
Salesforce AI Connected Customer: How to Build a Trust Contract
Understand Salesforce's 16,000-plus respondent study, what it says about trust, and build a bounded customer-facing AI trust contract.
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Zendesk's CX Trends 2026 presents five trends under the idea of contextual intelligence: using current customer context to make service more personal, immediate, and explainable. Zendesk says its research draws on two global surveys and more than 11,000 respondents. The report combines attitudes from different respondent groups; it is not a controlled test of CX systems.
Read the study shape with the trend themes, because the two-survey design matters when comparing consumer and CX-professional expectations.
| Item | Detail |
|---|---|
| Publisher | Zendesk |
| Edition | CX Trends 2026 |
| Published | 18 November 2025 |
| Study type | Two global surveys, early-technology-adopter interviews and publisher market analysis |
| Sample | 6,182 consumers and 5,115 CX professionals across 22 countries |
| Access | Official landing page; form may be required for the 30-page report |
Context is becoming part of the service promise.
Zendesk groups its trends around contextual intelligence.
Memory-rich AI increases the need for correction.
The report highlights AI that can use interaction history and preferences.
Customers expect faster paths to resolution.
The publisher links context with more immediate service.
Multimodal service changes the evidence surface.
Zendesk includes multimodal experiences in its trend framework.
Transparency remains part of the customer expectation.
Zendesk reports rising expectations for transparency.
This is Easy AI's interpretation, not a Zendesk finding: build one “context receipt” for every automated service decision. Store the source fields used, their timestamps, identity confidence, decision or action, explanation shown, handoff status, and correction outcome. This turns “contextual intelligence” into something a reviewer can inspect.
Completed fictional context receipt:
| Field | Entry |
|---|---|
| Decision | Suppress a promotional message while a complaint remains open |
| Sources and timestamps | Verified account ID; complaint status updated 16 August 2026 at 09:10 ICT |
| Identity confidence | Exact account match; shared household email is not used for person-level decisions |
| Action and explanation | Promotion is held for this account; service agent sees “open complaint” as the reason |
| Handoff | Complaint remains with the named service owner; marketing cannot close or override it |
| Correction and decision | On mistaken status, service corrects the source and downstream suppression is reconciled; pilot only on archived cases |
The receipt is fictional and claims no Zendesk or Easy AI outcome.
The study is vendor-sponsored and combines surveys and market analysis. Respondent mix, question wording, and Zendesk's trend framework shape the output. It does not prove causality, customer-service ROI, vendor ranking, production accuracy, legal compliance, or Easy AI capability.
Use the official report site and Zendesk's official methodology announcement. Easy AI does not own the research or reproduce the report.
Is the full report freely downloadable? Zendesk provides the official report route. A form or regional page may apply; Easy AI does not mirror the file.
Does contextual intelligence mean keeping all customer data? No. Retain and use only data that has a defined purpose, permission basis, freshness rule, owner, and deletion or correction path.
Are the five trends five implementation requirements? No. They are the publisher's research framework. A team should convert only relevant themes into testable operating requirements.
Once the necessary context is identified, define identity resolution, create governed customer segments, and set human-handoff triggers.

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