SET / AI STRATEGY
An AI roadmap for the exchange
We developed an AI roadmap for the Stock Exchange of Thailand, helping connect institutional priorities with the capabilities and systems needed to pursue them.
SMC / DIRECTION
AI and data strategy. Ready to execute.
Solve business problems, strengthen your data foundations and find where AI can create real value. We combine strategic thinking with hands-on engineering to turn emerging technology into a plan your organization can deliver.
Strategy for institutions that matter
NATIONAL CREDIT BUREAU / DIGITAL STRATEGY
A digital transformation strategy for NCB
We developed a digital transformation strategy for the National Credit Bureau, bringing a business perspective to choices about data and technology.
What you get
A strategy your team can put to work.
Prioritised opportunities
Which AI and analytics projects matter most, their business case, and what to pursue or defer.
A data action plan
The data, access, quality and ownership gaps to resolve so the strategy can work.
A delivery roadmap
A sequence of initiatives with owners, dependencies, investment assumptions and measures of success.
See the choices clearly
Where should you start?
Explore a sample portfolio of AI and Big Data opportunities. Select an idea to see the business value, what it needs and our recommendation.
Business impact ↑Higher
Harder to deliverFeasibility →Easier to deliver
Start with a pilotPrepare the foundationsRevisit later
Generative AI
Credit memo drafting
- Business impact
- High
- Feasibility
- High with reviewed sources
Give analysts a first draft assembled from approved documents, with sources they can check.
SMC recommendation
Pilot one report type with analysts.
Confirm document access, citation quality and analyst review. People retain the lending decision.
Generative AI
Internal knowledge search
- Business impact
- Medium to high
- Feasibility
- High for a focused collection
Help teams find reliable answers across policies, manuals and internal research.
SMC recommendation
Start with one team and a trusted document collection.
Organise versions, access rules and source ownership before widening coverage.
Machine learning
Demand forecasting
- Business impact
- Medium to high
- Feasibility
- Depends on historical data
Improve stock and capacity planning by estimating demand at a useful level of detail.
SMC recommendation
Prepare a reliable history, then test against today's forecast.
Resolve missing sales, stock-outs and promotion data. Judge value by better planning decisions.
Big data & geoanalytics
Branch network planning
- Business impact
- High
- Feasibility
- Requires integrated data
Compare location choices using demand, customer behaviour, service coverage and operating costs.
SMC recommendation
Build the shared data foundation before scaling the model.
Agree location definitions and economics, connect the sources, and validate recommendations with the business.
Analytics & automation
Management reporting
- Business impact
- Moderate
- Feasibility
- High for repeatable inputs
Reduce repetitive assembly so teams can spend more time explaining what changed and why.
SMC recommendation
Deliver a focused early win alongside the larger roadmap.
Check source consistency and review the narrative before distribution.
Agentic AI
Autonomous approvals
- Business impact
- Unproven after risk and cost
- Feasibility
- Low in this scenario
Full automation may look attractive, but errors and exception handling can outweigh the benefit.
SMC recommendation
Keep approval with people. Prove assisted work first.
Revisit only after decision rights, auditability and performance on exceptions are established.
Illustrative opportunity map. Priorities depend on your business, data and operating constraints.
Business judgment. Engineering depth.
Ambitious about technology. Practical about delivery.
We bring business leaders, technology teams and the people doing the work into the same conversation. Our experience building data platforms and AI systems helps us test what a strategy will take to deliver.
- Find the business valueRevenue, cost, service quality or a problem that holds the business back.
- Test what is possibleExamine the data and workflow. Test important technical assumptions before committing.
- Make the next move concreteAgree what to build, what to fix first, who owns it and how to measure progress.
A useful first conversation
Discuss your AI and data strategy
Tell us the business problem, your ambition and what is getting in the way. We will work with you to find a practical starting point.