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Modernization is non-optional for achieving digital transformation in financial services.
Finding 1 of 5
PeMa Quadrant · 1st edition · Published November 1, 2025
Agentic AI Powered Modernization
27 vendors evaluated on market penetration and technology maturity. 11 qualify as Leaders.
27
Vendors evaluated
11
Leaders
First edition of this PeMa Quadrant. Next edition: RFI closes 16 Nov 2026 →
11 Leaders · 8 Seasoned · 1 Growth · 7 Challengers
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Where all 27 vendors landed
Hover a dot for the vendor, click to open its passport.
Technology maturity →
SeasonedLeadersChallengersGrowth
Market penetration →
2025
Positions from 2025 are read from the chart AIM published that year. Source →
What the report finds
5 shifts buyers should know
AI outcomes are strongly correlated with cloud-native, multi-model data platforms and secure architectures.
Adoption of Agentic AI is rising in operations, customer experience, underwriting, and IT productivity.
Siloed legacies and incomplete digitization constrain the scale of Agentic AI adoption.
Enterprises are adopting layered agent stack designs with orchestrator and domain super-agents.
Vendors evaluated
All 27 vendors, and how they moved
| Vendor | Placement | Headquarters | Vendor passport |
|---|---|---|---|
| Blend360 | Leaders | — | Passport → |
| Centific | Leaders | — | Passport → |
| EY Global Delivery Services LLP | Leaders | — | Passport → |
| Fractal Analytics | Leaders | — | Passport → |
| Fujitsu | Leaders | — | Passport → |
| LatentView Analytics | Leaders | — | Passport → |
| MathCo | Leaders | — | Passport → |
| Straive | Leaders | — | Passport → |
| Tiger Analytics | Leaders | — | Passport → |
| USEReady | Leaders | — | Passport → |
| WNS Global Services | Leaders | — | Passport → |
| Aays | Seasoned | — | Passport → |
| C5i | Seasoned | — | Passport → |
| Dentsu | Seasoned | — | Passport → |
| Evalueserve | Seasoned | — | Passport → |
| InfoCepts | Seasoned | — | Passport → |
| JK Tech | Seasoned | — | Passport → |
| SG Analytics | Seasoned | — | — |
| StratLytics | Seasoned | — | Passport → |
| Indus Net Technologies | Growth | — | Passport → |
| Akaike Technologies | Challengers | — | Passport → |
| Artivatic | Challengers | — | — |
| Chetu | Challengers | — | Passport → |
| Intelekt AI | Challengers | — | — |
| Konverge AI | Challengers | — | Passport → |
| Senzcraft | Challengers | — | — |
| Think360.ai | Challengers | — | Passport → |
Blend360Leaders
CentificLeaders
EY Global Delivery Services LLP Leaders
Fractal AnalyticsLeaders
FujitsuLeaders
LatentView AnalyticsLeaders
MathCoLeaders
StraiveLeaders
Tiger AnalyticsLeaders
USEReadyLeaders
WNS Global ServicesLeaders
AaysSeasoned
C5iSeasoned
DentsuSeasoned
EvalueserveSeasoned
InfoCeptsSeasoned
JK TechSeasoned
SG AnalyticsSeasoned
StratLyticsSeasoned
Indus Net TechnologiesGrowth
Akaike Technologies Challengers
ArtivaticChallengers
ChetuChallengers
Intelekt AIChallengers
Konverge AIChallengers
SenzcraftChallengers
Think360.aiChallengers
Showing 10 of 27 ·
Abstract
The report titled 'Agentic AI Powered Modernization for Digital Transformation in Financial Services' explores the critical role of data modernization as a prerequisite for digital transformation in the financial services sector.
It synthesizes insights from 20 senior leaders in Bengaluru, India, highlighting the challenges and opportunities in adopting Agentic AI. The report emphasizes that without robust data foundations, digital transformation cannot progress. Key themes include the necessity of moving away from legacy systems, the importance of strong governance, and the urgency of building scalable AI-ready infrastructure. The report also discusses the rise in AI adoption across operations, customer experience, underwriting, and IT productivity, while noting concerns in risk, compliance, and regulatory reporting. It outlines the shift towards layered agent stack designs and the role of Global Capability Centers (GCCs) as engines of reinvention. The narrative covers the state of Agentic AI adoption, data and platform modernization, operating model shifts, and the measurable value delivered by Agentic AI.
Methodology
How vendors were scored
The research was conducted through a roundtable discussion hosted by MongoDB and Accenture, involving 20 senior leaders from the financial services industry in Bengaluru, India.
X axis
Market penetration
- Delivery scale
- Financial health
- Customer mindshare
Y axis
Technology maturity
- Technical innovation
- Value realisation
- DataOps depth
The research was conducted through a roundtable discussion hosted by MongoDB and Accenture, involving 20 senior leaders from the financial services industry in Bengaluru, India. The report synthesizes their insights on the adoption of Agentic AI and the challenges faced in data and platform modernization. The scope includes the state of AI adoption, data realities, platform choices, and operating model shifts. The evaluation approach involved analyzing the dialogue to extract key themes and actionable insights.
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Request subscriber accessFrequently asked questions
The PeMa (Penetration and Maturity) Quadrant is AIM Research's 2x2 vendor evaluation framework. It measures each provider's market penetration (clients, deal sizes, geographic spread) and technology maturity (capabilities, platforms, partnerships), and places them as Leaders, Seasoned Vendors, Growth Vendors or Challengers.
Any enterprise technology vendor active in the relevant market category can request to participate. AIM Research issues an open RFI for each study and invites qualifying vendors via the Research Calendar.
Vendors are evaluated through a structured RFI process backed by primary research, including vendor briefings, customer references and product evaluations. They are scored across 40+ weighted criteria covering product capabilities, strategy and market impact, and the weighted scores are mapped to one of the four quadrant positions.
The date of the next edition has not been announced yet. Upcoming studies and their RFI windows are listed on the AIM Research Calendar.
Data modernization is essential for adopting Agentic AI as it provides the necessary data foundations for digital transformation. Without modernized data infrastructure, AI initiatives cannot progress effectively, as highlighted by industry leaders in the report.
Financial institutions are moving towards layered agent stack designs and adopting multi-model databases to address legacy system challenges. They focus on extracting clear rules, wrapping mainframe functions behind APIs, and modernizing application logic while keeping data on mainframes.
Key areas of AI adoption in financial services include operations, customer experience, underwriting, and IT productivity. However, there are concerns in risk, compliance, and regulatory reporting, where strong guardrails and human oversight are required.