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Customer story

VanOnGo × SerenityGPT

How VanOnGo internal technical teams ship faster with an AI-native knowledge layer.

Teams

Product, Engineering, Operations, Customer Success

Primary use cases

Ground truth knowledge, impact analysis, incident assistance, AI front door

Overview

VanOnGo wanted a single, reliable way for Product, Engineering, and Operations to find answers, assess impact, and resolve incidents without constant interrupt driven handoffs.

SerenityGPT became the AI front door to company knowledge by connecting to Jira and Confluence and returning grounded answers that link back to the source.

Tetina Mudruk, VanOnGo

Tetina Mudruk, Lead Product Owner, VanOnGo

With Serenity GPT, we gained fast, seamless access to our company's knowledge database and dramatically reduced the time required to resolve support issues.

The challenge

VanOnGo teams were slowed down by fragmented information and escalation overload.

  • Escalation overload. Customer Success pushed many repeatable questions to Product which reduced engineering focus on roadmap work.

  • Fragmented knowledge. Instructions, "how to" guides, Jira, and Confluence sometimes conflicted which made it hard to know what was current or authoritative.

  • Incident friction. Dispatchers and logistics managers struggled to diagnose solver issues quickly and apply known fixes.

  • Slow impact analysis. Grooming, dependency mapping, and effort estimates across Jira and Confluence took too long.

What SerenityGPT does for VanOnGo

Ground truth knowledge layer

SerenityGPT reconciles conflicting records by prioritizing the most recent or properly labeled items so teams can trust a single source of truth across instructions, "how to" guides, Jira, and Confluence.

Impact analysis for Product and Engineering

When new requirements appear, SerenityGPT surfaces related work, estimates how many items will be affected, and creates or links the right Jira issues which reduces manual triage and dependency chasing.

Solver incident root cause assistance for Dispatch and Ops

A curated knowledge base maps common solver failure modes to proven resolutions. SerenityGPT suggests likely causes and concrete next steps during incidents which shortens time to resolution.

AI front door for Customer Success

Customer Success checks SerenityGPT first. Only unresolved items escalate to Product and the escalation carries full context. This removes repetitive "how do I" questions from engineers and keeps answers consistent.

Andrey Golubinskiy, VanOnGo

Aleksey Denysyuk, Co-Founder and Chief of Strategy and Data, VanOnGo

SerenityGPT enabled us to create an LLM layer for our knowledge base and centralize the management of all data sources.

Outcomes for internal technical teams

  • Fewer interrupts for engineers through a Customer Success first AI channel that cites real documentation.

  • Faster planning through automated impact discovery and Jira linking.

  • Quicker incident resolution through a solver playbook that proposes fixes in context.

  • Consistent answers thanks to conflict aware retrieval over Jira, Confluence, and "how to" guides.

What is next

VanOnGo plans to extend the same approach to the Driver app for in app guidance on new features and to Sales for autogenerated offer drafts by pulling relevant examples and templates from SharePoint or a CRM.

About VanOnGo

VanOnGo is a dynamic startup revolutionizing delivery orchestration with an innovative SaaS platform. Their solution enhances last mile and in field services through advanced robotic process automation.

By leveraging AI and Quantum Computing, VanOnGo digitalizes operations, prioritizes customer centrism, and reduces delivery operation costs by 10-20 percent, offering efficient and intelligent service management solutions. VanOnGo empowers logistics dispatchers to handle up to 10× more orders than the industry average today.

Target customers include logistics companies, retailers and brands with in house or external fleets, and various service companies. VanOnGo supports diverse segments such as DIY, construction zone deliveries, tiles and building materials, doors and windows, big and bulky items, ecommerce, white home appliances, grocery deliveries, flowers, books, fashion, luxury goods, automotive parts, tires, medicine, gifts, and laundry.

Services extend beyond delivery orchestration to companies in fields like facility management, garbage collection, cleaning services, and solar panel maintenance. The platform is designed to meet the unique needs of each industry, supporting efficient planning and scheduling for in field visits.