A top-tier Salesforce Consulting Partner operating across EMEA, specializing in enterprise CRM transformations, AI-enabled automation, and digital integrations.

Serving large B2B clients, they needed scalable delivery capacity without expanding internal headcount.

The partner faced increasing project demand but struggled with bandwidth, skill gaps, and unpredictable delivery timelines.

01. Capacity Limitations

• Lack of in-house Salesforce Architects and multi-cloud experts.
• Inability to take on new enterprise deals due to team overload.
• High dependency on freelancers causing delivery inconsistency.

02. AI Skills Gap

• Growing need for Einstein AI, predictive analytics & automation.
• Internal team not trained for advanced AI-led workflows.
• Risk of losing business to AI-capable competitors.

03. Delivery Delays & Quality Issues

• Long deployment cycles affected client satisfaction.
• Defect leakage increased due to limited QA bandwidth.
• No unified team structure or sprint discipline.

Twopir built a dedicated Salesforce + AI POD exclusively aligned to the partner’s brand and delivery framework.

Team Composition

• Salesforce Architect – Multi-cloud design & governance
• Delivery Lead / Scrum Master – Sprint management & KPIs
• Salesforce Developers – Apex, LWC, integrations
• AI Specialist / Data Engineer – Einstein, ML models, automation
• QA Engineer – Test automation & release certification

The POD operated as a white-label extension of the partner — using their Jira, Slack, DevOps, and communication protocols.

Twopir followed a structured, end-to-end delivery model ensuring speed, quality, and predictability.

Step 1: Assessment & Onboarding

• Reviewed pipeline, project load, skill gaps, and sprint health.
• Defined POD roles, governance, and white-label workflows.

Step 2: POD Integration

• Connected to Jira, Slack, Git, and CI/CD pipelines.
• Aligned sprint cadence, reporting, and story grooming.

Step 3: Delivery & Optimization

• Executed multi-cloud Salesforce projects with AI automation.
• Implemented QA automation and release checklists.
• Reduced cycle times using Twopir accelerators.

AI-Powered CRM Enhancements

Implemented Einstein AI for predictive scoring, forecasting, and automated insights.

End-to-End Salesforce Implementations

Delivered Sales Cloud, Service Cloud, and Experience Cloud using standardized DevOps pipelines.

Integration & Data Migration

Built secure integrations and executed large-scale migrations with validation frameworks.

QA Automation & Governance

Reduced deployment defects with automated scripts and regression cycles.

White-Label Delivery

POD delivered invisibly behind partner’s brand.

58% Increase in Delivery Velocity

Faster sprint throughput enabled earlier go-live.

35% Reduction in Defect Leakage

QA automation improved release quality.

22–35% Higher Project Profitability

Predictable POD pricing boosted margins.

3 New Enterprise Retainers Won

Partner accelerated deal closures thanks to stronger delivery capacity.

Complete Brand Consistency

POD remained fully white-label.