How Large Action Models are reshaping CX
Pro How Large Action Models are reshaping CX Opinion By Stuart Templeton, Genesys Published 28 July 2026 From reactive support to autonomous execution in CX When you purchase through links on our site, we may earn an affiliate commission. Stuart Templeton, Genesys Social Links Navigation VP for EMEA North at Genesys. Large Language Models (LLMs) have helped businesses create more responsive and personalized interactions, but many organizations are beginning to recognize that conversational AI alone is not enough.
- ▪Pro How Large Action Models are reshaping CX Opinion By Stuart Templeton, Genesys Published 28 July 2026 From reactive support to autonomous execution in CX When you purchase through links on our site, we may earn an affiliate commission.
- ▪Stuart Templeton, Genesys Social Links Navigation VP for EMEA North at Genesys.
- ▪Large Language Models (LLMs) have helped businesses create more responsive and personalized interactions, but many organizations are beginning to recognize that conversational AI alone is not enough.
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Record
| Original publisher | TechRadar |
| Canonical URL | https://www.techradar.com/pro/how-large-action-models-are-reshaping-cx |
| Publication time | Tue, 28 Jul 2026 10:06:27 +0000 |
| Retrieval time | 2026-07-28T10:14:32.876Z |
| Last seen | 2026-07-28T10:14:32.876Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | IVeRAZCO4nqV · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
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Pro How Large Action Models are reshaping CX Opinion By Stuart Templeton, Genesys Published 28 July 2026 From reactive support to autonomous execution in CX When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. (Image credit: Getty Images) Copy link Facebook X Whatsapp Reddit Pinterest Flipboard Threads Email Share this article 0 Join the conversation Follow us Add us as a preferred source on Google Newsletter Subscribe to our newsletter Despite years of artificial intelligence (AI) investment, most customer experiences still remain fragmented, reactive and heavily dependent on disconnected systems behind the scenes.While 88% of businesses now use AI in at least one function, nearly two-thirds remain stuck in pilot phases, according to…
Excerpt limited to ~120 words for fair-use compliance. The full article is at TechRadar.
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