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# Inside the move from generative AI to agentic AI in enterprise finance

**[The Next Web](https://daily.dev/sources/tnw)** · 5 min read · 1 upvotes · 0 comments

## Summary

AT&T's finance organization is deploying agentic AI workflows using LangGraph to automate manual journal entry preparation under SOX compliance controls. The architecture uses a graph-based approach where each workflow node handles a discrete step — data extraction, transformation, calculation, template generation — and produces timestamped, auditable outputs. Finance-owned playbooks separate business logic from engineering orchestration, allowing subject-matter experts to define rules, thresholds, and evidence requirements. Node-level evaluations act as control checkpoints, and a monitoring layer tracks output drift and exception rates over time. Human reviewers retain responsibility for exceptions and final approval, with the system explicitly designed to constrain AI autonomy rather than replace professional judgment.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://thenextweb.com/news/generative-ai-to-agentic-ai-enterprise-finance>

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---

Tags: [#llm](https://daily.dev/tags/llm), [#automation](https://daily.dev/tags/automation), [#agentic-ai](https://daily.dev/tags/agentic-ai), [#langgraph](https://daily.dev/tags/langgraph)

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