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Royal Canary Corporation

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Banking · AI Relationship Management

AI Relationship Management for Bankers

A Copilot for relationship managers — meeting prep, portfolio insights, next-best-action and drafted communications — grounded in your customer data and coverage playbooks.

Overview

BancoOS gives every RM a Copilot that understands their portfolio, prepares client meetings, surfaces cross-sell and drafts communications.

Industry challenges

  • RMs spend hours pulling data before each meeting.
  • Cross-sell opportunities missed in the noise.
  • CRM data is stale.
  • Portfolio insights arrive weekly, not live.

The BancoOS solution

A grounded Copilot with CRM integration, product-propensity models and configurable coverage playbooks.

Workflow diagram

Reference RM workflow.

Business outcomes

  • 20–40% more meetings prepared.
  • Higher cross-sell rates.
  • Lower time-to-response.
  • Cleaner CRM data.

Integrations

Salesforce, MS Dynamics, in-house CRM, core banking and product catalog.

Security & compliance

Tenant isolation, RBAC by coverage, content review workflows, encryption and in-region hosting.

Frequently asked questions

What does the RM Copilot do?

Meeting prep, portfolio insights, next-best-action, cross-sell suggestions and drafted client communications.

Is Copilot grounded in our data?

Yes. Copilot answers are grounded in CRM, core banking and product catalog data with citations.

Can RMs draft emails and pitches?

Yes. Drafts follow coverage playbooks and compliance-approved templates.

How is content compliance handled?

Content review workflows route sensitive outputs through supervision before send.

Which CRM systems are supported?

Salesforce, MS Dynamics and in-house CRM via REST APIs.

How is cross-sell surfaced?

Product-propensity models score each client, with playbook-driven talking points for RMs.

Is the model tuned to our coverage playbooks?

Yes. Playbooks are configurable per segment, product and geography.

How long to deploy?

6–8 weeks for the first coverage team; additional teams follow quickly.

Is customer data used to train foundation models?

No. Models are tuned per-tenant with data staying in your tenant.

What ROI do coverage teams see?

Typical results: 20–40% more meetings prepared, higher cross-sell rates and lower time-to-response.

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