Digital Agentic

The shift that defines the next decade of GCC banking

The retail banking sector is at an inflection point that goes beyond the incremental improvements of the digital transformation era. The Agentic Bank is different. It is built around AI at the core, where agents anticipate intent, act across the operating model, and decide in real time, within the rules your institution defines.

We are helping financial institutions design the architecture, orchestration, and operating model needed to compete in this new environment.

40%
faster development
50%
faster delivery
7×
output acceleration

Outcomes from Globant AI Pods banking success cases.

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Tell us your priorities and a GCC finance specialist will reach out.

A GCC finance professional in a modern glass office
Building the agentic bank for the GCC.

The operating model

AI is no longer a feature inside a digital bank. It is the operating model.

Banks are embedding AI and agentic AI across analytics and decision making, from chatbots and custom GPT solutions to AI-enhanced insights and agentic workflows, supported by orchestration layers that let systems act within defined guardrails.

Digital information Intelligent, self-running banking
The three pillars

What changes when a bank runs on agents

Agentic banking means systems that act within defined guardrails. That is what autonomy makes possible: agents that sense, decide, and act, within human-defined mandates, on real data, at machine speed.

Pillar 01

Intelligent decisioning at speed

Credit decisions, fraud detection, risk scoring and compliance checks, orchestrated by AI agents acting within defined guardrails. Not rules engines. Not static models. Living systems that learn from every transaction and enforce your policies autonomously, at a scale no manual process can match.

Pillar 02

Always-on client experience

The Agentic Bank knows what clients need before they ask: the major purchase, the portfolio rebalance, the SME owner who needs a decision by morning. Agents handle the data, the analysis and the first response. Your people handle the relationship and the judgment. The human touch stays. The manual work does not.

Pillar 03

Open banking and the connected financial ecosystem

The next decade is not built on closed systems. It is built on interoperable platforms that connect regional payment rails, open finance infrastructure, wealth networks and AI decisioning layers at once. CBUAE Open Finance and SAMA Open Banking are not compliance obligations. They are the architecture of a bank that grows without walls.

See how these pillars come together for your institution.

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Agentic AI intelligence visualised as an interactive holographic data interface
Agentic intelligence, running on real data in production. Talk to our experts
A GCC wealth professional reviewing AI-powered analytics on a laptop
Wealth management for the GCC

Where agentic AI changes wealth management in the GCC

Wealth management in the GCC is not the same as anywhere else. The client base spans ultra-high-net-worth individuals, sovereign wealth entities, family offices and a fast-growing mass-affluent segment, each needing a different level of personalisation, compliance posture and relationship.

Agentic AI makes all of it possible at scale. Propensity models that identify the right product at the right moment. Event-driven triggers that connect portfolio decisions to real-world signals such as market movements, regulatory changes and life events. And advisory agents that surface the insight, so your relationship manager delivers it with the judgement and empathy no system replaces.

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GCC client segments

Ultra-HNW individualsSovereign wealth Family officesMass-affluent

Agentic flow

  1. Propensity modelsRight product, right client, right moment
  2. Event-driven triggersMarket moves, regulatory change, life events
  3. Advisory agentsSurface the insight, ready to act on
  4. Relationship manager HumanDelivers with judgement and empathy
The proof

Built in production. Not promised in a pilot.

Globant's Finance Studio builds agentic operating models in production, at regulated financial institutions, measured against real business outcomes.

Already delivering for banks, retailers, media and more.

Partnerships that matter

Our ecosystem of partnerships ensures best-in-class capabilities:

NVIDIA OpenAI AWS Microsoft Azure Google Cloud Salesforce Oracle ServiceNow UiPath
How Globant delivers

AI Pods: the delivery model that makes agentic banking real

Agentic banking is the destination. AI Pods are how you get there, redefining the way work gets delivered. AI-native service units where agents execute, experts supervise, and enterprises receive governed outputs at scale.

Each AI Pod combines frontier agentic AI with the deep expertise of Globant's Financial AI Studio, creating an agentic workflow that orchestrates solutions end to end at enterprise scale.

From software as a service to services as software.

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AI Pods are built for

SpeedScaleAdaptability

Select what you need, deploy instantly.

Output accelerationAverage multiplier vs. traditional delivery teams.
20+YearsOf industry-specific knowledge.
140+LLMsRouted through our interface.
Success cases in banking

Agentic delivery, already in production

Two banks. Two hard deadlines. AI Pods delivered both, pairing Globant's engineers with Agentic AI.

A bank technology team collaborating in a glass boardroom with analytics screens
Data migration

An Irish bank completed its data migration with Globant

40%
faster development
6months
end to end
DORA
deadline beaten, Mar 2025
Challenge

A 2013 GWT and Java applet branch application needed a full redesign and a rapid migration to .NET Core, ahead of the EU Digital Operational Resilience Act (DORA) deadline for banks in March 2025.

Approach

Globant's lean AI Pods subscription model, powered by Globant Enterprise AI, accelerated the migration through intelligent automation and human orchestration.

  • Code Conversion Agent translated Java to .NET Core.
  • Functional Spec and Code Q&A Agents clarified business logic and the legacy codebase.
  • User Story and Unit Test Generators kept logic aligned and coverage high.
Outcome
40% faster developmentHigher quality with AI-generated testsSeamless integration
An analyst reviewing financial statistics and AI-driven insights on a tablet
Product definition

AI Pods reimagined product definition at a global bank

50%
faster delivery
6→3months
timeline halved
10epics
in 1 month, vs 1 in 3 weeks
Challenge

A leading worldwide bank needed to define an entire business application from scratch: functional scope, epics, user stories and documentation, on a tight deadline and a constrained budget. Traditional models stalled at one epic in three weeks.

Approach

Globant's AI Pods paired the core team with Agentic AI, powered by Globant Enterprise AI and Globant CODA.

  • Product Definition Agent turned visioning sessions into user stories in hours.
  • Documentation Agents generated specs and manuals to strict bank standards.
  • Human oversight kept it sharp, strategic and high-quality.
Outcome
50% faster deliverySix months to three10 epics in one monthOn budget
Talk to our Finance Studio

Ready to move from digital to agentic?

Our GCC finance specialists are available to discuss your institution's specific priorities.

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