OTISOtis Worldwide Corporation
AI adoption · Q1 2026 earnings call
IndustrialsScaling
7
extracted from this call
4 / 5
quantified with specifics
Not disclosed
no breakout in this call
AI was discussed in two distinct contexts on this call: (1) Otis's majority investment in 'We Maintain,' a digitally-native elevator service provider that uses machine learning and AI to drive customer centricity and knowledge-sharing across its mechanic base; and (2) an internal AI pricing algorithm being deployed to enable micro-segmented, value-based pricing across high-value maintenance markets. Management framed both as strategic investments supporting service margin recovery and long-term growth, but provided limited financial quantification of AI-specific outcomes.
Adopter
See full leaderboard →60/ 100
78
stage: scaling · max spec: 4
40
2 quant outcomes
65
2 scopes
internal_useproduct_embedded
7 AI mentions from this call.
Extracted verbatim from the OTIS Q1 2026 earnings call transcript. Speaker, section, and specificity tier surfaced for each mention.
- T4Q&A· CFO· Internal usethe price sort of cost headwinds or price net of labor, materials, fuel and so on in service, is that a big lever sort of turning around as we move through the year
“One is the micro pricing that we started last year and this is essentially thanks to our AI algorithm, thanks to a much more value-add approach to pricing, we are able to adapt our price to customer perception to customer SMAs. So we don't follow the same approach for all and this is the $50 million improvement sequentially that I mentioned before, 1 year versus the other because this comes on top of the regular inflationary clauses we have in our contracts.”
— Cristina Mendez, OTIS earnings callAI algorithm, AI pricing algorithm - T4Prepared remarks· CEO· Internal use
“in Q1, we invested approximately $10 million in sales capabilities in high-value markets, including tools and our AI pricing algorithm, sales representatives and training of the sales force.”
— Judith Marks, OTIS earnings callAI pricing algorithm - T3Q&A· CEO· Product-embedded AIIs there something that they have done or are doing, though that would suggest it's not I guess easy or likely that someone else replicates us using AI tools.
“they've been doing it for almost 9 years now, 8 or 9 years, which is different than just putting a piece of a genic AI out for repair technicians and maintenance technicians. It's truly integrated in terms of the knowledge learning and the immediate sharing across their entire mechanic base. So this was born this way. if you join, we maintain as a mechanic, is -- these are the tools you use and you use them 24/7”
— Judith Marks, OTIS earnings callWe MaintainWe Maintain - T3Q&A· CEO· Product-embedded AIJudy, maybe a pivot to we maintain that sort of winds a little bit with kind of the nagging concern many of us have about ISPs being technically capable of competing effectively against the big OEMs. Maybe just sort of address that and what you see them bringing to the table specifically for Otis.
“This is a digitally native ecosystem that was started in late 2017 that operates in at least 4 other countries right now that integrates a digitally native mechanic with an ecosystem that uses machine learning and AI to really drive more customer centricity and to learn with every repair they make, every maintenance visit they make.”
— Judith Marks, OTIS earnings callWe MaintainWe Maintain, Otis ONE - T3Prepared remarks· CEO· Product-embedded AI
“we have 1.1 million -- over 1 million units connected via Otis ONE. The ability to predictively understand when an elevator is going to shut down or have an issue, and we have the ability to get to a customer before that and repair it so that they don't have a shutdown.”
— Judith Marks, OTIS earnings callOtis ONE - T2Prepared remarks· CEO· Product-embedded AI
“we recently announced the majority investment and we maintain a digital and AI-enabled elevator service provider. We anticipate this transaction to contribute incremental growth as we maintain offers a compelling connected solution with a complement to Otis ONE for a multi-branded portfolio base.”
— Judith Marks, OTIS earnings callWe MaintainOtis ONE, We Maintain - T2Prepared remarks· CEO· Product-embedded AI
“By leveraging insights from Otis ONE connectivity together with our unique capabilities from factory to the front line, we are proactively driving repair volumes and reducing customer downtime.”
— Judith Marks, OTIS earnings callOtis ONE
What management wouldn’t quantify.
Analyst questions where management declined to share a specific number. The pattern of refusals is often as informative as the disclosures.
- No standalone financial disclosure of AI-related revenue, ARR, or cost savings from the AI pricing algorithm.
- The $50 million incremental pricing benefit attributed partly to the AI pricing algorithm is not disaggregated from broader pricing initiatives, making it impossible to isolate AI's contribution.
- No quantification of We Maintain's revenue, unit count, or financial contribution to Otis post-investment.
- No disclosure of the investment amount or valuation for the We Maintain majority stake.
- No detail on the number of markets or countries where the AI pricing algorithm has been rolled out versus piloted.
- No disclosure of GPU, model, or technology stack underlying We Maintain's or Otis's internal AI tools.
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