SALESFORCE / AGENTFORCE / CONNECTED DATA

Build the agent. Connect the 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.

A CONNECTED ENGINEERING APPROACH
Agentforce
SalesforceData 360Databricks

The demo is a beginning.
Delivery is the work.

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.

01

Agentforce architecture & engineering

Scope the use case, design actions and integration boundaries, and build agent experiences with evaluation and human escalation points.

Use-case & architecture reviewAgent configuration & actionsTesting & human handoffs
02

Data 360 & Databricks

Assess how CRM, knowledge and operational data should connect. Work through data quality, access and integration, including Zero Copy patterns where technically suitable.

Source & access assessmentData preparation & integrationZero Copy architecture assessment
03

Salesforce implementation & integration

Build a practical platform foundation around business requirements. Connect relevant applications and data with responsibilities for quality, access and ongoing operation made explicit.

Configuration & process designBusiness-system integrationData migration planning
04

Recovery & ongoing improvement

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.

Implementation diagnosisScoped recoveryOperational support & refinement

PROBLEMS WORTH SOLVING

Fix the foundation.
Improve the experience.

Illustrative situations, not claims of client results. Feasibility depends on your system, permissions and agreed scope.

01

An agent cannot find the right information

Check source coverage, retrieval, data quality and permissions rather than adding prompts to a context problem.

02

CRM and operational data do not connect

Assess the integration path across Salesforce, Data 360, Databricks and other systems, with ownership and access in view.

03

A pilot lacks a clear production handover

Define representative evaluation, exception paths and operational responsibilities before expanding use.

OUR DIFFERENTIATOR

Agent engineering.
Data engineering.
One delivery conversation.

We pair hands-on implementation with the architecture and data work behind it. That helps reduce fragmented responsibilities and makes acceptance and ownership clearer.

  • Understand the workflow before choosing the implementation
  • Connect sources and controls alongside the agent build
  • Review evidence, exceptions and handover with your team
Explore the engagement options
Salesforce, Agentforce and Data 360 are trademarks of Salesforce, Inc. Databricks is a trademark of Databricks, Inc. These service descriptions do not imply vendor partnership, certification or endorsement.

YOUR NEXT PROJECT

A real problem.
A practical next step.

Tell us what is blocking progress.
Let's find a practical engineering next step.

Discuss your projectStart by emailing info@highcloud.ai.