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Kiantara Group Consulting · AI & Data

From AI ambition
to decisions that ship.

AI strategy, data engineering and governance for leadership teams in emerging markets. We start from the business question, build what the answer needs, and train your people to run it.

Practice areas: strategy, data, governance, training
4
Clients across the Kiantara Group
300+
27001 certified information security
ISO
Team from research question to deployed model
1

Capabilities

AI that pays back. Data you can trust.

Most AI programs stall between the pilot and the P&L. We tie each use case to a business case, build the data foundation it needs, and put guardrails around it before it scales.

  1. AI Strategy & Machine Learning

    Use cases, models and roadmaps

    Talk to the AI team

    Best when you need to

    Find the AI use cases worth funding, then build the first one.

    • AI opportunity assessment and value sizing
    • Use-case prioritisation and a 12–24 month roadmap
    • Predictive models, NLP and GenAI prototypes
    • MLOps handover to your in-house team
    • ML
    • NLP
    • GenAI
    • Forecasting
    • MLOps
  2. Data Engineering & Analytics

    Pipelines, dashboards and BI

    See data projects

    Best when you need to

    Put one trusted version of the numbers in front of leadership.

    • Data audit and architecture design
    • Pipelines and a warehouse on your own cloud
    • Executive dashboards and KPI frameworks
    • Advanced analytics on sales and survey data
    • ETL
    • Warehouse
    • Power BI
    • Looker
    • Python
  3. AI Governance & Capability

    Policy, risk and upskilling

    Plan a training program

    Best when you need to

    Scale AI safely, and give your people the skills to run it.

    • Responsible AI policy and risk framework
    • Readiness for data-protection regulation
    • Executive and board AI briefings
    • Hands-on training for business and tech teams
    • AI policy
    • PDP law
    • Risk
    • Workshops
    • Bootcamps

AI value framework

Four tests every AI idea has to pass.

We score each candidate use case on the same four dimensions, with evidence from your data, your people and your market. Only the ideas that clear all four go to build.

  1. Test 01

    Value

    What is it worth if it works? We size the revenue, cost or risk impact with finance, not with the vendor’s demo.

    Evidence we use

    P&L baselines, process timings, market sizing

  2. Test 02

    Feasibility

    Can it be built and adopted here? We check skills, systems and whether the people who must use it actually want it.

    Evidence we use

    Tech review, user interviews by Pinnacle

  3. Test 03

    Data readiness

    Is the data there, clean and allowed to be used? Most stalled pilots fail here, so we test it before anything is built.

    Evidence we use

    Data audit, lineage map, consent review

  4. Test 04

    Risk

    What happens when it is wrong? We rate harm to customers, compliance exposure and reputational risk, and set guardrails.

    Evidence we use

    Risk register, PDP law check, red-team tests

How scoring works

  1. 1Score each idea 1–5 on all four tests, with evidence
  2. 2Shortlist ideas that score 3 or more on every test
  3. 3Rank the shortlist by value to set the roadmap

Testimonials

In our clients' own words.

Kiantara Group brings the expertise and strategic insight, particularly in the rapidly evolving sectors of AI technology and governance.

Dion N.P.ASEAN Cross-Technology Marketing Manager, IBM
  • “Rio Kiantara’s and Associates has been helpful, prompt and always provide their best in supporting our needs.”

    F. RifkiExecutive Director, ASEAN BAC · Managing Partner, FLG
  • “The market intelligence collected and recommendations produced were relevant, high-quality, and aligned with our goals.”

    EvelynProgram Manager, TechnoServe
  • “Our collaboration on executive workshops, research, and strategic discussions has consistently been insightful and impactful.”

    Senior ManagerFranklin Covey Group

Consulting case studies

From pilot to production.

How institutions have used our AI, data and governance work to turn evidence into decisions.

  • Consulting · AI & Data

    100+

    member banks reached by the Data & AI Readiness survey

    Banking · Indonesia

    A responsible-AI baseline for Indonesia’s banks

    A readiness survey, an executive FGD and a governance playbook that gave Indonesian banking its first industry-wide AI governance baseline.

    Read case study
  • KORA² platform

    ≈37.7K

    target respondents across two respondent streams

    Government · Tourism · Indonesia and 15 source countries

    A national tourism survey, coherent at scale

    Multilingual collection, live quota supervision and analyst-ready outputs for a survey spanning 15 source countries and all 38 provinces.

    Read case study
  • Market research

    180

    stakeholders in focus groups across six countries

    Technology and policy · Six ASEAN countries

    AI ethics and adoption, read across six ASEAN markets

    Multi-country FGDs with AI professionals, government officials and educators, 30 per country, with 80% of participants at manager level or above.

    Read case study

Contact

Tell us what you need to decide.

A market to enter, a brand to measure, capital to raise. Describe it in a few lines and we'll come back with the research design and timeline it would actually take.

Head office
Menara Sun Life Lt. 28, Kuningan, Jakarta Selatan 12950
Offices
Jakarta · Kuala Lumpur · Yokohama · Singapore · Baguio

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