Kizzy Consulting provides Salesforce Financial Services Cloud consulting for banks, credit unions, mortgage lenders, insurers, and wealth firms in the USA and Australia. We cover FSC implementation, Client 360 and KYC workflows, core banking integration, Agentforce and Data Cloud AI, compliance architecture, and managed support after go-live.
Kizzy Consulting is a Salesforce Consulting Partner that helps banks, credit unions, mortgage lenders, insurance carriers, and wealth management firms implement Salesforce Financial Services Cloud (FSC) - with Agentforce, Data Cloud, and Einstein AI built into every workflow.
Most banks, lenders, insurers, and wealth firms are still running on disconnected systems that were never designed for modern compliance, AI, or customer expectations.
Core banking, loan origination, and CRM data live in separate silos.
A client's accounts, mortgage, and policies are treated like different people.
KYC, AML, and financial regulations demand audit trails manual work can't reliably produce.
Relationship managers spend more time searching than advising.
Paper forms and manual handoffs slow every approval.
FSC replaces fragmented systems with a single Financial Services Data Model connecting accounts, households, policies, goals, and interactions in one place. Layered with Agentforce and Einstein AI, FSC doesn't just centralize data - it acts on it, automating onboarding, surfacing next-best actions, flagging compliance risk, and giving every advisor and service agent an AI copilot grounded in real customer data through Data Cloud.
Talk to an FSC ConsultantFSC is an industry-specific CRM built on the Salesforce Platform for banking, insurance, mortgage, and wealth management - pre-built with a financial services data model so you don't build it from scratch.
| Capability | Generic CRM | Salesforce Financial Services Cloud |
|---|---|---|
| Data model | Generic contacts/accounts | Purpose-built financial data model |
| Relationship view | Flat contact records | Client 360 with household view |
| Compliance | Manual add-ons | Built-in KYC & Shield-based compliance |
| AI | Limited or bolted-on | Native Agentforce & Einstein AI |
| Industry workflows | Custom-built | Pre-built for banking, insurance, wealth |
| Onboarding | Manual, generic forms | Guided, compliant, automatable |
| Referral & complaint mgmt. | Not built-in | Native objects & workflows |
Unified Client 360 across every branch and digital channel.
Relationship mapping built for complex credit facilities.
Automated origination from application to disbursement.
Policies, claims, and complaints in one system.
Full view of client goals, portfolios, and households.
Deal pipelines and compliance in one place.
Enterprise-grade CRM for member-first service.
A compliant, AI-ready CRM foundation that scales fast.
Institutional and retail relationships, unified.
White-glove service with a complete client picture.
A single, unified view of every customer relationship.
Visualize how clients, households, and referral sources connect.
Group related individuals for a combined financial picture.
Checking, savings, loans, and investments in one model.
Tie recommendations directly to client goals.
Track and route referrals with full visibility.
Log and resolve complaints with full audit trails.
Manage multi-stakeholder business relationships.
Local performance and referral visibility for branch teams.
Auto-generate compliant, pre-filled documents.
Automate identity verification and risk profiling.
Track lending and investment deals through structured pipelines.
Build segments based on financial behavior and goals.
Automatically summarize related records at the household level.
Grounded in real-time data through Data Cloud, Agentforce agents work alongside your teams instead of replacing them.
Next-best-action and portfolio insights in real time.
Handle routine inquiries, escalate complex cases with context.
Guide applicants through document collection and status.
Support claims intake and documentation checks.
Summarize market and account data for advisors.
Monitor transactions and flag regulatory risk.
Automate document verification and credit checks.
Flag risk indicators for underwriting decisions.
Monitor account patterns to flag suspicious activity.
Extract and validate data from uploaded documents.
Draft and route client communications by case type.
Instant, accurate answers pulled from internal knowledge.
Structured summaries and follow-ups from client meetings.
Summarize long case histories in seconds.
The predictive and generative layer behind every agent.
Kizzy Consulting integrates FSC with the broader Salesforce ecosystem and the external systems your institution already relies on.
Understand workflows, regulatory environment, and current systems.
Audit existing CRM, data quality, and integration points.
Design the Financial Services Data Model, security, and integration architecture.
Migrate accounts, households, policies, and historical data.
Configure objects, layouts, and business-specific workflows.
Connect core banking, MuleSoft, DocuSign, and other systems.
Validate workflows, data integrity, security, and compliance controls.
Train advisors, underwriters, service teams, and administrators.
Deploy to production with a structured cutover plan.
Post-launch hypercare and issue resolution.
Refine workflows based on adoption and performance data.
Roll out Agentforce agents and Einstein AI in phases.
Certified consultants with hands-on FSC implementation experience.
Dedicated Agentforce and Einstein AI expertise.
Consultants who understand banking, lending, and wealth operations.
Security and compliance built in from day one.
Deep familiarity with KYC, AML, and financial regulation.
Architecture designed to grow with your institution.
A structured framework built to reduce time-to-value.
Ongoing support and optimization after go-live.
We work as an extension of your team across your roadmap.
The right FSC partner combines Salesforce certification, financial services domain knowledge, and a delivery model that carries you past go-live. Use these six criteria to compare firms.
Ask for FSC-specific references and outcomes, not just general Salesforce experience. Check that the team has configured households, financial accounts, and KYC flows before.
Your partner should understand KYC, AML, audit trail, and data-residency requirements in your market, and design Shield, encryption, and access controls accordingly.
FSC sits beside core banking, policy administration, and loan origination systems. Confirm hands-on MuleSoft and API integration experience with those systems.
AI should be built into workflows from the start. Look for a partner who has shipped Agentforce agents grounded in Data Cloud, with human-in-the-loop approvals.
Expect a discovery-led scope, clear phases, and named roles. Be cautious of fixed quotes issued before anyone has assessed your data and integrations.
Adoption decides ROI. Choose a partner offering hypercare, managed services, and a phased AI roadmap after go-live.
Want to see how we meet these criteria? Read our financial institution case study or book a consultation.
Timelines depend on scope, number of users, integrations, and data migration. These ranges reflect typical Kizzy Consulting engagements.
| Engagement | Typical scope | Typical timeline |
|---|---|---|
| Discovery & CRM assessment | Workflow, data, and integration audit; target architecture and roadmap | {{TIMELINE_DISCOVERY}} |
| Focused FSC implementation | Client 360, households, financial accounts, one or two workflows (e.g. onboarding or KYC) | {{TIMELINE_FOCUSED}} |
| Enterprise FSC rollout | Multi-line-of-business deployment, core banking integration via MuleSoft, data migration | {{TIMELINE_ENTERPRISE}} |
| Agentforce & AI enablement | Phased rollout of Agentforce agents and Einstein AI grounded in Data Cloud | {{TIMELINE_AI}} |
A project-based engagement that follows our 12-step framework, from discovery through go-live, with a defined scope, milestones, and handover to your admin team.
Ongoing support after launch: hypercare, issue resolution, release management, workflow optimization, and phased Agentforce rollout on a retainer basis.
FSC cost has two parts: Salesforce licenses, paid to Salesforce, and implementation services, paid to your consulting partner.
Salesforce prices Financial Services Cloud per user, per month, by edition, with add-ons for products such as Data Cloud and Agentforce. For current list prices, see Salesforce's Financial Services Cloud pricing page.
Not sure which licenses you need? Our Salesforce licenses guide explains how editions and add-ons are structured.
Implementation cost depends on user count, integrations, data migration, compliance requirements, and the number of workflows automated. Kizzy Consulting scopes every engagement after a discovery assessment, so you receive a quote based on your actual environment.
Prices and editions are set by Salesforce and change over time. Always confirm current pricing with Salesforce.
Read how Kizzy Consulting implemented Salesforce for a financial institution: the starting challenges, the architecture we chose, and the results.
Every account, policy, and interaction in one place.
Less searching, more advising.
Automated verification shortens origination cycles.
Proactive engagement driven by real-time data.
Household visibility surfaces relevant opportunities.
Built-in KYC and audit trails reduce risk.
Agentforce handles repetitive tasks.
One data model eliminates duplicate records.
Einstein AI surfaces next-best actions.
An architecture that supports new products.
A regional retail bank replaced disconnected systems with FSC, unifying account and household data into a single Client 360 view - reducing onboarding time and improving cross-sell conversations.
A mid-sized carrier implemented Agentforce-powered claims intake, cutting manual document review for adjusters and shortening time to initial review.
A wealth management firm consolidated portfolios and goals into FSC, giving advisors AI-generated meeting summaries that reduced prep time.
A mortgage lender automated origination from application through KYC and document verification, shortening time to funding decision.
Illustrative examples representing typical outcomes achieved through FSC implementations of this type; individual results vary by institution, scope, and starting maturity.
| Feature | Traditional Banking CRM | Salesforce FSC |
|---|---|---|
| Customer view | Fragmented by product/department | Unified Client 360 |
| Household visibility | Manual or unavailable | Native household management |
| AI capabilities | Limited or none | Native Agentforce & Einstein AI |
| Onboarding | Manual, paper-heavy | Automated, guided, compliant |
| Compliance & audit | Bolt-on tools | Built-in Shield & audit trail |
| Integration | Custom, brittle point-to-point | MuleSoft-based architecture |
| Referral management | Spreadsheets or email | Native referral tracking |
| Complaint handling | Manual logging | Structured with audit trail |
| Reporting | Static reports | Real-time via CRM Analytics |
| Scalability | Limited, costly to extend | Built to scale with new products |
| Customer engagement | Reactive | Proactive, goal-based, AI-assisted |
| Time to implement change | Slow, IT-dependent | Configurable via Flow & OmniStudio |
AI agents that autonomously complete multi-step workflows like loan processing and claims handling.
AI-powered guidance that scales personalized advice beyond human capacity alone.
Models that anticipate customer needs before contact is initiated.
AI capabilities built into every workflow, not a separate tool.
Engagement shaped by real-time goals, behavior, and life stage.
A persistent, unified view across every channel and product line.
End-to-end processes that complete with minimal manual intervention.
Continuous, automated monitoring replacing periodic manual review.
Credit, risk, and service decisions made instantly using live data.
A Salesforce Financial Services Cloud consultant assesses your current systems, designs the financial services data model, configures Client 360, households, KYC, and industry workflows, integrates core banking and other systems, migrates data, trains your teams, and supports the platform after go-live.
Look for proven FSC delivery, regulatory fluency in KYC and AML, integration experience with core banking systems, Agentforce and Data Cloud capability, discovery-led scoping, and post-launch managed services. Ask for references from financial institutions similar to yours.
{{TIMELINE_FAQ_ANSWER}} Timelines depend on scope, number of users, integrations, and data migration. Kizzy Consulting confirms a timeline after a discovery assessment.
Salesforce prices Financial Services Cloud per user, per month, by edition, with add-ons for products such as Data Cloud and Agentforce. Implementation services are priced separately based on scope, integrations, and migration. Confirm current license prices on Salesforce's pricing page.
Yes. Agentforce agents can be configured within Financial Services Cloud for customer service, loan processing, claims intake, KYC checks, and advisor support, grounded in Data Cloud and with human approval steps for regulated decisions.
Yes. Kizzy Consulting works with banks, credit unions, mortgage lenders, insurance carriers, and wealth management firms in the USA and Australia.
Talk to a Salesforce Financial Services Cloud consultant about your accounts, compliance requirements, and AI roadmap.
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