Frequently Asked Questions

Can We Start If Our Data Is Not Ready?

Yes. Start with one business question and review the data needed to answer it. The first scope may be a readiness assessment or data preparation work rather than an AI build.

Do We Need to Prepare All Company Data First?

No. Our CBA approach prepares the sources, definitions, ownership, rules, permissions, quality, and freshness needed for the selected use case. The foundation can expand as the work progresses.

What Is Organization AI?

Organization AI connects AI with your organization’s own data, knowledge, business definitions, and workflows. The design includes who may access information, which actions require review, and how the results will be evaluated.

Can You Work with Our Existing Systems?

We begin by reviewing your spreadsheets, databases, and business systems. Connection options depend on available exports or APIs, access permissions, licensing, and data quality. Feasibility is confirmed during scoping.

Do You Serve Organizations Outside Bangkok?

Yes. Data Story serves organizations across Thailand. The working arrangement and any location-specific requirements are discussed when defining the project.

What Should We Prepare for the First Conversation?

Bring a short description of the problem, the decision or task you want to improve, the systems you use, and the intended users. Do not send confidential datasets or credentials in the first message.

How Are Fees and Timelines Determined?

They depend on the scope, data readiness, integration requirements, and agreed deliverables. The proposal defines fees, milestones, and timeline before implementation.

What Happens After Delivery?

Handover, training, maintenance, and ongoing support should be defined in the agreed scope. Discuss the level of support your team needs during the first conversation so it can be included in the proposal.

How Are Data Access and AI Actions Managed?

Define permitted sources and users, the person responsible for decisions, and actions requiring approval. Data handling and deployment requirements are reviewed as part of scoping.