What challenges did Arrive face before AI implementation?

Post-merger information silos across three HR systems, CRM platforms, and messaging systems made it hard to operate as a unified enterprise. Manual lookup slowed RFP and proposal processes and onboarding across acquired businesses.

What was the impact of the AI solution?

Aria was developed in two weeks. A similar proposal process that previously took up to four hours can now be completed in minutes. Onboarding improved and new team members became productive more quickly.

Rank#454of 3,107

Source

GCP

Arrive builds Gemini AI orchestration layer for post-merger integration with faster onboarding and proposals

Use case typeM&A transitionUpdated 2 days ago

Arrive, a global mobility company, used Gemini Enterprise and Gemini Enterprise Agent Platform with Agent Search to build an AI-driven orchestration layer across siloed HR, CRM, and messaging systems after multiple M&A activities. The agent, Aria, queries live backend sources and returns grounded answers through a single conversational interface, with prompt engineering and automated logging plus employee feedback used to tune performance as new systems are added.

Organization: Arrive
Industry: Other
Location: United States
Published: July 2026

Reported outcomes

2 weeks

development timeTime & speed

−93.3%proposal process time

Strategic outcomes

Speed & agilityProposal and RFP work became smoother and fasterEmployee experienceOnboarding improved and new team members became productive more quicklyCost efficiencyUnified access to information across fragmented systems

Primary read

Use case focus

Showing 3 of 3

1M&A transition
2Workflow orchestration
3Onboarding automation

Post-merger information silos across three HR systems, CRM platforms, and messaging systems made it hard to operate as a unified enterprise.
Manual lookup slowed RFP and proposal processes and onboarding across acquired businesses.

Partnered with Google Cloud to create a single AI layer using Gemini Enterprise.
Used Gemini Enterprise Agent Platform, Gemini, and Agent Search to query verified internal sources and deliver grounded responses from multiple systems.
Applied prompt engineering to handle inconsistent HR schemas and used logging and employee feedback for ongoing refinement.

Technologies

Gemini Enterprise Gemini Enterprise Agent Platform Gemini Agent Search Google Maps

Aria was developed in two weeks.
A similar proposal process that previously took up to four hours can now be completed in minutes.
Onboarding improved and new team members became productive more quickly.

Architecture

Arrive partnered with Google Cloud to build an AI-driven orchestration layer using Gemini Enterprise and Gemini Enterprise Agent Platform. The system, Aria, sits across siloed HR, CRM, and messaging systems, queries live backend sources, and uses Agent Search to ground answers in verified internal data. Prompt engineering was used to cope with inconsistent HR schemas, and automated logging plus employee feedback support ongoing refinement as new systems are added.

Sources & evidence1

Groundedness: 5/5Type: Customer StoryPublished: Jul 11, 2026Publisher: Google CloudEvidence: PrimaryConfidence: High

Primary source

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Customer evidence