Scripted. Limited. Siloed.
- Pre-defined decision trees
- No real banking system access
- Single-turn interactions
- No governance or audit trail
Deploy customer and employee AI agents, transaction intelligence, knowledge automation, and governed banking workflows inside your bank-controlled environment.
NOOR is not a chatbot. It is an agentic AI banking engagement platform designed to understand customer context, retrieve bank-approved knowledge, analyze transactions, assist employees, support relationship managers, and orchestrate governed banking workflows through integration with the bank's systems.
NOOR is designed to run within the bank-controlled environment, supporting on-premise, private cloud, or hybrid deployment models based on bank requirements.
Customer data, prompts, embeddings, logs, and sensitive banking information remain under the bank's control according to the selected deployment architecture.
NOOR is designed for Arabic and English banking experiences, with multilingual expansion supported based on bank requirements.
Through UBIL and bank APIs, NOOR connects to core banking, digital banking, CRM, cards, payments, onboarding, contact center, and enterprise knowledge systems.
NOOR can be configured with compatible model options selected according to the bank's infrastructure, governance, and security requirements.
NOOR supports policy controls, access management, auditability, monitoring, and bank-defined approval flows for sensitive actions.
NOOR connects channels, agents, knowledge, core systems, and governance into a single bank-controlled loop — select any layer to explore it.
Customer or employee initiates an interaction through any bank-connected channel.
Intent is classified and routed to the right specialised agent, which plans a multi-step response and holds turn-by-turn memory of the conversation.
Bank-approved policy, product and procedure documents are embedded and retrieved with citations, so every answer traces back to an internal source.
The integration layer normalises vendor payloads into one canonical banking model, shaping and authorising traffic before it reaches a system of record.
Model selection is the bank's decision. NOOR runs with compatible model options chosen against the bank's infrastructure, governance and security requirements.
Prompt, response, workflow and action logs feed monitoring dashboards for usage, errors, escalations, response quality and risk flags.
NOOR detects that a customer's salary has not arrived on its usual date and explains the potential cash-flow impact before upcoming payments are due.
NOOR identifies recurring payments and helps the customer understand where money is being spent every month.
NOOR guides the customer through eligibility, required documents, and application steps — reducing drop-off and call volume.
The relationship manager opens a client file and receives portfolio context, recent activity and next-best-conversation prompts drawn from CRM and core data.
Staff retrieve procedure and compliance guidance in seconds, with role-based access so each employee only sees what they are cleared to see.
Product, fee and eligibility rules are quoted from one governed source, so every channel gives the customer the same answer.
The advisor sees the customer's position, the likely reason for the call and the approved resolution path before the conversation begins.
Routine balance, statement and card queries resolve in the digital channel, so the queue keeps the calls that genuinely need a human.
Monitoring flags low-confidence answers and repeated escalations, giving the contact-center team a clear improvement backlog.
A defensible position on AI that avoids vendor dependency and does not bet the bank on a multi-year core replacement.
Usage, deflection, response accuracy and escalation rates reported against the KPIs agreed at pilot.
Intelligence ships on the estate the bank already runs, so differentiation arrives in months rather than programme cycles.
Governed banking workflows execute end to end, with approval steps inserted wherever the bank's policy requires a human decision.
DEV, SIT, UAT, PROD and DR stay separated and evidenced, so operations can promote changes with a clear audit position.
Usage, errors, escalations, response quality and risk flags are visible in one place instead of stitched together after the fact.
A structured, phased approach to onboarding agentic AI inside your secure, bank-controlled infrastructure. We partner with you at every stage.
Controlled rollout with select teams, quick time-to-value, and measurable KPIs from day one to prove core platform value.
Full-scale deployment across business units, complete change management support, and phased, risk-mitigated rollout plans.
DEV, SIT, UAT, PROD, and DR environments fully separated, sandboxed, and managed to secure software development lifecycles.
Flexible cloud-native or secure on-premise deployment with a highly scalable, fault-tolerant banking architecture.
Seamless, secure connection with core banking systems, digital frontends, CRMs, data lakes, and legacy enterprise workflows.
Dedicated 24/7 banking-grade support, strict SLA-backed response times, proactive monitoring, and instant incident management.
Unlock high-fidelity AI automation and compliant engagement layers with NOOR, built specifically for regulated financial institutions.
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