CUSTOM AI DEVELOPMENT
Custom AI Development Singapore
ADSM develops custom AI software for Singapore SMEs: internal tools, document workflows and system integrations, starting with a scoped proof of concept.
When a standard SaaS product cannot fit your process, ADSM can develop a custom AI application around the way your team works. The solution may combine an AI model with conventional software, a database, approval screens and integrations. Not every part of the system needs AI.
BUSINESS PROBLEM
Your workflow does not fit a standard subscription tool.
A tool may answer questions well but still leave staff moving data between systems, checking product matches and correcting outputs. The missing part is often the surrounding business application.
01
Special business rules
Customer pricing, approval limits and product exceptions do not fit a generic prompt or template.
02
Manual connections
Staff re-enter the same information in email, spreadsheets, customer portals and internal systems.
03
Unclear return on effort
A broad AI project is difficult to evaluate when nobody has defined the task, baseline or acceptance criteria.
SOLUTION OVERVIEW
Build the application around the business process.
We review what should be automated, what should follow a fixed rule and what needs human judgement. A small initial version gives your team something concrete to test before a larger commitment.
01
Choose where AI adds value
AI can assist with extracting unstructured information, searching business knowledge or suggesting a product match. Use conventional software for exact calculations, permission checks and deterministic workflow rules.
02
Develop the surrounding system
An internal portal or customer application can bring inputs, suggestions, approvals and task ownership together. The workflow needs usable screens and clear error states, not just an AI response.
03
Integrate and evaluate
Connect the agreed CRM, ERP, database or API, then test the complete process. Measure staff time, corrections and exceptions alongside model output quality.
SCOPE & USE CASES
What the workflow can include.
The final scope depends on your data, existing systems and the controls needed by your team.
01
Internal assistants
Provide staff with answers based on approved documents and permitted system records, with a route to verify the source.
02
Document applications
Extract and review information from PDFs, spreadsheets or forms before it enters another system.
03
Product matching
Suggest matches between customer descriptions and a product database, exposing uncertainty rather than inventing an exact fit.
04
Quotation workflows
Prepare quotation drafts with product and pricing checks, while keeping final approval with the sales team.
05
Customer and staff portals
Build a place to submit requests, review AI output and track the next step alongside existing business rules.
06
API and workflow development
Connect AI processing with established software, validation, audit records and operational support.
IMPLEMENTATION
Start with a focused pilot.
Agree the task, acceptance criteria and review responsibilities before expanding.
01
Scope the problem
Review the current process, sample inputs and expected output. Identify the parts that do not require AI.
02
Build a proof of concept
Test the uncertain technical assumptions with limited data and a narrow workflow before building the full application.
03
Develop the MVP
Add the essential screens, data model, integrations and review controls needed by the first users.
04
Pilot and maintain
Review real usage and failure cases, then plan support, usage monitoring and any additional workflows.
FAQ
Questions before starting.
Practical considerations for scoping the first version.
Should we choose custom development or an existing product?
An existing product may be more suitable for a standard workflow. Custom development makes sense when important business rules, integrations or user journeys cannot be handled adequately by the available tools.
Does the entire application have to use AI?
No. AI should be used where it helps with unstructured information or suggestions. Calculations, access control, approvals and reliable record updates often use conventional software.
Can we start with an AI POC or MVP?
Yes. A proof of concept tests feasibility; an MVP adds the essential application features for an initial group of users. The scope and acceptance criteria are agreed before work starts.
What affects development cost?
Data preparation, application screens, integration complexity, model usage, testing and support all affect cost. Ask for setup, recurring usage and maintenance to be separated in the proposal.
Can you connect the application to our current systems?
We assess the available APIs, databases or import/export interfaces and the permissions needed. Integration feasibility should be checked early rather than assumed.
How do we judge whether the pilot is useful?
Compare processing time, staff corrections, unresolved exceptions and usability with the current process. An attractive demo is not enough if the complete workflow does not help the team.
RELATED SERVICES
Connect the next part of the workflow.
Explore the AI Solutions hub for the wider service range.
Business AI agents | System integration | RFQ and quotation workflows | Web application development
DISCUSS YOUR WORKFLOW
Discuss your custom AI project
Send us a non-sensitive example of the current process and the result your team needs. We can discuss suitability, scope and a practical next step.