Design and integrate AI for a specific business process
MTC takes a company-specific AI requirement from process discovery and data preparation through prototyping, system integration, go-live and support. The work can connect SAP and other systems used by the Singapore operation and head office.
Applied AI implementation
MTC takes a defined requirement through discovery, user validation, integration and supported release.
- Discovery: map the current process, define the intended result and assess whether the available data can support it.
- Prototype and integration: test relevant cases with users and connect the approved capability with SAP and other business systems.
- Go live and support: train users, confirm acceptance and establish support for exceptions and future changes.
Integration with group systems and security standards
MTC combines local process requirements with the group’s technology, identity, data and architecture standards.
- Singapore users document the local process, exceptions, data and result expected from the solution.
- Head-office teams provide the platform, identity, data, integration and architecture requirements that apply across the group.
- MTC consolidates both sets of inputs in the process map, interface list, test pack, decision log and go-live plan.
Applied AI Services FAQ
How do Applied AI Services differ from a packaged product?
A packaged product provides repeatable capabilities for a known use case. Applied AI Services address company-specific processes or system combinations through discovery, data work, solution configuration or development, integration and support.
What does MTC provide during an Applied AI project?
Depending on scope, MTC documents the process, data, interfaces, user roles and permitted actions, then provides prototype and test results, the go-live procedure and support handover.
How does MTC move a successful prototype into production?
MTC records the remaining data, integration, user-access, support and change work, then prepares the go-live scope. The project team reviews representative test results and open issues before scheduling rollout.
What information is needed for discovery?
Provide the current process, monthly volume, users, source systems, sample data, expected actions, common exceptions, current performance and business owner.
Assess a specific AI opportunity
Submit the process, monthly volume, systems, sample data and expected result. MTC will identify the discovery work and recommend the next step.
Request an AI solution review