How Wander cut data reporting time from hours to seconds

Wander's business and operations teams relied on the data engineering team for every data request. Every question, from reservation counts to property revenue, went through a single Slack channel directed at the data engineering team.

• Engineers handled every request personally, writing SQL queries and formatting results
• Each request took 1 to 2 hours to fulfill
• Talented engineers were pulled into ad-hoc queries when they could have been focused on long-term data infrastructure
• The team saw an opportunity to make decision-making even faster across the business

Wander deployed Adapt directly into Slack, connected to their data models and internal systems. Now anyone on the team can tag Adapt in a thread and ask a question in plain English.

• Adapt parses natural language questions and understands Wander-specific business metrics
• Queries run autonomously against live data models and return results with charts and summaries
• Conversational follow-ups let users drill down in the same thread
• No SQL or dashboard expertise required, and engineering stays focused on what matters most

What previously required an engineer and an hour now happens in 10 to 15 seconds. The data engineering team is focused on building infrastructure, not answering ad-hoc questions.

• Data inquiries resolved in approximately 10 to 15 seconds, down from 1 to 2 hours
• Business and operations staff independently access data without any technical knowledge
• Common requests (reservation counts, property revenue, operational issues) handled automatically
• Engineering team fully freed up to focus on long-term data infrastructure

Wander's CTO started the pilot with a small group in September 2025. Within seven months, Adapt had spread to every department. Over 140 team members now use it daily across operations, owner relations, sales, and engineering. The team has sent more than 590,000 messages, with usage growing every month. Wander replaced their previous AI tools entirely and consolidated on Adapt as their single platform for AI across the business.

• Adoption grew 20x, from 7 users at launch to over 140 across every department
• Teams build custom Adapt apps for owner relations workflows, brand guidelines, and internal tooling
• Monthly message volume grew over 100x as new teams discovered use cases beyond data access
• Wander consolidated from multiple AI tools to Adapt as their single company-wide platform