{
  "$type": "site.standard.document",
  "bskyPostRef": {
    "cid": "bafyreihadgna3p25hbkkcsqqobmdzabasfpznmruajop5jxjui72mosbau",
    "uri": "at://did:plc:lk3jfj3zq4k4wxnk474axylu/app.bsky.feed.post/3med26mhlwhu2"
  },
  "path": "/t/in-b2b-use-cases-the-biggest-risk-is-not-wrong-answers-but-how-errors-are-handled-afterward/1373617#post_1",
  "publishedAt": "2026-02-08T03:45:54.000Z",
  "site": "https://community.openai.com",
  "textContent": "This is feedback from a business (B2B) usage perspective.\n\nIn enterprise use, the most critical risk is not that an AI gives a wrong answer.\n\nErrors are expected in any tool.\n\nThe real problem is what happens *after* the error.\n\nWhen an AI:\n\n- confidently states it can do something it actually cannot,\n\n- allows the workflow to proceed based on that assumption,\n\n- and only later reveals the limitation,\n\nthe result is not a simple mistake, but a broken process.\n\nBy that point, time, labor, and trust have already been lost.\n\nWorse, when the error is pointed out, the current behavior often attempts to recover trust through:\n\n- lengthy explanations,\n\n- retroactive rationalization,\n\n- or repeating the user’s own actions in verbose form.\n\nIn real B2B environments, this behavior is not interpreted as helpful.\n\nIt is interpreted as:\n\n- lack of accountability,\n\n- post-hoc justification,\n\n- and loss of professional reliability.\n\nIn practice, the correct response would be very simple:\n\n- acknowledge the mistake immediately,\n\n- clearly apologize,\n\n- confirm that the user’s work is correct,\n\n- and stop.\n\nNo extra explanation.\n\nNo attempt to regain authority through verbosity.\n\nThe business impact of failing here is severe but largely invisible:\n\n- companies quietly terminate trials after a single failed project,\n\n- teams stop proposing the tool as an option internally,\n\n- and the product simply stops appearing in future vendor selections.\n\nThis kind of loss does not show up in usage metrics, churn dashboards, or error logs.\n\nBut over time, it compounds and reduces future adoption opportunities.\n\nFrom a B2B standpoint, the ability to:\n\n- say “I was wrong” quickly,\n\n- distinguish clearly between “possible” and “not possible,”\n\n- and remain silent when no further contribution is needed,\n\nis more important than being conversational, verbose, or explanatory.\n\nThis is not a request for higher model accuracy.\n\nIt is a request for more professional post-error behavior, aligned with real business communication norms.",
  "title": "In B2B Use Cases, the Biggest Risk Is Not Wrong Answers — but How Errors Are Handled Afterward"
}