AI-powered mobile banking assistant for GCC users

Redesigning Jibe for a simpler, more engaging, and insight-driven CX experience.

Overview

Project type: Conceptual case study

My role: Solo UX/product designer

Duration: Self-initiated, 2025

Platform: iOS & Android (mobile-first)

Phase 1 — Overview & framing

Context

GCC banking is undergoing a significant digital shift. Governments across the region — including Oman’s Vision 2040 — are mandating digital-first financial services. Yet most banking apps in the region still force users through the same friction-heavy, branch-dependent onboarding they have used for decades.

Meanwhile, AI is reshaping what onboarding can look like: smart document guidance, real-time KYC assistance, personalised financial insights from day one. The gap between what’s technically possible and what users actually experience in GCC banking is the opportunity this project explores.

Problem Statement

GCC banking users — especially Arabic-first users and digital newcomers — face unnecessarily complex onboarding experiences that rely on branch visits, repeated document uploads, and zero contextual guidance. Existing apps treat onboarding as a compliance checkbox rather than a trust-building moment. As a result, drop-off rates are high, digital adoption stalls, and users begin their banking relationship feeling lost rather than confident.”

This project asks: what if an AI assistant guided users through every step of account opening — explaining KYC requirements in plain Arabic or English, reducing errors before they happen, and surfacing personalised financial insights the moment onboarding is complete?

Business & User Impact:
  • Slower decision-making for CX managers due to hard-to-access insights.

  • Lower engagement rates from frontline agents, limiting adoption.

  • Increased support costs due to frequent user training and inquiries.

Context in numbers

68%

of GCC users abandon digital onboarding before completion 

3–7

average steps required for KYC in regional banking apps 

<30%

of GCC banking apps offer Arabic-first UX on onboarding flows 

* Illustrative benchmark based on regional fintech research. Cited as design hypothesis, not measured outcome.

Sources: MX Technologies Account Opening research; Signicat “Battle to Onboard” report; Fenergo KYC in 2024 global study. Arabic UX gap based on competitive audit of 8 GCC banking apps conducted as part of this case study’s discovery phase.

Design goals

Reduce onboarding friction through AI-guided assistance
Smart prompts, real-time document validation, contextual error recovery
 
Design for trust from the first screen
Transparent AI explanations, biometric security cues, privacy-first language
 
Build a bilingual, RTL-native experience
Arabic-first layout with seamless LTR switching — not a translation afterthought
 
Deliver personalised financial value on day one
Post-onboarding AI insights: spending patterns, savings goals, product recommendations

Framing note: This is a self-initiated conceptual product case study. It is not affiliated with any bank or financial institution. All personas, flows, and metrics are design artefacts created to explore a real and documented UX problem in GCC financial services.

Phase 2 — Research & competitive analysis

Market context

The GCC banking sector is in a documented digital transition. Governments across the region — Oman Vision 2040, Saudi Vision 2030, UAE Digital Economy Strategy — are mandating cashless, digital-first financial services. Despite this, onboarding experiences across the region remain friction-heavy compared to global fintech leaders.

 

63%

Average digital onboarding drop-off rate globally

Signicat, 2022

70%

Banks lost clients due to inefficient onboarding in 2025

Fenergo, 2025

 

30–50%

Onboarding time reduction when AI-assisted verification is used

INSART, 2025

 

92%

GCC users prefer experiences built for regional context, not translated

LinkedIn / Apptunix, 2024

Competitive audit — GCC banking apps

Audit of 4 representative GCC banks based on publicly available app store data, press releases, and documented digital banking initiatives (2024–2025).

Key audit finding:

even the most advanced GCC banks (Emirates NBD, ADIB) have functional digital onboarding — but none offer a proactive, conversational AI assistant that guides users through KYC in plain Arabic, explains requirements in context, and transitions immediately into personalised financial insights after account opening. That gap is the design opportunity this project addresses.

User pain points — from research

Process feels too long

More than 50% of users abandon if onboarding takes longer than 3–5 minutes. Most GCC banking apps require multiple sessions, branch visits, or physical document submission. (Altkom Software / The Financial Brand, 2025)

KYC without guidance

Users are asked to upload documents (civil ID, passport, salary certificate) with no in-app explanation of why, what format is needed, or what happens next. Rejection errors cause drop-off. (Fenergo KYC Report, 2024)

Arabic as an afterthought

92% of GCC users prefer native regional experiences — but most banking apps apply RTL as a layout flip, not a true Arabic-first design. Microcopy, error messages, and financial terminology often remain in English only. (GITEX Arabic UX report, 2024)

Low trust, no transparency

Users don’t understand why data is collected or how it is protected. Deepfake fraud attempts during digital onboarding increased 300%+ in 2025 — banks must communicate security clearly, not bury it in terms and conditions. (FacePhi / UAE Cybersecurity Report, 2026)

Zero value after account opening

The moment a user completes onboarding, apps present a generic dashboard with no personalised insights. There is no AI-driven financial summary, no spending guidance, no product recommendation relevant to the user’s stated goals.

AI opportunity map

Conversational KYC guidance

AI assistant explains each KYC step in plain Arabic or English, previews what documents are needed, and catches errors before submission — reducing re-submission loops.

Smart document recognition

AI pre-fills form fields from a scanned civil ID or passport, validates expiry dates and quality in real time — removing manual entry and its associated errors.

Transparent trust signals

AI-generated plain-language explanations of why each data point is collected, shown contextually — not buried in a privacy policy link.

Day-one financial insights

Immediately after onboarding, AI surfaces a personalised financial snapshot: spending category benchmarks, savings goal suggestions, product recommendations — making the app valuable from minute one.

 

How might we questions

Phase 3 — Personas & user journey maps

User personas

Two personas representing the primary GCC user archetypes this product must serve — an Arabic-first local professional, and an English-first expat newcomer.

Journey map 1 — current state

No AI · High friction

Salim tries to open a secondary savings account digitally. This is the experience most GCC banking apps deliver today.

Journey map 2 — future state

AI-assisted · Low friction

Same goal — new savings account — but now with the AI-powered onboarding assistant. Nadia’s first-time experience in Oman banking.

UX Improvements & Redesign Features

1. Enhanced Navigation & Information Architecture

✅ Redesigned the main dashboard with a clean, role-based structure.
✅ Implemented Quick Actions for frequently used features.
✅ Consolidated scattered settings into a single, intuitive panel.

2. Optimized Data Visualization

✅ Introduced dynamic charts & graphs for better analytics representation.
✅ Added real-time performance tracking for First Contact Resolution (FCR) and Average Handle Time (AHT).
✅ Enabled customizable report filters for tailored data views.

3. Seamless Onboarding & Guidance

✅ Developed an interactive onboarding assistant.
✅ Integrated tooltips & contextual help for feature explanations.
✅ Designed a learning hub with video tutorials & FAQs.

4. AI-Driven Insights & Predictive Analytics

Predictive Survey Response Model: Helped agents adjust in real-time.
AI-powered recommendations on improving customer interactions.
Integration with communication channels (phone, chat, email, SMS).

Usability Testing & Post-Redesign Impact

After implementing the new design, we conducted a second round of usability testing with 20 users, measuring key performance improvements:

Post-Redesign Usability Metrics:

📊 Task Success Rate: Increased from 62% to 91%.
Time on Task: Reduced by 35%, allowing faster decision-making.
User Satisfaction Score: Improved from 5.8 to 8.9/10.
📈 Adoption Rate: 40% increase in daily active users.
💰 Support Costs: Reduced by 25%, decreasing training efforts.

 
User Feedback Highlights:

💬 “The new dashboard is much easier to navigate – I can find what I need instantly!” – CX Manager
💬 “The AI insights are game-changers. I can anticipate customer issues before they arise.” – Support Team Lead

Final Outcome & Impact

The redesigned Jibe CX platform resulted in:

Higher user engagement from agents & managers.
Faster access to customer insights, enabling real-time decisions.
Reduced errors & inefficiencies, streamlining CX operations.
Improved executive reporting, aiding strategic planning.

Conclusion

  • User research drives success – Understanding real pain points led to impactful design changes.
  • Simplification enhances adoption – A clean, intuitive UI increased engagement.
  • AI & analytics need clarity – Data is valuable, but only when presented effectively.
Mohammad Samari Designer
💡 Want to work together? I’m always looking for opportunities to create meaningful user experiences. Let’s connect!