Transforming Service & Sales with Salesforce Agentforce
AI delivers real value only when it is trusted, governed, and aligned with business workflows. Our Salesforce Agentforce services help organisations design, deploy, and scale autonomous and assistive AI agents that work alongside teams to improve productivity, speed, and customer experience.
We believe AI agents should not replace people blindly. They should support teams by handling repetitive tasks, surfacing insights, and taking action within clearly defined boundaries.
Our consulting led approach ensures Salesforce Agentforce is implemented as a controlled, outcome driven AI capability, not just an experimental automation layer.
- Strategy Led Marketing Cloud Consulting
- Process clarity before agent autonomy
- Data trust before decision making
- Human oversight before full automation
- Security and compliance before scale
- Governance before expansion
- Enablement before dependency
- Measurement before optimisation
Autonomous AI, Built With Guardrails
Why Agentforce Implementations Fail
Agentforce is powerful, but many AI initiatives fail due to lack of structure and discipline.
Unclear AI Use Cases
Agents are deployed without clearly defined problems or success criteria.
Poor Data Readiness
Incomplete or inconsistent data leads to unreliable agent behaviour.
Over Automation Without Guardrails
Agents act without proper controls, approvals, or escalation paths.
Disconnected From Core Workflows
AI agents are not embedded into Sales, Service, or Marketing processes.
Lack of Trust and Adoption
Teams do not trust agent decisions due to poor transparency.
No Measurement of Impact
AI performance is not tracked against business outcomes.
Data and Context Design
We ensure agents operate on clean, relevant, and governed data.
Agent Configuration & Guardrails
We design approval flows, escalation rules, and human in the loop controls.
Governance & Risk Management
We implement auditability, access control, and compliance standards.
Frequently asked questions
Salesforce Agentforce is an AI agent platform that enables autonomous and assistive agents to perform tasks, make recommendations, and take action within Salesforce workflows.
It means starting with business use cases, risk controls, and data readiness before deploying AI agents, ensuring trust and measurable outcomes.
Yes. We assess, optimise, and scale existing AI and Agentforce implementations to improve reliability, governance, and impact.
Yes. Agentforce can be embedded across Salesforce Sales, Service, Marketing, and Data Cloud workflows.
We evaluate task volume, complexity, risk, and business impact to identify safe and valuable automation opportunities.
We design approval flows, escalation rules, human oversight, and audit trails to maintain control and accountability.
Data Cloud is not mandatory, but it significantly improves agent context, identity resolution, and real time activation.
Yes. We implement strict access controls, permissions, and data governance to ensure security and compliance.
Success is measured using productivity gains, error reduction, cycle time improvement, and business outcome KPIs.
Yes, within defined boundaries. We design agents to act autonomously only where risk is low and controls are in place.
Yes. Human oversight is a core part of our Agentforce implementation approach.
Timelines vary by use case, but most implementations are delivered in phases to ensure safe adoption.
Yes. We train teams to understand, monitor, and refine AI agent behaviour confidently.
Yes. When designed correctly, Agentforce scales across teams, processes, and use cases with governance intact.
Frontial combines AI consulting discipline with hands on Salesforce delivery, ensuring Agentforce drives trust, adoption, and real business impact.
