Scripted bots lacked backend access, forcing manual GPS fixes. Now, an API-connected AI instantly closes rides and diagnoses root causes.
An urban micromobility operator providing scooter rentals across 400 cities and 20 countries, managing approximately two million customer contacts per year.
A legacy scripted chatbot could only automate a third of ticket resolutions, leaving requests to human agents who took up to six hours to respond....
“When your ride is done, you want it to be done. Not in five minutes, not in thirty seconds, immediately.”
Shared electric scooter and bike micromobility platform for urban transportation.
AI customer service automation platform for messaging, voice, and email.
Dott's Customer support is part of this use case:
Related implementations across industries and use cases
A legacy bot passed 50% of chats to staff. Now, AI agents connect 62 databases to resolve 87% of inquiries autonomously.
Riders faced 40-minute waits as agents juggled four chats. AI now resolves issues in seconds, freeing humans for sensitive cases.
Every new support agent meant months of engineering handoffs. Now the people closest to customers build and ship their own.
Routine changes buried staff as requests hit 500k. Agents now handle rescheduling and internal support, leaving complex cases to humans.
Complex disputes required manual tracing. AI agents now autonomously plan and execute multi-step payment investigations.
Fragmented support caused frustrating handoffs. Live AI translation now lets a small English-speaking team handle 14 languages instantly.
Each new agent took 8 weeks to ship reliably. A factory framework cut that to days, freeing people for the relationship work AI can't do.
Data siloed across five products, no shared identity. A unified ID and AI trained on slang now complete cancellations inside the chat.
Agents summarized every call by hand and memorized talk scripts. Voice-to-text and real-time screen pops cut after-call work by 80%.
Scripted bots lacked backend access, forcing manual GPS fixes. Now, an API-connected AI instantly closes rides and diagnoses root causes.
An urban micromobility operator providing scooter rentals across 400 cities and 20 countries, managing approximately two million customer contacts per year.
A legacy scripted chatbot could only automate a third of ticket resolutions, leaving requests to human agents who took up to six hours to respond....
“When your ride is done, you want it to be done. Not in five minutes, not in thirty seconds, immediately.”
Shared electric scooter and bike micromobility platform for urban transportation.
AI customer service automation platform for messaging, voice, and email.
Dott's Customer support is part of this use case:
Related implementations across industries and use cases
A legacy bot passed 50% of chats to staff. Now, AI agents connect 62 databases to resolve 87% of inquiries autonomously.
Riders faced 40-minute waits as agents juggled four chats. AI now resolves issues in seconds, freeing humans for sensitive cases.
Every new support agent meant months of engineering handoffs. Now the people closest to customers build and ship their own.
Routine changes buried staff as requests hit 500k. Agents now handle rescheduling and internal support, leaving complex cases to humans.
Complex disputes required manual tracing. AI agents now autonomously plan and execute multi-step payment investigations.
Fragmented support caused frustrating handoffs. Live AI translation now lets a small English-speaking team handle 14 languages instantly.
Each new agent took 8 weeks to ship reliably. A factory framework cut that to days, freeing people for the relationship work AI can't do.
Data siloed across five products, no shared identity. A unified ID and AI trained on slang now complete cancellations inside the chat.
Agents summarized every call by hand and memorized talk scripts. Voice-to-text and real-time screen pops cut after-call work by 80%.