Tech • IA • Crypto
How Arrive keeps people—and business—moving with Google AI
7/10TL;DR
Arrive is deploying Google Workspace Gemini and custom AI agents to cut project start times by 60%, shrink redundant work by 15–20%, and accelerate sales processes from a week to hours.
KEY POINTS
Global parking platform scales AI adoption
Arrive, focused on making cities more livable by simplifying parking, operates in 20,000 cities across 90 countries and serves more than 65 million users. The company is embedding AI across workflows to reclaim time for both customers and employees.
Gemini transforms daily knowledge work
Integration of Gemini into Google Workspace enables rapid retrieval and synthesis of historical communications. Tasks like drafting partner emails now pull multi-year context in minutes, significantly compressing turnaround times for routine but critical communications.
Custom agent “Arya” accelerates sales
The firm’s in-house agent, Arya, built with Google AI tools, streamlines responses to RFPs. What previously took about one week can now be completed in 4 to 6 hours, with automated synthesis and recommendations guiding submissions.
Enterprise agents reduce system friction
Adoption of the Gemini Enterprise agent platform minimized the need for custom builds, relying instead on configuration and connectors. Employees can search, update, and create across multiple systems without switching contexts, improving productivity.
Post-acquisition integration prioritized
Following two major acquisitions, Arrive is unifying product lines under a single sales motion. AI agents help consolidate data and messaging, enabling faster cross-selling and more consistent go-to-market execution.
Measured gains in speed and efficiency
The company tracks three core KPIs: 60% reduction in time to initiate projects, 15–20% decrease in redundant employee work, and improved decision quality driven by better data access and synthesis.
Onboarding and data access improved
AI-driven workflows are simplifying onboarding and enhancing data accessibility, allowing teams to reach productivity faster while maintaining a single, coherent workspace for collaboration.
CONCLUSION
Arrive’s deployment of Gemini and agent-based automation demonstrates measurable gains in speed, efficiency, and decision-making, signaling a broader shift toward AI-driven operations in urban mobility services.