Agentforce architecture & engineering
Scope the use case, design actions and integration boundaries, and build agent experiences with evaluation and human escalation points.
SALESFORCE / AGENTFORCE / CONNECTED DATA
An agent needs more than a prompt. It needs useful context, appropriate access, working integrations and evaluation. We bring Salesforce, Agentforce and data engineering into one delivery approach.
Use the architecture your problem needs. We address the agent, its data and the operating workflow together rather than treating each as an isolated handoff.
Scope the use case, design actions and integration boundaries, and build agent experiences with evaluation and human escalation points.
Assess how CRM, knowledge and operational data should connect. Work through data quality, access and integration, including Zero Copy patterns where technically suitable.
Build a practical platform foundation around business requirements. Connect relevant applications and data with responsibilities for quality, access and ongoing operation made explicit.
Review stalled or fragile implementations, agree the next scope and support the solution as the environment changes. Treat adoption and handover as part of delivery.
PROBLEMS WORTH SOLVING
Illustrative situations, not claims of client results. Feasibility depends on your system, permissions and agreed scope.
Check source coverage, retrieval, data quality and permissions rather than adding prompts to a context problem.
Assess the integration path across Salesforce, Data 360, Databricks and other systems, with ownership and access in view.
Define representative evaluation, exception paths and operational responsibilities before expanding use.
OUR DIFFERENTIATOR
We pair hands-on implementation with the architecture and data work behind it. That helps reduce fragmented responsibilities and makes acceptance and ownership clearer.
YOUR NEXT PROJECT
Tell us what is blocking progress.
Let's find a practical engineering next step.