- Submission intake and document processing
- Status agents for policy, claims, and billing
- Document-discrepancy detection on submissions
- AI-assisted next-best-action across service and renewals
Home / Salesforce Value Optimization
Practice 02
Salesforce Value
Optimization
What we deliver.
overview
—Underwriting & new business, quote-to-bind digitization, underwriter workbench, broker portals
— Claims management — digital FNOL, automated triage, AI-assisted severity and fraud detection
— Omnichannel customer service & self-service — Service Cloud + Experience Cloud portals
New Salesforce Customers
what we hear
—”Lack of understanding”
—”Perceived as expensive”
—”Overbought / low utilization”
how we reposition
Existing Salesforce Customers
what we hear
—”Salesforce only viewed as CRM”
—”Pressure to show ROI”
—”How to extract more value / optimize licensing”
how we reposition
four capabilities
Capability 01
Data Cloud
Merge data from multiple admin systems and domains — Policy, Claims, Billing, Service — into a single 360° view of customer, policy, and book.
Why it matters
Where it shows up
Capability 02
Agentforce
Read and process submitted documents, provide submission/policy/claims status, identify document discrepancies — packaged AI agents that work the insurance value chain.
Why it matters
Where it shows up
Capability 03
Core (Sales / Service / FSC)
The system of work — underwriter workbench, general workflow, new business submission, renewal processing, agent onboarding.
Why it matters
Where it shows up
Capability 04
Experience Cloud
Customer-facing surfaces — Agent Portal, Customer Portal, Premium Audit, FNOL — that fix the disparate-CX problem.
Why it matters
Where it shows up
across the value chain
01
Underwriting & New Business
02
Claims Management
Digital FNOL through settlement. Service Cloud orchestration, AI-assisted severity and fraud detection, proactive customer updates.
03
Producer Onboarding
04
05
Front-end for endorsements and changes, integrated to core admin. Single audit trail across multiple back-end systems.
06
360° service console across phone, email, chat, and social. Einstein next-best-response and knowledge surfacing.
07
08
07
08
09
10
delivery
How we build it.
phase 01
Discovery sprints to understand business needs, user pain points, and technical constraints. Output: validated product concept, technical feasibility analysis against Salesforce limits, roadmap with measurable KPIs.
phase 02
Set up environments (Dev, Sandbox, Scratch Orgs), version control with Git, CI/CD via DevOps Center / Copado / Gearset / AutoRABIT. Define metadata movement, development model, and roles. Compliance: data masking, audit logging, field-level encryption.
phase 03
Data model design for performance and flexibility. Security: MFA, encryption, masking. Access control via role hierarchy and permission sets. Automation strategy across Flow and Apex.
phase 04
Data model design for performance and flexibility. Security: MFA, encryption, masking. Access control via role hierarchy and permission sets. Automation strategy across Flow and Apex.
phase 05
Rollback planning and backups. Change sets, unlocked packages, or CI/CD-managed releases. Pre-deployment validation, smoke testing, performance verification, full release notes.
phase 07
Adoption metrics, friction monitoring, edge-case remediation, feature-request triage. Agile continues — the system evolves with business needs and Salesforce releases.
approach
How we work.
Managed Service model
Next Practice
Transformation Assurance
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