How we help

Our engineers work inside your lending and risk teams.

An analyst reviewing customer and loan reports on two screens
Data foundation

Your customer and loan data foundation

Core banking, loan, card and payment data in one governed place, with core systems left in place.

Powers Customer 360, loan portfolio performance and six more use cases

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A collections specialist on a call at her desk
AI workflow

Collections

Each account is ranked by its likelihood to pay and the best time to reach it. An AI agent drafts the next step, and your collectors approve it.

Data it needs Payment, contact and account history, joined on the data foundation

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An analyst reviewing customer and loan reports on two screens
AI workflow

Portfolio intelligence

AI shows how each vintage and segment is performing and forecasts losses, for your risk team and capital partners to review.

Data it needs Loan and payment history, joined on the data foundation

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Every workflow gets stronger on a data foundation.

Why now

Examiners want numbers they can trace, and customers want answers now.

Rules

Examiners expect traceable data

Regulators ask for numbers you can trace from the report back to the source system.

Customers

Customers expect speed

Borrowers and depositors expect decisions and answers in minutes, on any channel.

Data

AI needs trusted data

AI pilots stall when customer and loan data sits in separate systems.

Questions

What financial services leaders ask us.

How do you protect customer data?

Every platform we build encrypts customer data, limits access to what each role needs and logs every access. Parkar is SOC 2 Type II and ISO 27001 certified.

Do you work with our core banking and loan systems?

Yes. We connect to your core banking, loan origination and servicing systems through standard connectors and data extracts, with no changes to the systems themselves.

How do AI agents stay safe in regulated work?

Each agent has its own identity and permissions, works only on approved data, and is tested before release. A person approves anything that affects a customer, a loan or a regulatory report.

Do we need a data foundation before we start on AI?

It depends on the workflow. Document work such as customer onboarding can start on the systems you run today. Customer 360, portfolio reporting and collections ranking draw on the foundation. The Data Readiness Assessment shows which path fits your organization.

Do we have to move to the cloud?

No. We build on-premises or in the cloud. Open models can run on your own infrastructure where customer data has to stay inside your walls.

Get started

Start with where your customer and loan data stands.

4 minutes

AI Readiness Diagnostic

Ten questions about your data, systems and teams. You get a score and a clear place to start.

Take the AI Readiness DiagnosticDownload a sample report ›
2 to 3 weeks

Data Readiness Assessment

Our data engineers score your core banking, loan and customer data and give you a ranked plan for the first projects.

Book a Data Readiness AssessmentDownload a sample report ›
5 days

AI Use Case Prioritization

Your AI ideas scored and ranked, with the right agent, model and size for each.

Book AI Use Case PrioritizationDownload a sample report ›