buildOne report1 publisher AI-first support lines added 71 seconds to Call4me's median wait for a person
Call4me's AI caller took a median 3:07 to reach a person across 11 AI-first calls, against 1:56 across 19 calls that opened with a phone menu. The calls are Call4me's own and mostly placed by its product, so the gap describes one agent against one set of account checks.
Reality
- Evidence35
- Adoption8
- Hype gap+10
- Incentives75
- Confidence40
Backbase has made Conversational Banking generally available, letting AI agents carry out account actions within limits each bank sets. Banks can start with a few use cases and keep their apps. Any in-house build now competes with a product live at more than ten lenders.
Reality
- Evidence35
- Adoption45
- Hype gap+30
- Incentives80
- Confidence60
Google added lip-syncing video avatars to its Gemini 3.8 Live voice agents, available now to Gemini Enterprise customers in 97 languages. Early reviews called the faces creepy and the launch came with no customer evidence, so support teams will have to measure trust in their own queues.
Perspective Coverage
7 publishers
- Builder
- Builder 33%
- Operator
- Operator 50%
- Investor
- Investor 17%
Reality
- Evidence58
- Adoption
- Not scored
- Hype gap+25
- Incentives62
- Confidence60
An insurer's empathy model marks a claims rep down for how she handles a bot
Consumer AI agents are now dialing support lines on their owners' behalf, and at one California insurer the quality model that grades the humans who answer is still scoring those calls as if a person were on the other end.
Reality
- Evidence38
- Adoption28
- Hype gap+12
- Incentives55
- Confidence45
Zendesk puts a three-to-six-month clock on ending per-seat pricing
Tom Eggemeier told a HumanX audience in Amsterdam that seats are dead, and Sierra already bills only for the cases its agents resolve. Buyers now have to forecast a billing unit they have never had to track.
Reality
- Evidence34
- Adoption41
- Hype gap+45
- Incentives88
- Confidence36
buildOne report1 publisher Despite its 2,969-fact corpus, banking contributes least to Sierra's agent-building benchmark score
No autonomous configuration cleared 25%, and the 82.2% human reference was hand-built by an author who already held the ground-truth requirements, so the gap shows the value of already having the spec, not the skill of the engineer who wrote the code.
Reality
- Evidence60
- Adoption20
- Hype gap+15
- Incentives70
- Confidence55
Salesforce says agents per org went 5 to 13 and build time fell to 1.9 days. It sells the agents.
The 2026 Agentic Enterprise Index is the first usable public benchmark for agent deployment velocity, drawn from 400 businesses on Agentforce. Its ROI section is the thinnest part of it.
Reality
- Evidence34
- Adoption61
- Hype gap+38
- Incentives86
- Confidence44