Salesforce Agentforce Implementation & Consulting Built to Earn Real Trust
A Salesforce Agentforce implementation only works if the agent knows what it doesn’t know. Avion Technology designs, builds, tests, and deploys Agentforce agents grounded in your real CRM and Data Cloud data, scoped with clear topics and actions, and tested before they ever talk to a real customer or employee.
We build agents that know what they don’t know. Scoped topics, grounded data, guardrails, and testing engineered by people who understand both the Salesforce platform and how to build AI systems responsibly, not just a demo that looks good once.
Agentforce Services Avion Technology Delivers
We provide end-to-end Agentforce services from initial strategy through configuration, development, testing, and long-term support.
Agentforce Consulting & Use Case Strategy
- What it is: Identifying the highest-value, lowest-risk use cases for your business and designing an implementation roadmap.
- Benefits: A clear, realistic plan instead of guessing where AI agents will actually help.
- Ideal for: Businesses evaluating Agentforce or unsure where to start.
- Expected outcome: A prioritized use case roadmap and solution design.
Agentforce for Service Implementation
- What it is: Building service agents that resolve customer cases, answer questions, and escalate appropriately.
- Benefits: Faster case resolution and reduced load on your human service team.
- Ideal for: Service teams with high volumes of repetitive case types.
- Expected outcome: A deployed service agent handling real cases with clear escalation paths.
Agentforce for Sales Implementation
- What it is: Building sales agents that qualify leads, conduct research, and support reps.
- Benefits: Less manual research and qualification work, more time for reps to sell.
- Ideal for: Sales teams with high lead volume or repetitive qualification steps.
- Expected outcome: A deployed sales agent integrated into your existing pipeline.
Custom Employee & Internal Agents
- What it is: Building agents for internal use cases — HR requests, IT support, operational lookups, and approvals.
- Benefits: Reduced manual workload on internal teams for routine, repetitive requests.
- Ideal for: Businesses with internal processes that eat up staff time unnecessarily.
- Expected outcome: A working internal agent handling defined employee workflows.
Topic & Action Design
- What it is: Scoping your agent’s topics and building the specific actions it needs to perform.
- Benefits: An agent that stays focused and capable within a well-defined scope.
- Ideal for: Any Agentforce deployment, since this is the foundation of reliable behavior.
- Expected outcome: Clearly scoped topics with working, tested actions.
Data Cloud Grounding & Integration
- What it is: Connecting your agent to Data Cloud, CRM data, and Knowledge articles for accurate responses.
- Benefits: Answers based on real, current data instead of guesses or stale information.
- Ideal for: Businesses whose data lives across multiple sources or systems.
- Expected outcome: An agent grounded in a unified, trustworthy data foundation.
Flow & Apex Action Development
- What it is: Building custom automation the agent can trigger to actually complete tasks.
- Benefits: An agent that does real work, not just answers questions about it.
- Ideal for: Use cases requiring the agent to update records or trigger processes.
- Expected outcome: Working, tested actions the agent can reliably invoke.
Guardrails, Permissions & Trust Configuration
- What it is: Configuring the Einstein Trust Layer, permission sets, and action boundaries.
- Benefits: Confidence that the agent can’t exceed its intended authority.
- Ideal for: Any business deploying agents with access to sensitive data or actions.
- Expected outcome: A governed agent with clear, enforced boundaries.
Testing & Quality Assurance
- What it is: Testing agents in the Agentforce Testing Center against realistic conversations and edge cases.
- Benefits: Fewer surprises and failures once the agent is live with real users.
- Ideal for: Any agent before it reaches real customers or employees.
- Expected outcome: A validated agent with documented test coverage.
Agentforce Rescue & Optimization
- What it is: Assessing and rebuilding an underperforming or poorly scoped existing agent.
- Benefits: A working, trustworthy agent without abandoning a stalled pilot entirely.
- Ideal for: Businesses with a live agent that’s giving poor results or was rushed to deploy.
- Expected outcome: A properly scoped, grounded, and tested agent rebuild.
Multi-Agent & Orchestration Design
- What it is: Designing how multiple agents (service, sales, internal) work together without conflicting.
- Benefits: A coherent AI strategy across departments instead of siloed, conflicting agents.
- Ideal for: Businesses deploying Agentforce across more than one team or use case.
- Expected outcome: A coordinated multi-agent architecture.
Managed Services & Ongoing Refinement
- What it is: Monitoring real agent conversations and refining topics, actions, and instructions over time.
- Benefits: An agent that keeps improving instead of degrading as edge cases emerge.
- Ideal for: Businesses without dedicated in-house Agentforce resources.
- Expected outcome: A continuously monitored and improved agent.
Our Implementation Process
We follow a structured, transparent process so you always know what’s happening and what’s next.
Phases
What happens
Discovery & Use Case Selection
We identify the highest-value, lowest-risk use case to start with.
Topic & Scope Design
We define clear topic boundaries and the actions the agent will need.
Data Grounding
We connect and structure the Data Cloud and CRM data the agent relies on.
Action Development
We build the Flow and Apex actions that let the agent do real work.
Guardrails & Permissions
We configure the Einstein Trust Layer and permission boundaries.
Testing
We test the agent against realistic and edge-case conversations before launch.
Launch & Monitoring
We deploy the agent and monitor real conversations closely post-launch.
Ongoing Refinement
We continuously improve topics, actions, and instructions based on real usage.
What Your Business Gains With Agentforce From Avion Technology
Faster case and inquiry resolution
Agents that handle routine work instantly, 24/7
Reduced manual workload
For service, sales, and internal teams alike
Answers grounded in real data
Not guesses or outdated information
Confidence in what the agent can and can’t do
Guardrails that enforce real boundaries
Fewer surprises in production
Rigorous testing before real customers or employees interact with it
A safe fallback to humans
Clear escalation instead of an agent pretending to know everything
An agent that improves over time
Ongoing monitoring and refinement, not a set-
and-forget deployment
A realistic, honest rollout
We tell you what’s ready to deploy and what isn’t yet
Why Avion Technology
19+
Years of Experience
1.9k+
Projects Completed
500+
Clients Satisfied
40+
Technology Experts
“We configure the specific modules and capabilities that match your operations, not a one-size-fits-all setup.”
DynamicsCon 2025 is this incredible event, where the Microsoft Dynamics 365, Dynamics GP, and Power Platform communities come together for a truly educational, engaging and unforgettable experience.
~ DynamicsCon 2025
FAQs
Your Agentforce Questions, Answered
Yes. Avion Technology designs, builds, tests, and deploys Salesforce Agentforce agents for our clients, handling the full lifecycle from use case selection through post-launch monitoring.
We scope precise topics, ground the agent in real data, build the actions it needs to take real action, configure guardrails, and test thoroughly, rather than turning on a default agent and hoping
it performs.
Traditional chatbots typically follow scripted decision trees. Agentforce agents use generative AI grounded in your CRM and Data Cloud data to understand intent and take autonomous actions, within the boundaries we configure.
Yes. We regularly assess underperforming agents, identify what’s causing poor results, typically scope or grounding issues, and rebuild the agent properly.
Agent Builder is the environment within Salesforce where topics, instructions, and actions are configured to define how an agent behaves and what it can do.
Topics define the bounded areas an agent is responsible for handling. Actions are the specific tasks, like looking up a record or triggering a Flow, that the agent can perform within a topic.
We configure permission sets and action-level boundaries so the agent can only perform explicitly authorized actions, and we use the Einstein Trust Layer to govern data access.
The Einstein Trust Layer is Salesforce’s governance
layer for AI, including data masking and audit capabilities that help protect sensitive information used by agents.
They can do both. We build Flow and Apex actions specifically so agents can complete real tasks, like
updating a case or creating a record, not just provide information.
Data Cloud unifies customer data from multiple sources into a single, real-time profile that grounds the agent’s responses, which is why properly configured Data Cloud integration matters for accuracy.
Phone
+1 (224) 209-9860Address
1600 McConnor Parkway,
Suite 125, Schaumburg, IL 60173
Schedule a free consultation
Phone
+1 (224) 209-9860Address
1600 McConnor Parkway,
Suite 125, Schaumburg, IL 60173