02 / SALESFORCE & AGENTFORCE
Make Salesforce easier to trust, use, and extend.
Whether the platform needs improvement or you are evaluating Agentforce, the foundation is the same: reliable data, clean processes, and an adoption plan designed from the start.
WHERE CLIENTS GET STUCK
- —Data quality problems that undermine rep confidence and reporting accuracy
- —Automation gaps that force manual steps, workarounds, and duplicate entry
- —Agentforce evaluation without a realistic view of integration and grounding cost
- —Customization debt from years of added fields and disconnected flows
- —Adoption gaps where the team has reverted to spreadsheets or email
CAPABILITIES
Sales Cloud & Service Cloud
Process design, data modeling, page layouts, validation rules, and automation that supports the way the team actually works.
Agentforce implementation
Agent design grounded in reliable CRM data, with clear handoff criteria, cost controls, and oversight at decision points.
Flow and Apex development
Declarative automation where flow supports it. Apex where complexity requires it. No unnecessary code debt.
Integration and data
Connect Salesforce to external systems, clean up data quality issues, and establish reliable feeds for reporting and agents.
Adoption and enablement
Training, documentation, and ongoing support designed around the specific configuration and the team using it.
SALESFORCE OPERATING ARCHITECTURE
Every layer needs to work together.
Pages, flows, and interfaces the team interacts with daily
Agentforce agents with scoped topics, defined handoff, and grounded instructions
Apex actions, flow steps, and external service calls invoked by agents or automation
Automation logic and integration connectors passing data between systems
Object model, data quality, access controls, and external data sources
Human oversight points, audit logs, permission boundaries, and escalation paths
DELIVERY SEQUENCE
A decision at every stage.
Assessment
Document current configuration, identify data quality gaps, map process pain points and automation opportunities.
Architecture
Design the target state—data model, automation logic, agent scope, integration approach—with explicit decision points.
Build
Configuration, flow/apex development, integration work, and agent build in structured review cycles with visible progress.
Testing
User acceptance testing with real scenarios, edge-case review, and performance validation before cutover.
Adoption
Training, documentation, launch support, and a plan for measurement and ongoing improvement.
Bring the Salesforce problem.
A 30-minute call is enough to understand the configuration, identify the highest-priority gaps, and map a practical next step.