From ideas to hands-on: how AI and Claris FileMaker 2025 are coming together
Claris FileMaker 2025 integrates AI at its core—bringing smarter search, automated text handling, data validation, and predictive insights that simplify development and elevate everyday workflows.
Cathy
27 October 2025
•
3
min
In the following Community Live session, Claris delivered an engaging walkthrough of how FileMaker 2025 is becoming more intimately integrated with AI capabilities.
By showcasing practical examples and real-world use cases, this session bridges the gap between the exciting potential of AI and the day-to-day work of building solutions that solve actual business problems.
Here are the most exciting revelations and their implications for developers and businesses:
Text management and communication
Summarize and rewrite text
Transform lengthy, informal notes into professional, polished content. Whether it’s field technician notes or internal communications, AI can restructure text to be customer-facing ready, with proper grammar, terminology, and formatting. You can also convert notes into different formats like bullet points or translate them into multiple languages on demand.
Summarize conversations
Consolidate notes scattered across multiple records and dates into one coherent summary. When customer interactions span weeks or months across different touchpoints, AI can synthesize all that information into a clear, actionable overview.
Content creation
Generate email drafts, product descriptions, or customer correspondence. AI can generate content ideas, refine tone, or reword drafts to sound more engaging or professional.
Translating content
It provides on-the-fly translation into virtually any language, breaking down communication barriers effortlessly.
Data quality and validation
Validate records
Ensure data integrity by using AI to verify email formats, URL structures, and even cross-reference information like zip codes matching their corresponding addresses. This provides a first layer of quality control, catching inconsistencies early.
Determine sentiment
By analyzing tone and sentiment, AI helps identify whether feedback is positive, negative, or neutral, allowing teams to prioritize responses and identify potential issues before they escalate.
Intelligent search capabilities
Find by natural language
The Perform Find by Natural Language script step represents a major leap forward. Users can now search databases using everyday language instead of structured find criteria. This democratizes data access for non-technical users.
Semantic find
Locate related records based on the meaning behind the text, even without exact keyword matches. AI understands the meaning and context behind text, making searches more intuitive and comprehensive. For example, searching for “Dr. Seuss-inspired” images will surface whimsical artwork even if those exact words aren’t in the metadata.
Data analysis and intelligence
Generate insights
By analyzing logs, reports, or large data sets, AI can detect outliers, highlight trends or identify unusual patterns that would take humans hours or days to discover.
Classify and tag data
Automatically analyze and tag visual data stored in container fields, such as photos, artwork, or scanned documents. It can automatically generate titles, descriptions, styles, categories or tags.
Predictive capabilities
Suggest next actions
By analyzing customer history, purchase patterns, and interaction notes, AI can recommend logical next steps, such as which products to recommend or when to follow up with a client.
This brings predictive intelligence directly into FileMaker workflows.
Personalized assistance
The new “Perform SQL Query by Natural Language” script step enables users to ask questions about their database, for example, “Which customers haven’t ordered in the past six months?”. FileMaker translates the question into SQL, runs the query locally, and feeds the results into AI to deliver a clear, human-readable answer.
Smarter building tools for developers
Create sample data
AI can generate realistic, contextually appropriate test data instantly based on prompts, without exposing real customer data, eliminating the tedious work of manual data creation. Better sample data means better testing, more relevant demonstrations, and ultimately superior solutions.
Generate SQL queries
For those who find SQL syntax challenging, FileMaker 2025’s natural language query tools can generate SQL statements automatically, providing developers with a solid starting point.
Automate Internet research
Starting with just an email address, AI can research a company by searching the internet and returning comprehensive information including company name, industry, employee count, headquarters location, competitors, products, services, and even the latest news articles. This transforms a single data point into a rich company profile.
AI integration in FileMaker isn’t just about adding flashy features.
It’s about fundamentally improving how users interact with their data, reducing friction in daily workflows, enhancing data quality, and empowering both technical and non-technical users to extract more value from their solutions.
