Knowledge is hard to find
Staff may search folders, chats and documents for the current answer to a recurring question.
Service 03 / business-specific tools
Custom AI solutions for Singapore SMEs
A focused AI tool may be worth building when your workflow, information or user experience needs do not fit a reliable off-the-shelf option.
Custom does not mean starting with a large system. A small, testable tool may be the more responsible first step.
What this helps with
Build around the information your team actually uses
Custom AI solutions can bring a carefully selected set of business documents, rules and actions into a focused internal or customer-facing experience. The design should keep accuracy, review and ownership visible.
Documents need interpretation
Important information may be buried in varied documents and require a person to check the extracted context.
Off-the-shelf fit is limited
A generic tool may not match your terminology, approval path, data boundaries or preferred workflow.
Illustrative examples
Small tools for specific business questions
The examples below are illustrative only. They are not client projects, client results or promises of a particular outcome.
Internal knowledge assistant
A staff member may ask about selected policies or procedures and receive a source-linked answer for review.
Document review helper
A tool may identify fields or clauses in recurring documents while keeping a person responsible for the final check.
Enquiry response draft
An approved information set may help prepare a draft response that a team member can edit and send.
What is included
A constrained build with a clear handover
Use-case definition
Define the user, question, source information, desired action and boundaries for the tool.
Prototype and testing
Test a focused experience with representative cases, known limitations and agreed review points.
Deployment and enablement
Deploy the approved version, document its use, support training and clarify ongoing ownership.
When AI may not be necessary
A search filter, structured knowledge base, template, rules-based automation or better information architecture may be more reliable. Custom AI is considered only when it adds a useful capability that simpler options may not provide.
Is this suitable?
For a defined use case with usable information
This may suit a business with a specific, repeatable use case, a responsible owner and source material that can be reviewed. Suitability will depend on data quality, access controls, user expectations and the cost of maintaining the tool.
AI output may need human review
Where an answer, extraction or draft can affect a customer, payment or operational decision, the workflow should make checking and escalation straightforward.
FatedX implementation process
Prototype the smallest useful version first
Discovery
Define the use case, user and desired outcome.
Assessment
Review source material, access and risk.
Prototype
Test the focused interaction and its limits.
Implementation
Deploy the approved tool and its workflow.
Improvement
Review usage and refine where appropriate.
Frequently asked questions
About custom AI solutions
How do we know if custom AI is justified?
Start with the business question and compare simpler options. Custom work may be justified when a specific capability, data boundary or workflow fit cannot be addressed reliably another way.
Can the tool use our internal documents?
Possibly, subject to document quality, access permissions, privacy needs and the technical approach. These details should be reviewed before implementation.
Can the project qualify for government support?
Some qualifying projects may be eligible for Enterprise Singapore support. Eligibility, qualifying costs and approval depend on Enterprise Singapore; no funding outcome can be guaranteed.
Start with a specific use case
Explore whether a focused AI tool may fit.
WhatsApp the question your team repeatedly handles and the information they use to handle it.
Discuss a custom AI solutionExplore the other services