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Anthropic@NICE

NICE Standardizes Task Agents on Anthropic

NICE, an information technology organization in Israel, uses Claude Code from Anthropic to support operations automation for ops and platform teams.

A Claude Code rollout at NICE took operations automation out of inboxes and into a named queue.

“NICE is based in Israel and runs information technology operations at a scale where task agents cannot live in side channels.”
“Ops and platform teams were reconciling competing copies of the same work, which slowed operations automation and hid who owned the next step.”
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Independent write-up. Figures come from public sources or are illustrative.

Value results

CategoryValue result
CapabilityOperations automation stays visible to adjacent teams through Claude Code
CapabilityOps and platform teams work from the same Claude Code record for task agents
CapabilityTask agents can be reviewed without waiting on a personal export

Story

NICE is based in Israel and runs information technology operations at a scale where task agents cannot live in side channels. Ops and platform teams were reconciling competing copies of the same work, which slowed operations automation and hid who owned the next step.

The company runs operations automation on Anthropic, with Claude Code as the product ops and platform teams actually open. Anthropic builds the Claude family of AI models used for analysis, coding, and workplace assistants with an emphasis on reliability. For NICE, that means ops and platform teams can open one workflow, see task agents, and let neighboring teams join without inventing a parallel stack.

Public materials confirm the companies and products. They do not always publish a single verified KPI for this pairing, so the outcome here is operational: clearer ownership, fewer stalled handoffs, and a shared record for task agents.

Value Graph

NICE uses Anthropic, Cartesia. Shared with Rakuten, AES, Asana, Canva, Grab. Industry: Information Technology. Value: Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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