Operational AI
Coordinate requests, knowledge, workflow, approvals and application actions.


Agentic Force Solutions helps SMEs and enterprise teams in Singapore and Malaysia automate business workflows, connect applications and build governed agentic AI systems.
From daily operations to AI applications and major technology change, we help resolve the gaps that cost people time and make progress difficult.
Requests sit in chat. People re-enter information, find the approver and chase the next update.
AI Agent Connects the request, evidence, approval and application update into one visible workflow.
Switching between applications to copy and re-enter information is tedious and time-consuming. Each extra entry creates another chance for a mistake.
Let an AI Agent carry validated data into approved, connected applications—reducing repeated data entry while keeping updates visible.
An AI answer or automated signal is easy to produce. Knowing why it acted, when to stop and what happened is harder.
Build evidence, permissions, risk checks and outcome tracking around the AI decision.
The model, agent and tools work separately. Getting them into a reliable application still takes engineering.
Design the Agentic AI system, connect the tools and prove the complete experience in a controlled pilot.
Too many systems, teams and technology choices make the next investment or delivery decision unclear.
Clarify the target architecture, priorities and delivery responsibilities so the work can move.
We begin with the operating reality, assign the right role to AI, preserve human authority and integrate with the systems that already hold the truth.
Coordinate requests, knowledge, workflow, approvals and application actions.
Combine model judgement with deterministic controls, evidence and measurable outcomes.
Shape architecture, banking technology, strategy and complex transformation.
Engage us to design, prove and deploy operational AI—or for a defined enterprise technology mandate. We shape the work around your people, controls and chosen technology.
Decide what is worth transforming.
Map one real workflow, quantify its friction and define how people, AI, policy and existing applications should work together.
What you receiveCurrent and target workflow · responsibility and authority model · solution architecture · value and risk assessment · pilot plan
DecisionProceed, revise or stop with an implementable decision.
Prove the operating model in working software.
Engineer one bounded workflow with selected knowledge, workflow state, approvals and application integrations, then test normal, exception and recovery paths.
What you receiveWorking proof of concept or pilot · integrations · evaluation scenarios · operational evidence · production-readiness recommendation
DecisionConfirm whether the workflow creates enough value and control to deploy.
Put proven capability into controlled operation.
Harden a successful pilot for the customer’s security, operating support and change environment, then expand only across proven adjacent work.
What you receiveProduction architecture · security and access controls · monitoring and recovery · support model · rollout and adoption plan
DecisionOperate, measure and expand within an agreed boundary.
Independent engagements, or support alongside AI delivery.
Target architecture, solution governance, integration, cloud, data and application modernisation.
Capability assessment, target-state roadmap, investment priorities and delivery sequencing.
Product, programme and delivery leadership for complex banking and enterprise change.
Core banking, lending, cards, acquiring, collections, data platforms and cloud modernisation.
Use or adapt proven Agentic Force OS patterns and components where they accelerate a bounded engagement.
Design and engineer the operating layer around the client’s applications, controls and preferred technology stack.
Use suitable approved AI models, workflow products, automation tools and integration platforms rather than forcing one stack.
Explore some of our projects, from governed operations to AI decisions, agent platforms and an AI-personalised mobile experience.
Conversation, governed workflow and enterprise applications—connected around one request.
Explore the work
Sura owns the configured process and coordinates people, AI and applications from request to recorded outcome.
Explore the work
AI traders, supervised bots and independent strategy sleeves, with risk and broker controls.
Explore the work
Agent platforms, selected models and approved tools, connected with operating controls.
Explore the workFun, fast swiping with personalised on-device AI Picks. You choose what stays and goes.
Visit the product
Chee Wooi Lim brings more than 20 years of experience across banking, enterprise technology and transformation, alongside hands-on AI engineering. His aspiration is to help organisations build a more connected, intelligent workplace—where AI agents work alongside people, draw on trusted knowledge and coordinate work across enterprise systems. Efficiency comes from improving how the organisation operates as a whole: reducing friction, strengthening decisions and enabling teams to respond with greater clarity and confidence.
This vision places architecture at the heart of AI adoption. People, agents, information and applications should work together within a coherent design, with governance, security and human authority built in from the outset. The architecture should remain flexible as technology and business needs evolve, allowing organisations to introduce new capabilities without losing control or continuity. The ambition is a workplace where AI expands what people can achieve, creates capacity for higher-value work and supports lasting organisational improvement.

Tell us what is slowing the work down, what you want to change and which people or systems are involved. We can discuss a Blueprint, a pilot, an implementation or a defined enterprise technology mandate.