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AI Wealth Indonesia 2026 Study

Indonesia Wealth Management
& AI Readiness Market Study 2026

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ABAPERDI

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Untuk anggota Asosiasi Pelaku Reksa Dana dan Investasi Indonesia. Memerlukan access code yang diberikan oleh tim IKON.

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Untuk peserta dari institusi keuangan, bank, atau manajer investasi di luar program ABAPERDI.

IKON
Strategic partner & reseller Comarch Wealth Management di Indonesia
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Platform wealth management global, aktif di 30+ negara termasuk Asia Tenggara
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ABAPERDI
Asosiasi Bank Agen Penjual Efek Reksadana Indonesia

Penilaian eksklusif ini diselenggarakan atas kerja sama IKON, Comarch, dan ABAPERDI untuk mengukur kesiapan industri investasi Indonesia dalam mengadopsi kecerdasan buatan. Silakan masukkan access code yang telah dikirimkan kepada Anda untuk melanjutkan.

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Selamat Datang, Member ABAPERDI

Indonesia Wealth Management & AI Readiness Market Study 2026

Penilaian ini dirancang khusus untuk anggota ABAPERDI dalam rangka mengukur kesiapan industri reksa dana dan investasi Indonesia dalam mengadopsi teknologi AI. Seluruh data diproses secara anonim dan hasil disajikan dalam bentuk agregat.

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Selamat Datang, Peserta Umum

Indonesia Wealth Management & AI Readiness Market Study 2026

Penilaian ini terbuka untuk peserta dari institusi keuangan, bank, atau manajer investasi di luar program ABAPERDI. Semua data diproses secara anonim dan hasilnya disajikan dalam bentuk agregat.

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Anonim
Jawaban tercatat tanpa nama atau identitas. Cocok untuk respons yang lebih terbuka dan jujur.
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Masukkan nama dan email untuk menerima hasil personal dan laporan benchmark lengkap.

Data Anda

Respons Anda bersifat rahasia dan hanya akan dibagikan kepada tim IKON × Comarch.

Format: 08xx atau +628xx (angka saja)
Opsional — angka saja
AI Wealth Indonesia 2026 Study

Indonesia Wealth Management
& AI Readiness Market Research

A structured diagnostic to assess attitudes, readiness, and ambitions regarding AI-enabled solutions in Indonesian wealth management — across front-office RM capabilities and back-office technology infrastructure. All responses are anonymized and results presented in aggregate only.

👋
Hello, ! You will answer 37 questions across 4 pillars. Estimated time: ±60 minutes.
37
Questions
4
Pillars
40'
Est. Time
1

AI-Enabled Front Office

Personal AI usage, RM workflow & strategic ambition — 12 questions

2

IT, Infrastructure & Agentic AI Readiness

Platform integration, data infrastructure, OJK compliance — 12 questions

3

AI Use Case Prioritization

Portfolio intelligence, compliance AI, KYC, agentic deployment — 7 questions

4

Leadership, Governance & Organizational Readiness

Executive alignment, talent strategy, governance maturity — 7 questions

Research Sources & References

All question statements are grounded in the following published research and vendor documentation.

Comarch2026
Wealth Management: Innovations & Roadmap 2026+
Agentic use cases (Portfolio Health Check, Portfolio Insights, Meeting Preparation Plan); Next-Best-Action Engine supporting daily engagement prioritization, retail-to-wealth migration targeting, and behaviour-based client segmentation.
EYMarch 2025
GenAI in Wealth & Asset Management Survey
100 WAM firms globally. 95% scaled GenAI; 78% exploring agentic AI; 7% in production. ~85% expect agentic integration within two years. Personalization at scale identified as top-3 AI priority for Asia-Pacific. Top barriers: data security and legacy system integration.
Deloitte2025–2026
Agentic AI Strategy — Technology Trends 2026
3,235 senior leaders, 24 countries. 35% of firms have no formal AI strategy. Only 1 in 5 has a mature AI governance model. 11% have agentic AI in active production.
Bain & Company2025
Building the Foundation for Agentic AI
Four agentic AI maturity levels. Prerequisites: API-enabled systems, real-time architecture, vector databases, MCP interoperability. Governance must be built in from inception.
Morgan Stanley2024–2025
AI @ Morgan Stanley — Debrief & Next Best Action
98% of wealth advisors using AI Debrief. Saves up to 30 min per client meeting. Access to 350,000+ proprietary research documents. Onboarding under 30 minutes.
Datos InsightsFeb 2026
Agentic AI: The Infrastructure Reality
40% run 4+ disconnected platforms. 80% deployed AI; only 33% deeply understand it. 50% measure AI through cost reduction only. Client migration from mass-affluent to wealth identified as highest-ROI AI application in emerging markets.
FPA2025
The Compliance Risks of Using Generative AI in Financial Planning
Generative AI introduces compliance, accuracy, and data privacy risks. Advisors remain fully accountable for AI-supported outputs. Effective use requires governance and human oversight.
OJKApril 2025
Tata Kelola Kecerdasan Artifisial Perbankan Indonesia
Indonesia's official AI governance framework for the banking sector, launched 29 April 2025. Five compliance pillars; three headline principles: accountability, human oversight, and reliability. Covers the full six-stage AI lifecycle. Directly applicable to all AI deployments in wealth management.
KPMG2025
Wealth Management Technology Outlook / SEA AI Outlook
AI personalization is a top-3 priority in Asia-Pacific. Indonesia's OJK framework and data localization requirements add a distinct complexity layer versus Singapore and Hong Kong.
PwC2025
Wealth Management 2025 — Managing a New Reality
~80% of investors want AI to assist, not replace, their advisor. Hybrid human-AI models preferred for HNW/UHNW. Client trust remains the primary currency of wealth management.

How will AI Fundamentally Reshape Wealth Management In Indonesia?

This section draws on the Comarch Wealth Management Innovations & Roadmap. Comarch is a global fintech provider and one of the leading wealth management platform vendors in Europe and Asia-Pacific, with active deployments across Southeast Asia.

The Core Thesis

AI is critical to support RM to become a strategic advisor.

Comarch's central argument is that AI in wealth management is not an incremental productivity improvement — it is a structural redefinition of the Relationship Manager (RM) role itself. The shift is from 'transactional executor' — processing instructions, producing reports, managing admin — to 'strategic advisor', spending most of the client time on relationships, planning, and high-value decisions.

The Three-Tiered AI Maturity Model

Level 1
Portfolio Summary & Insights
Automated, closed-scope generation. Produces a concise narrative snapshot of client portfolio performance and allocation. Replaces static reporting with AI-generated insights contextualized against market outlook.
Level 2
Meeting Prep & Relationship Briefing
Holistic, advisor-focused synthesis. Aggregates CRM history, risk profile, pending tasks, critical alerts, and growth opportunities into a single pre-meeting briefing — reducing manual preparation.
Level 3
Next-Best Actions & Proposal Communication
Suggests the most opportune and relevant next actions and supports personalized communication, helping RMs engage clients more proactively.
← INCREASING COMPLEXITY & VALUE →
The Critical Infrastructure Insight

Separating Logic from Narrative

AI agents in wealth management must not calculate financial outputs independently. A raw language model cannot reliably calculate Time-Weighted Returns, validate suitability against risk profiles, or run rebalancing scenarios. Instead, a domain-specific Wealth Logic Layer performs calculations and compliance checks while AI communicates validated results.

The Combined Value Proposition

Efficiency — automating manual search, meeting prep, and drafting. Accuracy — ensuring every insight, calculation, and proposal is mathematically sound and compliant. Experience — empowering RMs to move from admin to advisor, utilizing Next-Best-Actions. Scalability — extending the same logic engine to serve mass affluent clients digitally, without increasing headcount.

This study aims to assess where Indonesian wealth management institutions stand in terms of AI readiness, awareness, infrastructure maturity, and use case prioritisation. Participants will receive access to the anonymized benchmark report: Indonesia AI Wealth Management Readiness Index 2026. The report results will be presented at an upcoming ABAPERDI member event planned for June 2026 — showing where Indonesian wealth management institutions stand collectively on AI readiness, AI awareness, AI infrastructure maturity, and AI wealth use case prioritization. This report will be jointly published by Comarch and IKON in June 2026, shared with all participating institutions, as well as presented at an upcoming ABAPERDI member event planned for June 2026. Separately, IKON and Comarch offer dedicated AI readiness assessments and strategic roadmap sessions for institutions that wish to understand their own position in more depth. This is entirely outside the scope of this questionnaire and carries no obligation. If you are interested, you are welcome to reach out to IKON or Comarch after completing the questionnaire.

IKON & Comarch — Uniquely Positioned

IKON is the strategic partner and reseller for Comarch Wealth Management in Indonesia. With 24 years of deep Indonesian financial services expertise and established relationships across the banking sector, IKON brings the local market knowledge, deep understanding and experience with OJK/BI regulatory frameworks, and institutional trust that no global firm can replicate from the outside.

Comarch is a global technology company founded in 1993 in Kraków, Poland, delivering AI-driven software solutions to financial institutions, telecoms, and enterprises across more than 30 countries. In September 2025, Comarch appointed its first Chief AI Officer and committed at board level to becoming an AI-driven organisation — embedding AI across all its products, services, and internal operations.

As CEO Jarosław Mikos stated: "For us, AI is not a passing trend but a long-term commitment and the foundation for growth and competitive advantage."

Comarch Wealth Management is an integrated, cloud-enabled platform serving retail, mass affluent, and HNWI segments.

Together

Together, IKON and Comarch are uniquely positioned to deliver this study. Comarch contributes global AI-in-wealth-management expertise, a proven Wealth Logic Layer architecture, and a board-level commitment to becoming an AI-driven organisation. IKON contributes the Indonesian market depth, regulator relationships, and financial sector credibility to ensure the findings are grounded in local realities — not global assumptions. The result is Indonesia's first AI readiness framework built specifically for this market.

By participating, you will receive access to the full anonymised benchmark report — the Indonesia AI Wealth Management Readiness Index 2026 — showing where Indonesian wealth management institutions stand collectively on AI readiness, AI awareness, AI infrastructure maturity, and AI wealth use case prioritisation. This report will be jointly published by Comarch and IKON in June 2026, shared with all participating institutions, as well as presented at an upcoming ABAPERDI member event planned for June 2026.

Your Anonymity — A Commitment, Not a Footnote

🔒

This questionnaire is fully anonymous. No individual name, job title, or firm name will be collected, recorded, or published. You will not be asked to identify yourself or your organisation at any point. There is no requirement to seek internal approval before participating.

All findings will be reported exclusively as aggregated, anonymised market data. Individual responses cannot be traced back to any person or institution — not by Comarch, not by IKON, and not by any third party. The value of this study depends entirely on honest, unfiltered responses. Your candour is both welcome and protected.

Each question presents a real-world statement or scenario, drawn from published industry research and market practice. Read the question and select the response that most accurately reflects your own experience or your firm's current situation. There are no right or wrong answers.

Scoring scale — consistent throughout all questions:
1
Strongly Disagree
2
Disagree
3
Agree
4
Strongly Agree
💡 Scoring is consistent throughout: a score of 1 always reflects a skeptical, unaware, or inactive position; a score of 4 always reflects a sophisticated, active, and strategically mature position.