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AI, Data & Analytics

Salesforce's native AI and data capabilities are powerful, but they require deliberate architecture to deliver real value. We cover the full spectrum — from autonomous agent deployment and predictive modeling to data unification and embedded analytics.

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Overview

Salesforce's native AI and data capabilities are powerful, but they require deliberate architecture to deliver real value. This service group covers the full spectrum of intelligence work within the Salesforce platform — from autonomous agent deployment and predictive modelling with defined guardrails to data unification and embedded analytics. Each engagement is led by architects who understand both the technical constraints and the operational context these tools need to work within.

Whether you're activating Data Cloud for the first time, deploying Agentforce agents into a live service workflow, or replacing disconnected reporting with embedded Tableau dashboards, the work is scoped precisely and built to last. No black-box implementations, no over-engineered solutions that require a dedicated team to maintain.

Includes: Data Cloud Setup & Identity Resolution, Agentforce & AI Agent Development, Einstein AI & Predictive Analytics, Tableau BI & Data Visualization

What We Do

  • Design and deploy Agentforce agents with defined action sets, permission-aware guardrails, human-in-the-loop escalation logic, and production monitoring for sales and service use cases
  • Configure Einstein predictive lead and opportunity scoring models calibrated against your actual historical data, not default templates
  • Implement automated activity capture and surface actionable signals directly within the rep workflow
  • Architect Data Cloud ingestion pipelines, define identity resolution rules, apply data governance and consent constraints, and establish a unified Golden Record across fragmented source systems
  • Build real-time data activation segments and connect them to marketing, service, and sales execution layers
  • Design Tableau dashboards and embed them natively into Salesforce records, app pages, and experience sites for in-context decision-making

What to Expect

Engagements begin with a scoping session to assess your current data landscape, existing Salesforce configuration, and the specific outcomes you're trying to drive. From there, work proceeds in defined phases with clear deliverables at each stage. You'll have direct access to the architect doing the work — not a project manager relaying status updates. Timelines and scope are set honestly based on what your environment actually requires, and documentation is included as a standard output, not an afterthought.

Client Benefits

  • AI agents and predictive models that are grounded in your data with clear accountability, governance, and operational oversight and tuned to your actual business processes, not generic out-of-the-box configurations
  • A unified customer record that eliminates duplicate data problems and gives every downstream system a reliable source of truth
  • Faster, more confident decisions at the point of action — with analytics embedded where work happens rather than buried in separate tools
  • Reduced manual overhead in sales and service workflows through targeted automation that handles well-defined, repeatable tasks
  • Architecture that scales without requiring a full rebuild — built with your growth trajectory and integration surface in mind from the start

When to Choose This

This service group is the right fit when your organization has reached a point where raw CRM data isn't translating into operational advantage — when reps are ignoring Einstein scores because they don't trust them, when customer data lives in five systems with no authoritative record, when leadership is making decisions off stale spreadsheet exports, or when you're evaluating Agentforce but need someone to assess feasibility, define guardrails, and build it correctly the first time.