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.

Source

GCPEvidence: Medium50/100

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

Use case typeM&A transitionUpdated Jul 11, 2026

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

Development time: 2 weeks

Time & speed

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Development time: 2 weeks decrease

Google Cloud Customer StoriesJul 11, 2026Customer storyExplicit claimMedium evidence strength

The resulting intelligent agent, known as Aria, was developed in just two weeks.

Normalized claim

Proposal process time: 93.3% decrease

Google Cloud Customer StoriesJul 11, 2026Customer storyInferred claimMedium evidence strength

In the past, a similar process would have taken up to four hours.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Arrive
Provider: GCP
Maturity: Unknown
Linked source: Google Cloud Customer Stories

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 3 of 3

1M&A transition
2Workflow orchestration
3Onboarding automation

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

Evidence: Medium50/100Evidence strength