Plug-and-play AI configured to how your organisation runs — or built from scratch, end to end. Governed. Accountable. Deployed with the human architecture to make it last.
Best-in-class AI tools — from Microsoft, SAP, Atlassian, Oracle, and the leading foundation model providers — selected, configured, and embedded into how your organisation actually operates. Not generic. Not off-the-shelf. Yours.
For organisations with problems that no existing product solves. We design, architect, and build AI systems that are uniquely yours — from the data layer through to the decision layer — with full governance and accountability built into the architecture from day one.
We map your operations, data architecture, current systems, governance obligations, and the specific problem you need AI to solve. No assumptions. No pre-sold solutions.
Track 01 or Track 02 — or both. We design the AI architecture, select the stack, define the governance layer, and present the full proposal before any build begins.
Track 01: configuration, integration, and embedding. Track 02: custom development, testing, and iterative deployment. Human adoption architecture runs in parallel.
Live deployment with board-level governance documentation, accountability framework, and full team training. You own everything. We support you for 90 days post-launch.
Not technology for its own sake. AI deployed against the specific operational gaps and decision bottlenecks that are costing your organisation time, money, and competitive advantage.
AI without governance is exposure. Every Mahat AI Solutions deployment includes a full governance architecture — because when a regulator, a court, or a board asks what the AI did and why, you will be able to answer.
Discuss Governance Requirements →Tell us what you are trying to solve. We will tell you which track, what stack, and what it takes to deploy it with full governance and accountability. No obligation. No pitch deck.
Track 01 uses existing market-leading platforms — Microsoft Copilot, SAP Business AI, OpenAI, Anthropic Claude — configured specifically to your workflows, data, and governance requirements. Track 02 is designed and built from scratch for organisations with unique requirements no existing product addresses. Both tracks include full governance architecture and board-level accountability documentation.
Every deployment includes a board-level AI governance framework meeting Malaysia's National AI Roadmap 2.0 and NAIO standards, Singapore's 2026 IMDA agentic AI framework, and PDPA data sovereignty obligations. All AI decisions are logged with full audit trails and explainability documentation at the standard a regulator or court would require.
Microsoft Azure AI and Copilot, OpenAI, Anthropic Claude, SAP Business AI, Google Vertex AI, AWS Bedrock, and Atlassian AI. Platform selection is based on diagnostic assessment of your specific requirements — not vendor relationships.
Track 01 typically deploys within 8 to 16 weeks depending on integration complexity. Track 02 timelines are determined by the diagnostic and design phase and agreed before build begins. All deployments include a 90-day post-launch support period.
Malaysia, Singapore, Indonesia, Vietnam, Philippines, Thailand, Brunei, Australia and New Zealand, and the GCC. All deployments are ASEAN-native — not global templates adapted for the region.