For the next customer conversation
Walk into every meeting with the full picture.
Spend less time piecing together information and more time understanding what your customer needs next.
Banking, built around the relationship
AI-Powered Customer Relationship Agent for Banking
One intelligent relationship cockpit. Bring customer context, credit insights and the right next action into every banker’s conversation.
Relationship cockpit
Customer 360
“Can Mohammed get a loan top-up? What should I do next?”
Mohammed Ali
Premier customer · 8-year relationship
A clearer way forward
$30,000 of a $50,000 top-up request may be eligible.
Illustrative partial eligibility · Subject to bank review
Next best action
Keep the relationship moving
Create a lead with the context and next step for the relationship manager.
Customer context → Policy checks → Explained next action
The business opportunity
Your teams already have the questions. Help them connect the information, understand the options and move the conversation forward.
Bring accounts, deposits, loans and engagement history into one relationship view.
Measure: meeting preparation time
Identify top-up, card and cross-sell opportunities in the context of a customer’s needs and eligibility.
Measure: qualified lead conversion
See exposure, policy checks and decision reasons together, with a clear next step for your team.
Measure: time to review & follow up
Outcomes to target and measure in a pilot; no performance improvement is guaranteed.
Built around the people who bank
For the next customer conversation
Spend less time piecing together information and more time understanding what your customer needs next.
Questions this role asks
01“What should I know before Mohammed’s review?”
02“Is he eligible for an additional loan?”
03“Which opportunities need my follow-up?”
From a question to a next step
Follow Mohammed’s relationship from understanding his needs to assessing an opportunity and arranging a follow-up.
01 / Prepare for the meeting
Understand the relationship before the conversation.
Recommended next stepPrepare a relationship review, then explore relevant borrowing needs and follow-up opportunities.
02 / Assess an opportunity
Connect eligibility, risk and a clear explanation.
Recommended next stepCreate a lead with the request, eligible amount and decision reason. Assign it to the relationship manager to discuss the remaining requirement and alternatives.
03 / Explore a card limit increase
Review the right evidence and plan the next action.
Recommended next stepPresent the recommendation and reasons for authorized review. Capture a follow-up lead where the customer needs a conversation or an alternative.
Illustrative experience using sample data from the concept. Recommendations require configured rules, available evidence and authorized review.
Relationship orchestration
Ask in everyday language. Start with the customer and the decision you need to make.
Bring together customer, credit, loan, card and risk perspectives.
See the eligible option, the decision reason and any constraints.
Capture a qualified lead, assign an owner and track the next conversation.
Next step
Whatever the outcome, keep the next step clear.
Confirm the option for authorized review.
Discuss the available amount and alternatives.
Explain the reason and arrange a follow-up.
Confidence at every step
Give bankers useful answers within the boundaries of their role, their portfolio and your bank’s policies.
Scope customer records and insights to authorized responsibilities, branches and portfolios.
Bring customer context, policy checks and reasons into the review, with a record of the action.
Credit decisions and execution follow your bank’s approval process. The agent supports authorized people.
For technology & data teams
Architecture, specialist agents and the governed data foundation.
Microsoft Fabric connects source data through OneLake, curated data layers and domain semantic models. Specialist agents bring those insights into a coordinated relationship experience, with Power BI for visual analysis.
01
Customer profiles, accounts and transactions, loans and repayments, cards, deposits, business rules, product pricing and leads.
02
Role-based access, row-level security and model permissions scope the information available. Decision and lead records support auditability.
03
The current site also describes a separate Operations Agent for approved credit workflows. Integration scope and platform availability must be confirmed for each deployment.
Solution architecture

Scroll sideways to read the full diagram. Download for a full-resolution view.
Reference architecture from the NeoStats relationship concept. Final controls, integration design and service availability depend on the agreed deployment.
Start with a business priority
Bring your business and technology teams together around a focused customer journey and measurable success criteria.
Customer reviews, loan top-ups, card limit increases or relationship follow-ups.
Agree customer data, business rules, role permissions and approval responsibilities.
Track preparation time, review turnaround, follow-up completion and lead conversion.
Let’s build stronger customer relationships
See what a connected relationship experience could look like for your bank.