Digital, AI & Data Strategy

Digital, AI and data strategy that starts from the business

We help leadership decide which digital, data and AI investments come first, based on business value and readiness, then set the roadmap, the rules for data and AI, and the system requirements. We are not tied to any vendor.

Talk to us about digital and AI See the questions we answer

Illustration: prioritizing data and AI use cases

12: Use cases assessed
3: Started in the first 90 days
3: Roadmap phases

Illustrative data

Digital, AI and data strategy decides which business problems an organization will solve with technology, data and AI, in what order, and what people, processes, data and rules it needs so the investment produces measurable results. It starts from the problem, not the tool.

Read the full summary

NXT Consulting Group advises private companies and public agencies in Thailand on digital, AI and data strategy. The work covers AI and data readiness assessments, finding and prioritizing use cases by business value and data readiness, data strategy and data governance, digital product strategy, AI usage policy, and digital action plans or one-to-three-year roadmaps with system requirements for procurement. We do not sell software or build systems, so the advice is not tied to any vendor. Before NXT, our team prepared a five-year digital action plan, a readiness roadmap toward a Consumer Data Hub and a digital workforce plan for public agencies; under the NXT name we prepared a five-year strategic plan for the Electronic Transactions Development Agency (ETDA) and ran user research to develop a job platform.

Vendor-neutral: We do not sell software, licences or system builds
5 areas: Readiness: people, process, data, technology and governance
1–3 years: Horizon of a digital and data roadmap
Public + private: Government digital action plans and company strategy

Signs it is time

When to set a digital and AI strategy

Leadership wants to use AI but is not sure where to start
Systems are in place, but data is scattered and not used for decisions
Staff already use AI on their own, with no company rules
A new system must be procured, and the requirements are not yet clear

Questions we answer

Digital, data and AI questions, and how we answer them

We start from the decision leadership has to make, then look at which technology and data can help, and say plainly when a problem does not need AI yet.

Where should we use AI and data first?

Methods

Use case discovery
Prioritization
Business case

You getUse cases ranked by business value and data readiness, with the ones to start first

How ready is the organization for AI?

Methods

AI readiness
Capability assessment

You getReadiness scores for people, process, data, technology and governance, with the gaps to close

Is the data we hold usable?

Methods

Data audit
Data strategy
Data governance

You getA map of data sources, quality, owners and the rules for sharing data

What should our digital product or service be?

Methods

Digital product strategy
User research
Business model

You getTarget users, the problem to solve, core features and a revenue model, checked with real users

How should we invest in digital over 1–3 years?

Methods

Digital roadmap
Action plan
Requirements

You getA roadmap broken into projects, budgets and system requirements for procurement

What rules should govern AI use at work?

Methods

AI policy
Data governance
PDPA

You getA policy on who may use AI for what, which data must never be entered, and who approves

How we work

How a digital strategy engagement runs

01 · Assess
Assess readiness
Interview leaders and users, review existing systems and data, and assess readiness in all five areas
02 · Prioritize
Prioritize the problems
Collect use cases across departments and rank them with leadership by business value, data readiness and risk
03 · Roadmap
Build the roadmap
Turn the chosen use cases into projects, budgets, timelines and KPIs, with rules for data and AI
04 · Enable
Prepare to deliver
Write vendor-neutral system requirements, help assess vendor proposals, and set how the pilot will be measured

What you receive

What we deliver

The format depends on the question. The previews below are mock-ups of the formats, not client work.

Mock-up

AI and data readiness report

Scores by area, the gaps, and what to do before investing

Mock-up

1–3 year digital roadmap

Projects, budgets, timelines and owners

Mock-up

Digital product strategy

Users, problems, core features and the revenue model

Mock-up

AI and data usage policy

Rules staff can read and apply straight away

Our work

Digital and product work NXT has delivered

Examples of NXT's own engagements involving digital services, users and new products.

Strategy · Impact Evaluation

5-year strategic plan plus performance and economic impact evaluation

Electronic Transactions Development Agency (ETDA)

A 5-year strategic plan backed by performance and economic impact evidence.

User Research · Product

User behavior research and solution development for a job platform

SEEK (JobStreet | Jobsdb)

Delivered a deep view of user behavior, friction, and unmet needs for feature evaluation and prioritization.

Customer Research · Product Strategy

Customer research and go-to-market strategy for a new product

Faculties of Engineering & Medicine, Chulalongkorn University

A product direction and go-to-market plan grounded in real market evidence.

See all our work

FAQ

Questions before a digital and AI strategy project

Do we need a data or IT team first? No. Many organizations start by deciding where data and AI should be used first, then plan what team or partners they need, which avoids hiring or buying more than necessary.

Does NXT sell software or build systems? No. We do not sell software or licences and do not build systems, so the advice is not tied to any vendor. When a system must be procured, we help define the requirements and the criteria for assessing proposals, so vendors can be chosen fairly.

What does an AI readiness assessment cover? Five areas: people (skills and roles), process (which work suits AI), data (whether it exists, is good enough and can lawfully be used), technology (whether existing systems can connect) and governance (rules and accountability). The result is the set of gaps to close before investing.

How is a data strategy different from building dashboards? A dashboard is an end product. A data strategy decides which data the organization needs for which decisions, who owns it, how good it must be and under what rules it is shared. Once those are clear, dashboards and AI can actually be used.

Do you prepare digital action plans for government agencies? Yes. We prepare digital action plans and data plans linked to national-level plans, and help define system requirements for the terms of reference (TOR). Before NXT, our team prepared a five-year digital action plan and a data roadmap for public agencies.

How long does it take? A readiness assessment and use-case prioritization usually takes 4–8 weeks. An organization-wide digital strategy and roadmap usually takes 2–6 months, depending on size and the number of departments involved. Scope and fee are agreed before work begins.

Insights