{
  "id": 6741616,
  "title": "Congratulations on Your Flawless AI Agent. Too Bad the Business Runs on Slack.",
  "url": "https://urgent.news/2026/09/11/congratulations-on-your-flawless-ai-agent-too-bad-the-business-runs",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-11T03:43:25.000Z",
  "source": {
    "name": "HackerNoon",
    "slug": "hackernoon",
    "url": "https://hackernoon.com/congratulations-on-your-flawless-ai-agent-too-bad-the-business-runs-on-slack?source=rss"
  },
  "original_language": "en",
  "account": "Enterprise AI tools often struggle with adoption, despite appearing polished and functional. The issue stems from limited understanding of the actual workflow behind the business processes. When constructing an AI model from raw data and spreadsheets, the resulting agent fails to grasp the nuances of human decision-making. The model may have access to historical data, but it lacks context of the many suboptimal choices made before the correct path was discovered.\n\nTo create an AI agent that users embrace from the start, it's essential to involve a Forward Deployed Engineer (FDE) in the development process. FDEs are software engineers who live and breathe the company's operations, possessing an intuitive grasp of the intricacies involved. They collaborate with Subject Matter Experts (SMEs) to extract the untapped knowledge residing in informal channels like Slack DMs, private Google Docs, and Zoom meeting transcripts.\n\nThe FDE's role is to bridge the gap between code and context, infusing the AI agent with the SME's implicit expertise. By co-developing the AI alongside the end-users, a psychological shift occurs. Users no longer perceive the tool as an imposition but as a product of their collective effort. This collaboration fosters a sense of ownership, enabling seamless Day 1 adoption without the need for extensive change management.\n\nRather than solely focusing on building the AI, the key to success lies in understanding the human-centric workflows that drive business outcomes. By deploying an FDE alongside SMEs, developers can translate the intuitive understanding of the business process into prompts, tool-call logic, and guardrails for the AI agent. This approach yields an AI that mirrors human reasoning, feels natural, and becomes an invaluable asset to the organization rather than an obsolete relic of a spreadsheet-driven past.",
  "summary": "Enterprise AI fails when it understands databases but not real workflows. Here’s how Forward Deployed Engineers capture the missing context.",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}