Requests wait in inboxes and chat
Ownership is unclear and acknowledgement depends on who notices first.
Operational AI Solutions
Your systems work. Your people still carry the process between them.
We help to redesign the manual reading, rekeying, routing, follow-up-chasing, checking and reconciliation that consume your team’s time. Let AI coordinates the work while your controls, applications and accountable people remain in charge.
Grow your output—not your operational overhead.
Operational AI coordinates the work
People request workAI interprets and coordinatesAuthority appliesApplications execute and record
01 · The operating problem
The expensive work is often the manual work no application owns.
Each manual step looks small. Together, they constrain capacity, slow service and make control dependent on messages, memory and key individuals.
The opportunity is not another system of record. It is the coordination work between requests, policies, people and existing systems.
Where the work breaks
People become the integration layer.Work enters
EmailChatFormsDocuments
Requests arrive without one owner or shared work state
Manual coordination layerYour team carries the process
- Read
- Rekey
- Route
- Chase
- Check
- Reconcile
Context and evidence are reconstructed at every hand-off
Systems remain separate
CRMERPHRFinanceData
Business impactDelayReworkHidden capacity costControl risk
Information is entered more than once
People carry the same facts between forms, documents and applications.
Approvals wait for missing evidence
Decision-makers receive incomplete work and teams repeatedly follow up.
The process lives in experienced people
Procedure, context and exception handling are difficult to scale.
Exceptions become visible too late
Managers reconstruct status after service, cost or control has already suffered.
Diagnostic question
If the applications are capable, why must people still recommunicate, reconstruct, move and prove the work between them?
02 · The operating principle
AI coordinates and execute the work—without becoming the authority.
Enterprise applications remain essential. They provide structure, security, transaction integrity, auditability and systems of record. AI strengthens that foundation rather than replacing it.
Your systems hold the truth. AI gets the work moving.
AI
Interprets and orchestrates
Understands requests, assembles approved context and coordinates the next permitted step.
POLICY
Authorises
Applies business rules, permissions, thresholds and approval paths.
APPLICATIONS
Execute and record
Validate and commit authorised actions in the systems of record.
PEOPLE
Remain accountable
Set objectives, approve material decisions and resolve exceptions.
Accountability model
AI moves the work. Authority remains explicit.
- 01People
Set intent and resolve exceptions
- 02Operational AI
Interpret and coordinate
- 03Policy
Authorise actions and approvals
- 04Applications
Execute and preserve the record
03 · How Operational AI works
A governed operating layer turns requests into controlled, recorded work.
Agentic Force designs the operating role around the AI: what it must understand, which context it may use, which procedure it follows, what authority applies and how approved applications are accessed. The result is operational participation—not merely an AI-generated response.
Controlled operating flow
A request becomes an accountable operating case.
- 01Request
Identify the person and outcome
- 02Context
Assemble trusted facts
- 03Procedure
Follow workflow and work state
- 04Authority
Apply policy and approval
- 05Outcome
Execute, record and communicate
Designed and engineered for the customer’s operating boundary
Each pilot confirms the workflow, integrations, authority rules, acceptance criteria and evidence required before the AI participates in real work.
04 · Solution brief
Close the operational gap your applications leave behind.
Most organisations already have capable applications. The gap is the work people perform between them: interpreting a request, finding context, deciding the next step, securing authority, updating systems and communicating the outcome.
Operational AI does not replace the applications. It gives the work between them an operating layer.
Requests
Employees · Customers · Partners · Operations
email · chat · forms · documents
Operational AI
Understand the requestAssemble contextFollow workflowCoordinate action
policy · permissions · approval · evidence
Applications
CRM · ERP · HR · Finance · Banking · Documents · Data
Recorded outcomeCompleted work, visible status or a controlled exception returned to an accountable person.
Working reference implementation
Suri demonstrates how conversational requests can become governed work.
Suri is Agentic Force Solutions’ working AI Operating System reference implementation. Employees, customers and operating teams can start with a conversation; Suri then brings together approved knowledge, workflow, human authority and enterprise applications to move the request toward a controlled, recorded outcome.
It demonstrates the engineering approach. It is not presented as a standard off-the-shelf product for every organisation.
01 · PeopleAsk in natural language
Employee · customer · operations
02 · SuriUnderstand and coordinate
Context · workflow · authority · tools
03 · ApplicationsExecute and record
CRM · ERP · HR · finance · data
How the reference works
From conversation to governed execution.
Suri identifies the user and role, retrieves approved knowledge and current context, remembers case state, follows defined workflow, coordinates approvals and uses approved integrations. Exceptions return to people with their context and evidence intact.
The customer solution is designed around its own work, controls, systems and deployment boundary.
01Identity & roles
Recognises who is asking, their responsibilities and permitted operating scope.
02Knowledge & context
Retrieves approved policies, procedures, business facts and the current work state.
03Memory & continuity
Persists relevant user and case context so work can continue across conversations and hand-offs.
04Workflow & state
Follows defined procedures, tracks progress and routes normal work, approvals and exceptions.
05Authority & guardrails
Applies rules, permissions, thresholds, acceptance criteria and named human decisions.
06Tools & integration
Uses approved APIs, events and connectors to read or act through enterprise applications.
Enterprise foundationExisting applications preserve transaction integrity and remain the systems of record.
05 · Representative workflows
Twelve operational applications demonstrate the same controlled pattern.
Cross-functional service
One request. One visible work state. Multiple participants.
- 01Requester
Uses a familiar channel
- 02Operational AI
Owns context and coordinates hand-offs
- 03Departments
Review, approve or resolve exceptions
- 04Systems
Complete and record the transaction
People operations
Leave request
Employee request → policy and balance check → manager decision → HR record and notification
Expense operations
Receipt claim
Receipt and purpose → fact extraction → policy check → approval and reimbursement status
Customer operations
Customer issue
Customer message → approved context → owned case → cross-department answer and timeline
Finance operations
Invoice to payment
Billing request → validated invoice → customer delivery → payment matching and evidence
People operations
Add employee
Owner or HR request → required facts → employee record → authorised setup and recorded identity
Sales operations
Quote approval
Customer and products → commercial facts → authority check → approved customer delivery
Payroll operations
Payroll run
Payroll inputs → reviewable run → second approval → payslips and controlled bank file
Statutory operations
Statutory filing
Approved payroll facts → authority-specific file → submission status → retained receipt and audit evidence
Finance operations
Supplier payment
Vendor bill → policy and approval → controlled payment file → bank confirmation and record
Finance operations
Bank reconciliation
Statement activity → likely matches → exception review → confirmed period close
Compliance operations
Expiring document
Registered expiry → scheduled risk scan → employee or HR reminder → updated record and visible exception
Care operations
Benefit question
Employee or agent question → identity and authority → current People projection → grounded answer or HR exception
06 · Services
Take one workflow from operational problem to controlled operation.
Clients can engage Agentic Force at one of three defined stages.
Each stage produces a usable decision or working deliverable. A customer does not need to commit to deployment before the Blueprint and pilot evidence justify it.
01
Operational AI BlueprintDecide what is worth transforming.
02
Controlled Workflow PilotProve the operating model in working software.
03
Agentic Operations DeploymentPut proven capability into controlled operation.
Stage 01
Operational AI Blueprint
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.
Stage 02
Controlled Workflow Pilot
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.
Stage 03
Agentic Operations Deployment
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.
Technology route
The engagement does not force one product or model.
The route is selected around the client’s ownership, security, architecture and time-to-evidence requirements.
Secondary services
Enterprise technology leadership for a defined mandate.
Available independently when the immediate need is architecture, strategy or transformation rather than an Operational AI engagement.
Enterprise and Solution Architecture
Target architecture, solution governance, integration, cloud, data and application modernisation.
Technology Strategy
Capability assessment, target-state roadmap, investment priorities and delivery sequencing.
Transformation Leadership
Product, programme and delivery leadership for complex banking and enterprise change.
Banking Technology
Core banking, lending, cards, acquiring, collections, data platforms and cloud modernisation.
Commercial model · all servicesTime-and-materials or bounded subcontract engagementDiscuss an engagement
07 · Why Agentic Force
Experience that bridges AI ambition and operational delivery.
Experience converted into client value
Three perspectives shape one practical delivery approach.
Architecture, product, controls and complex delivery
Customers, suppliers, projects and daily execution
Context, workflow, tools, evaluation and recovery
Combined valueSolutions that respect operating reality and enterprise discipline.
The founder, Chee Wooi Lim, brings more than 20 years across banking platforms, product development, enterprise architecture and complex transformation.
The work spans transaction integrity, workflows, approvals, reconciliation, systems of record and regional delivery. Direct business-operating experience added a practical view of how customers, suppliers and projects are coordinated when software does not cover the complete journey.
Current hands-on R&D—including Suri as an Agentic Force OS reference implementation and AI-Augmented Trading Execution—turns that experience into an engineering approach for controlled AI participation.
View Chee Wooi on LinkedIn08 · Engineering & R&D
Built through engineering—not presentation claims.
Operational AI reference implementation
Suri demonstrates how governed context, roles, workflow, approved tools, human authority, evidence, monitoring and recovery can work together.
AI-Augmented Trading Execution
Engineering proof of controlled, consequential automation—not investment advice or a performance guarantee.
Engineering evidence
Dependable operational participation requires a complete stack.
Channels, conversations, notifications and visible work queues
Roles, approved context, user continuity and current case state
Procedures, approvals, evidence, monitoring and exception routes
Approved APIs and systems that validate, execute and record
09 · Start with one workflow
Where is your team still carrying the work between systems?
Describe one process where people still read, rekey, route, chase, check or reconcile. We will determine whether to start with a Blueprint, a controlled pilot, a deployment mandate or a different form of automation.
A useful first conversation
01The workflow
Where the request begins and the outcome expected.
02The friction
What people repeatedly read, rekey, route, chase or reconcile.
03The boundary
Which people, policies and applications must remain in control.