Global – October 31, 2026 -- Net revenue retention (NRR) in SaaS has not improved in three years, even though 81% of customer success (CS) leaders say AI cuts the time their teams spend on manual tasks, according to ChurnZero's 2026 Customer Success Leadership Study.
The survey polled almost 580 CS leaders. Respondents named logging tasks, summarizing leads and calls, and account research as the main workloads AI now handles. NRR remained flat from 2024 through 2026.
Teams with mature AI report higher retention: 64.6% versus 39.4%
AI maturity, not time savings, tracks with results. Among strategic, AI-driven teams, 64.6% reported NRR of 100% or higher. Among teams with underdeveloped AI, the share was 39.4%.
Many teams have not reached that stage. Some 19% of leaders place their AI maturity at the experimental phase and 32% at the tactical phase, where AI is used in limited cases. ChurnZero warns that experimenting teams risk building redundant tools or workflows that are later abandoned.
Human sign-off requirements at 40% of teams create approval bottlenecks
Four in 10 teams still require human approval at every step, so reviewing AI output offsets part of the time saved on admin work. Four out of five teams stop AI before it makes any strategic decisions.
Measurement is also thin. 63% of CS leaders have no method to measure AI impact, which leaves them unable to tie AI to team outcomes or to NRR. ChurnZero also notes that saved time is not necessarily redirected toward activities that drive retention and expansion.
ChurnZero urges a four-step time audit before reallocating CSM hours
The report recommends that teams inventory AI-managed administrative workflows, then benchmark how long each task takes a CSM without AI, such as QBR preparation or call summaries. Teams should then record AI completion times, review them quarterly, and calculate the daily, weekly or monthly hours returned to CSMs.
Freed capacity should go to larger portfolios, expansion calls and skills
ChurnZero names three uses for the recovered time:
- Larger customer portfolios, with a caution that overloading CSMs risks the accounts they manage.
- More expansion calls, with AI reviewing accounts and surfacing buying opportunities directly to the CSM.
- Training and career progression, so CSMs can handle high-value work such as negotiating new deals, saving at-risk accounts and building customer partnerships.
CEO recommends starting with human approval and moving gradually to automation
ChurnZero CEO You Mon Tsang recommended this phased approach on the Startup Builders & Backers podcast. Teams begin with a human who signs off on AI actions, messages or recommendations. As leaders grow comfortable with autonomy, they can shift gradually toward full automation, rather than treating it as an all-or-nothing move.