ask
How can AI be integrated into an existing ERP?
AI can connect through the ERP database, available APIs or a
controlled integration layer. The correct method depends on the system
architecture, data quality, permissions and process involved.
Can AI be added without replacing the current ERP?
Yes, in many cases. The ERP remains the operational system while AI
supports a specific task such as document processing, search,
classification or decision support.
Can FileMaker connect to AI services?
Yes. FileMaker can exchange data with approved AI services and
external systems through scripts, APIs and integration components. The
design must control which data is used and how results return to the
FileMaker workflow.
What is the difference between a prototype and an operational
integration?
A prototype tests whether an idea can work. An operational
integration must also handle permissions, data quality, errors,
exceptional cases, user review and the connection back to the business
system.
How do you protect business data when using AI?
Protection starts by limiting access to the information required for
the task. The integration must also define permissions, approved
providers, retention rules, logging and when a person must review the
result.
Why Lolli Group
Deep FileMaker expertise with a wider systems perspective.
Lolli Group works with the systems that businesses already depend on.
Our FileMaker expertise is supported by experience in ERP modernisation,
databases, APIs and process automation.
This allows us to treat AI as one component of a working business
system, not as a separate product disconnected from operations.
Choose one process where better use of data would make a
difference.
Tell us which ERP, database or FileMaker solution is involved and
what your team is trying to improve.