Services · Artificial intelligence · Banking AI agents

Agents that clear the queue while bankers decide.

Q: Where does customer data go?

It stays in an environment you control, designed around the UAE Personal Data Protection Law. We deploy in your cloud tenancy or data centre and mask account numbers and personal data before any model call where required. Model access runs under terms that exclude training on your data. Your information security team approves the architecture.

Q: Can it make decisions on KYC, fraud or credit?

It prepares the case, and a person decides. The agent extracts, checks and summarises, then flags what it found. Onboarding officers, fraud analysts and credit staff make every decision, and the system records who decided what. That keeps accountability where your regulators expect it.

Q: How do you handle errors and made up answers?

Through grounding, testing and human review. Answers are drawn from your own documents with the source shown, and the agent says when it does not know. We run evaluation sets before release and after every change. Anything uncertain is escalated rather than guessed.

Q: Will it integrate with our core banking system?

Yes, through your existing APIs or middleware. We connect to core banking, CRM, case management and document systems through the integration layer your IT team already supports. The agent gets read or write access only where the task needs it. Every call is logged.

Q: Who approves the agent before customers use it?

Your risk, compliance and information security owners. We design the work around your regulatory obligations and provide documentation for model risk review, but sign off sits with your bank. Where Islamic finance products are involved, your Sharia review team can check the agent's answers before release.

We build banking AI agents in Dubai that handle customer service, KYC document checks, dispute intake and internal policy questions. They prepare work for bank staff and never make credit, fraud or advice decisions on their own. Every step is logged for your risk and compliance teams.

Agents run inside your security perimeter and connect to core banking, CRM and case systems through controlled APIs, in English and Arabic.

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Built for: Retail and commercial banks, digital banks and finance companies with heavy service queues and manual document checks.
Typical timeline: A first agent usually reaches a controlled pilot in ten to fourteen weeks, which allows time for security and risk review.
What you own: You own the agent logic, prompts, integrations, evaluation sets and audit logs, hosted in your environment.
Rated: 4.7 / 5 from 23 Google reviews

200+ companies servedFrom a first store to an ADX listed developer

What you get

Banking agents built around real jobs in the bank.

Each agent supports a team that already exists. It prepares, checks and routes the work, and a banker or analyst makes the decision.

Explain your project

Customer service agent
Answers questions on accounts, cards, transfers and charges from approved content, and completes simple servicing tasks once the customer has authenticated. Customers can write in English or Arabic, Islamic finance products such as murabaha and ijara are explained from your approved product sheets, and any case it cannot settle goes to a person with the full conversation attached.
Shorter contact centre queues, and staff who start every call with context.
KYC document check agent
Reads passports, IDs, trade licences and proof of address, extracts the fields and checks them against the application. Mismatches, expired documents and missing pages are flagged for the onboarding officer.
Onboarding officers review exceptions instead of reading every page.
Dispute intake agent
Collects the transaction details, reason and evidence for a card dispute through chat or the app. It opens a complete case in your case system under the right category.
Disputes arrive ready to work, so fewer go back to the customer for missing details.
Internal policy assistant
Lets staff ask questions of credit policy, product rules and procedures, and answers with a link to the exact section. It says so plainly when the policy does not cover the question.
Branch and operations staff find the right rule quickly, with the source in front of them.
Relationship manager prep agent
Builds a short brief before a client meeting from CRM notes, recent activity, open requests and product holdings. The relationship manager edits it and decides what to discuss.
Relationship managers walk into meetings prepared without an hour of digging.
Fraud alert triage agent
Gathers the transaction history, device data and past alerts behind each fraud alert and writes a summary for the analyst. The analyst decides whether to block, release or escalate.
Analysts work through alerts with the evidence already assembled.
Complaints handling agent
Classifies incoming complaints, drafts acknowledgement letters and tracks the response deadlines set by your policy. A complaints officer approves every reply before it is sent.
Fewer missed deadlines and a clear record for internal audit.
Collections reminder agent
Sends approved payment reminders and takes promise to pay dates or hardship requests through chat. Sensitive or vulnerable cases go straight to a collections officer.
Routine reminders go out on time, and customers in difficulty reach a person sooner.

Who this is for

Banks and lenders we build for.

The right first agent depends on where queues and manual checks hold your teams back.

Retail and digital banks

High volumes of service chats, card disputes and onboarding files across app, web and branch. Agents take the routine work and route the rest to the right team.

Start with service and disputes.

Corporate and private banking

Relationship managers and credit teams who spend hours assembling information before they can speak to a client. Agents prepare briefs and answer policy questions for them.

Start with RM prep and policy search.

Finance companies and fintechs

Lenders, payment firms and wallets that need KYC checks and customer support to keep pace with growth. Agents handle the volume while compliance keeps control.

Start with KYC document checks.

How a banking agent gets through risk and into production.

01ScopeWe map one process with the business owner, risk and compliance, and write down what the agent may and may not do. Decisions that need an authorised person stay with that person.
02SecureWe design hosting, data flows and access with your information security team, in your cloud or on premise environment. Model providers are chosen to meet your data residency needs.
03TestThe agent is tested on an evaluation set of real cases, adversarial prompts and policy edge cases. Results go to your model risk and compliance teams for review.
04OperateWe launch to a limited group, monitor every interaction and report on errors and escalations. The scope widens only when your risk owners agree.

How we work together

How banks engage us.

We can deliver one agent end to end, embed engineers with your digital team, or support your in house team with build reviews and model risk documentation. The model is agreed before work begins.

Discovery and pilot

Teams deciding where AI should start

A short, fixed piece of work: the use cases ranked, the data checked, and one pilot built against real examples so you can judge it on evidence rather than a demo.

Use cases ranked by value and risk
Data and systems review
A working pilot on your own examples
A written plan for what comes next

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Build and launch

A use case that is ready to go live

A written scope and a fixed quote, then the build: integrations, guardrails, an evaluation set and a launch with your team trained to use it.

Written scope and acceptance tests
Integration with your systems
Evaluation set and human review steps
Launch, training and handover

Get in touch

Run and improve

AI that is live and needs looking after

A monthly plan to watch quality, cost and usage, update prompts and models as vendors change them, and add the next use case when the first one earns it.

Quality and cost monitoring
Model and prompt updates
A monthly report on usage and results
The same team that built it

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Technology

What we build this with.

Models are chosen per use case for quality, cost and where your data is allowed to go. The systems around them run on the stack below.

01Web

React
Next.js
TypeScript
Node.js
Laravel
WordPress

02Data and cloud

PostgreSQL
MySQL
MongoDB
AWS
Azure
Docker

Questions banks ask before they start.

Will the agent give financial advice to customers?

No. It explains approved information and passes advice to people.

The agent answers from product sheets, terms and FAQs your compliance team has approved. Questions about suitability, investments or personal financial decisions go to a qualified member of staff. We test that boundary during evaluation and monitor it after launch.

Where does customer data go?

Can it make decisions on KYC, fraud or credit?

How do you handle errors and made up answers?

Will it integrate with our core banking system?

Who approves the agent before customers use it?

Services that usually go with this one.

AI agent developmentAgents that do real work, with a person signing off.AI security, risk and governanceUse AI with controls you can explain to an auditor.Enterprise AIA private AI assistant that knows your company data.

Tell us what the business needs. We will tell you what to build first.

Schedule a free consultation and get a written recommendation, with costs, before you commit to anything.

Get in touch

PROVEN RESULTS

4.7 / 5from 23 Google reviews

Agents that clear the queue while bankers decide.

Banking agents built around real jobs in the bank.

Customer service agent

KYC document check agent

Dispute intake agent

Internal policy assistant

Relationship manager prep agent

Fraud alert triage agent

Complaints handling agent

Collections reminder agent

Banks and lenders we build for.

Retail and digital banks

Corporate and private banking

Finance companies and fintechs

How a banking agent gets through risk and into production.

How banks engage us.

Discovery and pilot

Build and launch

Run and improve

What we build this with.

Questions banks ask before they start.

Services that usually go with this one.

Tell us what the business needs. We will tell you what to build first.