End-to-End AI-Driven Salesforce Solutions

Together, Pashtek (deep Salesforce implementation expertise) and GCOM Infotech (data engineering, analytics, and large-scale digital transformation) deliver platforms that are secure, governed, and ready for the enterprise.

Pashtek

Salesforce Implementation

GCOM Infotech

Data Engineering & Analytics

Einstein 1 Platform + Data Cloud

Unify customer data from CRM, ERP, web, apps, and external systems into a single, real-time profile that drives predictive, generative, and agentic AI use cases.

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AI Cloud & GPT Features

Deploy Sales GPT, Service GPT, Marketing GPT, and Commerce GPT to automate content, recommendations, next-best actions, and analytics across every cloud.

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Agentforce AI Agents

Build domain-specific AI agents that take real actions — updating records, creating tasks, responding to customers, and orchestrating workflows.

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Trust, Security & Governance

Enterprise-grade security with data classification, RBAC, masking, audit trails, and human-in-the-loop controls for regulated industries.

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Capabilities

Full-Stack Salesforce AI Expertise

Data Cloud & Einstein 1

Build a unified, real-time customer data foundation (CDP) that feeds AI across Salesforce clouds.

  • Connect CRM, ERP, web, and external systems for 360° customer view
  • Power predictive and generative AI with trusted, governed data
  • Real-time identity resolution and unified profiles
Use Case Catalog

Practical, Measurable AI Use Cases

What it does, who uses it, what data it needs, and how value is measured — grouped by cloud with a common Data Cloud foundation.
Cross-Cloud Foundation
Customer 360 Profile

Unify individuals/accounts across CRM + ERP + digital

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Real-Time Segmentation

Segments based on behavior, intent, lifecycle stage.

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Golden Record & DQ

Governed master data with alerts and remediation

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Consent Management

Consistent consent enforcement across channels

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Sales Cloud Use Cases
Opportunity Auto-Summary

Generate concise deal briefs with stage, risks, next steps

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Call Prep & Follow-Up

Agenda, talking points, follow-up email, task creation.

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Lead Qualification Agent

Score, enrich, route, and create first-touch activities.

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Next-Best-Action

Recommend plays: schedule demo, loop in SE, send case study.

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Pipeline Risk Detection

Flags risk based on inactivity, sentiment, competitor

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Quote-to-Order Assist

Explain pricing/discount policy; propose bundles and approvals

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Plus 20+ more use cases for Service, Marketing, Commerce, and Industry Clouds

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Delivery Approach

Phased Rollout Model

A proven methodology that balances quick wins with sustainable, scalable AI adoption.
Phase 0

Readiness
2–4 weeks
Data + Security + Use-case selection

Use case workshop

Data discovery

Security assessment

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Phase 1

Foundation
4–8 weeks
Data Cloud, identity, governance, MVP copilots

Data Cloud setup

Identity resolution

First copilots

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Phase 2

Use Cases
6–12 weeks
Top 3–6 use cases by cloud

Agentforce agents

Integration build

User training

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Phase 3

Scale
Ongoing
More agents, optimization, CoE + managed services

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Performance tuning

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