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Automation

AI automation that reduced onboarding time by 78%

Designed a multi-step agent workflow to handle customer onboarding tasks, dramatically reducing manual effort and improving accuracy.

Client

B2B SaaS Platform

Industry

Enterprise Software

Duration

3 months

Impact

78% reduction in onboarding time

The Challenge

The client's onboarding process required manual data collection, validation, and system configuration across multiple platforms. Each new customer took 8-10 hours of staff time, creating bottlenecks as they scaled. Errors in manual data entry led to delays and support tickets.

Our Solution

Built a multi-agent AI system that orchestrates the entire onboarding workflow, from initial data collection through system provisioning.

Implemented intelligent form processing with validation and error checking, reducing data entry mistakes by 95%.

Created automated integrations with downstream systems (CRM, billing, support ticketing) to eliminate manual handoffs.

Developed a monitoring dashboard showing onboarding status in real-time with automated alerts for exceptions.

Added self-service capabilities for customers to track their onboarding progress and provide additional information as needed.

Results & Impact

Onboarding time reduced from 8-10 hours to under 2 hours per customer

95% reduction in data entry errors

Customer satisfaction scores improved by 40% due to faster time-to-value

Staff freed up to focus on high-value customer success activities

System handles 5x more onboarding volume without additional headcount

Technology Stack

Python
LangChain
OpenAI GPT-4
PostgreSQL
FastAPI
React
Temporal
"The AI onboarding system transformed our operations. We can now scale our customer base without scaling our onboarding team proportionally."

Sarah Chen

VP of Customer Success

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