Customers and use cases
How Organisations Put AI Employees to Work
These are representative scenarios based on common patterns we see across customer organisations — not endorsements from named customers.
Representative scenarios
Illustrative Use Cases by Function
Travel Planning Company
- Context
- A travel company handling a high volume of custom itinerary requests from individual and corporate travellers.
- Approach
- A Travel AI Employee drafts itineraries and budget estimates, applies travel policy, and captures lead details before handing qualified enquiries to human travel consultants.
- Outcome
- Faster first response and more consistent itinerary quality across all enquiries.
Enterprise HR Help Desk
- Context
- A large organisation with a shared-services HR team fielding thousands of policy and onboarding questions monthly.
- Approach
- An HR AI Employee answers routine policy and leave questions, guides onboarding, and escalates sensitive matters to human HR staff.
- Outcome
- Reduced repetitive query volume, freeing the HR team for higher-judgement work.
Internal IT Support
- Context
- A mid-sized company whose small IT team is overwhelmed by first-line technical requests.
- Approach
- An IT Support AI Employee resolves common issues, triages incidents by urgency, and escalates complex cases with full context attached.
- Outcome
- Faster first response times and better-prioritised escalations for engineers.
Sales Qualification Team
- Context
- A B2B software company receiving more inbound leads than its sales development team can qualify quickly.
- Approach
- A Sales AI Employee qualifies leads against defined criteria, prepares meeting briefs, and hands qualified leads to the CRM with full context.
- Outcome
- Faster lead response times and reps arriving better prepared to every call.
Finance Operations
- Context
- A finance team spending significant time on routine reporting and expense classification.
- Approach
- A Finance AI Employee generates summarised reports, classifies expenses, and explains budget variance, routing sensitive actions for approval.
- Outcome
- Faster turnaround on routine finance questions and more consistent expense classification.
Marketing Content Team
- Context
- A marketing team unable to keep pace with content demand across channels.
- Approach
- A Marketing AI Employee drafts first-pass content, researches audience segments, and summarises campaign performance for the team to refine.
- Outcome
- Faster first drafts and more consistent brand voice across channels.
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