IHG and Evolve Warn on AI Scaling
At the Skift Data + AI Summit 2026, a session titled 'The Scaling Decision Nobody Warned You About' featured Wei Manfredi, SVP AI and Architecture at IHG Hotels & Resorts, and Arun Nagarajan, Chief Product and Technology Officer at Evolve, moderated by Skift's Adriana Lee. Skift reports both argued that fundamentals, infrastructure, clean data, and well-built APIs, matter more than flashy technology for making properties visible to AI agents, and that people and culture, not tools, are the harder part of scaling. Skift reports Evolve skipped a traditional pilot phase and took a guest-inquiry resolution platform from roughly 30% to 60% resolution without human intervention in about 120 days. The session reinforces a recurring lesson that operational readiness, data hygiene, and organizational incentives often determine whether AI pilots scale into reliable customer-facing systems.
What happened
At the Skift Data + AI Summit 2026, a session titled 'The Scaling Decision Nobody Warned You About' brought together Wei Manfredi, SVP AI and Architecture at IHG Hotels & Resorts, and Arun Nagarajan, Chief Product and Technology Officer at Evolve, moderated by Skift's Adriana Lee.
The argument
Skift reports both panelists pointed to the fundamentals rather than novelty as the key to scaling AI. Manfredi emphasized unglamorous groundwork, infrastructure, clean data, and well-structured APIs, as what makes a company's properties visible and usable to AI agents. Nagarajan framed AI adoption as a cultural and process change that organizations need to embrace even when it is uncomfortable.
A concrete metric
According to Skift, Evolve chose to forgo a traditional pilot structure and commit to scaling from the start. The company took a platform that handles routine guest inquiries from resolving about 30% of conversations without human intervention to about 60% in roughly 120 days.
Why it matters
For practitioners, the session reinforces that the constraints on scaling customer-facing AI are often operational and organizational rather than purely technical. Data hygiene, integration quality, and incentives frequently determine whether pilots become dependable production systems.
Caveat
The resolution metric is a single company's self-reported figure shared at a conference and has not been independently audited.
Key Points
- 1At the Skift Data + AI Summit 2026, IHG's Wei Manfredi and Evolve's Arun Nagarajan argued that infrastructure, clean data, and APIs matter more than glamorous technology for scaling AI.
- 2Skift reports Evolve skipped a formal pilot and lifted guest-inquiry resolution without human intervention from about 30% to 60% in roughly 120 days.
- 3Both framed people and culture as the bigger roadblock than technology, a recurring lesson that operational readiness drives whether AI moves from pilot to production.
Scoring Rationale
The Skift session delivers actionable, operational lessons on scaling AI into customer-facing systems, anchored by Evolve's concrete 30% to 60% resolution metric in about 120 days. It is practitioner-relevant but is single-conference content with one publisher's reporting and a self-reported figure, so it rates as a useful, mid-range item.
Sources
Public references used for this report.
Practice interview problems based on real data
1,625 SQL & Python problems across 15 industry datasets — the exact type of data you work with.
Try 250 free problems
