Building AI solutions for information work
Jinfo Report
29th October 2026
Abstract
AI tools make it easier for information professionals to build solutions, but reliable use requires more than a working prototype.
Drawing on Jinfo’s research into use cases, practitioner experiences, and experimentation creating an AI “subscription review” agent, this report explores implementation choices, analytical testing and operational requirements.
It considers how professional expertise turns prototypes into useful tools, whether for one person, or wider organisational use.
Contents:
Drawing on Jinfo’s research into use cases, practitioner experiences, and experimentation creating an AI “subscription review” agent, this report explores implementation choices, analytical testing and operational requirements.
It considers how professional expertise turns prototypes into useful tools, whether for one person, or wider organisational use.
Contents:
- Executive summary and recommendations
- Introduction
- Choosing the right approach to AI implementation
- Choosing an appropriate approach (table)
- How difficult is it to get started?
- AI-assisted application development
- Define a manageable first version
- Testing the analysis
- Test against known cases
- Lessons from testing a “subscription review” agent
- Check that conclusions survive changes in format
- Establish the limits of reliance
- Moving from prototype to operational use
- Connecting to current information
- Making the solution usable by colleagues
- Assigning ownership and maintaining performance
- Establishing whether operational use delivers value
- Conclusion.
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About this report
- Report title: Building AI solutions for information work
- Pages: 9
- Link to this page
- View printable version