{"success":true,"data":{"pressRelease":{"id":"163702","rtpr_id":"nPNAXRH9ja-20261008","ticker":"APPN","exchange":"NASDAQ","all_tickers":["APPN"],"title":"Six in 10 Australian Workers Have Caught AI Getting It Wrong at Work","author":"PR Newswire","published_at":"2026-10-08T00:17:40.817Z","article_body":"Six in 10 Australian Workers Have Caught AI Getting It Wrong at Work\nPR Newswire\n\nSYDNEY, Oct. 8, 2026\n\nNew Appian research finds the most significant AI errors encountered had\nfinancial, compliance, or reputational impact consequences\n\nSYDNEY, Oct. 8, 2026 /PRNewswire/ -- Sixty percent of Australian workers have\npersonally identified an error made by an artificial intelligence (AI) tool at\nwork, according to new research from Appian\n(https://edge.prnewswire.com/c/link/?t=0&l=en&o=4791537-1&h=2534704467&u=https%3A%2F%2Fappian.com%2F&a=Appian)\n(Nasdaq: APPN).\n\n\nThe Australian workplace study found that while workers widely report AI\nmistakes, more than one in five said employees in their organisation are\ndiscouraged from challenging its recommendations or decisions. Against that\nbackdrop, only 14% fully trust the AI-generated outputs used within their\norganisation.\n\nCharlie Hutchinson, SVP Asia-Pacific and Japan at Appian, said organisations\ncannot expect workers to embrace AI if they do not trust its outputs or feel\nable to question them. \"It is hardly surprising that complete trust in AI is\nso low when workers are catching it making mistakes and are discouraged from\nquestioning its outputs,\" said Hutchinson.\n\n\"For businesses, mistrust creates a lose-lose situation. Employees may avoid\nAI or spend time checking everything it produces, wiping out the productivity\ngains it was meant to deliver. Alternatively, they may continue using an\noutput they suspect is wrong because they do not feel able to challenge it. AI\nneeds to operate within the same governance processes and controls as the rest\nof the business, with people able to step in before a significant error\noccurs.\"\n\nAI mistakes are undermining worker trust\n\nAI errors are already affecting customers and business operations. One in five\nworkers said the most significant AI error they encountered caused a customer\nservice issue, while 13% reported operational disruption.\n\nAlmost half said the most significant AI error they experienced resulted in\nconsequences beyond minor inconvenience, including financial, compliance, or\nreputational impact.\n\nThe potential for AI to make incorrect decisions was the greatest concern for\n25% of respondents, followed by data privacy and security risks at 22%, and a\nlack of transparency around how AI reaches decisions at 20%.\n\n\"Every visible error gives workers another reason to question whether AI\nshould be trusted with more consequential work,\" said Hutchinson. \"Employees\nare often the last line of defence before an incorrect output reaches a\ncustomer or becomes part of a business decision. If they are discouraged from\nspeaking up, organisations remove one of their most important safeguards.\"\n\nAs a result of these challenges, almost all workers (94%) said AI should not\nbe allowed to make decisions affecting employees or customers without limits\nor human oversight. This is reinforced by findings that senior management\nremains more trusted than AI, with 52% placing greater trust in senior leaders\ncompared with 29% who trust AI more.\n\nBusinesses recognise the risk, but controls are lagging\n\nGlobal research from Harvard Business Review Analytic Services\n(https://edge.prnewswire.com/c/link/?t=0&l=en&o=4791537-1&h=427161071&u=https%3A%2F%2Fappian.com%2Fresources%2Fresource-center%2Fanalyst-reports%2F2026%2Fhbr-report-what-drives-ai-value&a=Harvard+Business+Review+Analytic+Services),\nsponsored by Appian, found a significant gap between recognising the risks of\nAI and acting on them. While 92% agreed AI agents need rules-based guardrails\nto operate safely and effectively, less than half (48%) said their\norganisation has defined them.\n\nAs businesses move AI from standalone productivity tools into core processes\nthat directly affect employees and customers, the consequences of that gap\nwill become more significant.\n\n\"Businesses know AI needs rules, but many are deploying it before those rules\nare in place. Doing so without the right controls can quickly lead to\nunexpected token costs, operational disruption and accountability gaps,\" said\nHutchinson. \"Governance cannot be bolted on after AI is already influencing\ndecisions. AI needs to be embedded within governed business processes that\ncontrol what it can access, define the rules it must follow, and determine\nwhen a decision must be handed to a person. That gives employees the\nvisibility and confidence to use AI while allowing businesses to capture its\nproductivity benefits without giving up accountability.\"\n\nWorkers reject AI without accountability\n\nTwo-thirds (66%) of Australian workers believe decisions affecting employees\nor customers should either require human review and approval or always be made\nby people. A further 28% would restrict AI to low-risk decisions.\n\n\"Australian workers are rejecting unchecked AI. Businesses will only realise\nthe full value of AI if employees build trust, are willing to use it within\ncritical processes, and confident enough to act on its outputs. That requires\ngoverned processes where AI recommendations and autonomous agent outputs can\nbe systematically reviewed, validated, or overridden and human judgement\nremains part of important decisions,\" concluded Hutchinson.\n\nIf you are ready to leverage AI automation for critical processes with\nstructure, reliability and control, start here\n(https://edge.prnewswire.com/c/link/?t=0&l=en&o=4791537-1&h=2903053365&u=https%3A%2F%2Fappian.com%2Fproducts%2Fplatform%2Fartificial-intelligence&a=here).\n\nAppian Australian Research Methodology:\nAppian commissioned Zoho Research to survey 500 Australian workers in Q3 2026.\n\nAbout Appian:\nAppian provides AI automation for mission-critical work.. We automate complex\nprocesses in large enterprises and governments. Our platform is known for its\nunique reliability and scale. We've been automating processes for more than 25\nyears and understand enterprise operations like no one else. For more\ninformation, visit appian.com\n(https://edge.prnewswire.com/c/link/?t=0&l=en&o=4791537-1&h=3646876194&u=http%3A%2F%2Fwww.appian.com%2F&a=appian.com).\n(Nasdaq: APPN) \n\nFollow Appian: LinkedIn\n(https://edge.prnewswire.com/c/link/?t=0&l=en&o=4791537-1&h=3704757249&u=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fappian&a=LinkedIn),\nYouTube\n(https://edge.prnewswire.com/c/link/?t=0&l=en&o=4791537-1&h=40683885&u=https%3A%2F%2Fwww.youtube.com%2F%40appian&a=YouTube),\nInstagram\n(https://edge.prnewswire.com/c/link/?t=0&l=en&o=4791537-1&h=2710103201&u=https%3A%2F%2Fwww.instagram.com%2Fappiancorp%2F&a=Instagram),\nFacebook\n(https://edge.prnewswire.com/c/link/?t=0&l=en&o=4791537-1&h=3668823361&u=https%3A%2F%2Fwww.facebook.com%2FAppianCorporation%2F&a=Facebook),\nand X\n(https://edge.prnewswire.com/c/link/?t=0&l=en&o=4791537-1&h=3791630571&u=https%3A%2F%2Fx.com%2FAppian&a=X).\n\nForward-Looking Statements\n\nThis press release includes forward-looking statements. All statements\ncontained in this press release other than statements of historical facts are\nforward-looking statements. The words \"anticipate,\" \"believe,\" \"continue,\"\n\"estimate,\" \"expect,\" \"intend,\" \"may,\" \"will,\" and similar expressions are\nintended to identify forward-looking statements. These forward-looking\nstatements are subject to a number of risks and uncertainties, including the\nrisks and uncertainties set forth in the \"Risk Factors\" section of Appian's\nmost recent Annual Report on Form 10-K, quarterly reports on Form 10-Q, and\nother filings with the Securities and Exchange Commission. Appian is under no\nduty to update any of these forward-looking statements after the date of this\npress release to conform these statements to actual results or revised\nexpectations, except as required by law.\n\n \n\n\nView original content to download\nmultimedia:https://www.prnewswire.com/apac/news-releases/six-in-10-australian-workers-have-caught-ai-getting-it-wrong-at-work-302900918.html\n\nSOURCE Appian\n\n\n\nPhoto: \nhttps://mmx.prnewswire.com/media/MS2004018/APPIAN-2026-Appian-Trust-Research.jpg?id=OA2991845\nhttps://mmx.prnewswire.com/media/MS953141/Appian-Caption-2700px-Logo.jpg?id=OA2991844\n\nCopyright (c) 2026 PR Newswire Association,LLC. All Rights Reserved.","article_body_html":"","raw_payload":{"data":{"id":"nPNAXRH9ja-20261008","title":"Six in 10 Australian Workers Have Caught AI Getting It Wrong at Work","author":"PR Newswire","ticker":"APPN","created":"2026-10-08T00:17:40.817Z","tickers":["APPN"],"exchange":"NASDAQ","article_body":"Six in 10 Australian Workers Have Caught AI Getting It Wrong at Work\nPR Newswire\n\nSYDNEY, Oct. 8, 2026\n\nNew Appian research finds the most significant AI errors encountered had\nfinancial, compliance, or reputational impact consequences\n\nSYDNEY, Oct. 8, 2026 /PRNewswire/ -- Sixty percent of Australian workers have\npersonally identified an error made by an artificial intelligence (AI) tool at\nwork, according to new research from Appian\n(https://edge.prnewswire.com/c/link/?t=0&l=en&o=4791537-1&h=2534704467&u=https%3A%2F%2Fappian.com%2F&a=Appian)\n(Nasdaq: APPN).\n\n\nThe Australian workplace study found that while workers widely report AI\nmistakes, more than one in five said employees in their organisation are\ndiscouraged from challenging its recommendations or decisions. Against that\nbackdrop, only 14% fully trust the AI-generated outputs used within their\norganisation.\n\nCharlie Hutchinson, SVP Asia-Pacific and Japan at Appian, said organisations\ncannot expect workers to embrace AI if they do not trust its outputs or feel\nable to question them. \"It is hardly surprising that complete trust in AI is\nso low when workers are catching it making mistakes and are discouraged from\nquestioning its outputs,\" said Hutchinson.\n\n\"For businesses, mistrust creates a lose-lose situation. Employees may avoid\nAI or spend time checking everything it produces, wiping out the productivity\ngains it was meant to deliver. Alternatively, they may continue using an\noutput they suspect is wrong because they do not feel able to challenge it. AI\nneeds to operate within the same governance processes and controls as the rest\nof the business, with people able to step in before a significant error\noccurs.\"\n\nAI mistakes are undermining worker trust\n\nAI errors are already affecting customers and business operations. One in five\nworkers said the most significant AI error they encountered caused a customer\nservice issue, while 13% reported operational disruption.\n\nAlmost half said the most significant AI error they experienced resulted in\nconsequences beyond minor inconvenience, including financial, compliance, or\nreputational impact.\n\nThe potential for AI to make incorrect decisions was the greatest concern for\n25% of respondents, followed by data privacy and security risks at 22%, and a\nlack of transparency around how AI reaches decisions at 20%.\n\n\"Every visible error gives workers another reason to question whether AI\nshould be trusted with more consequential work,\" said Hutchinson. \"Employees\nare often the last line of defence before an incorrect output reaches a\ncustomer or becomes part of a business decision. If they are discouraged from\nspeaking up, organisations remove one of their most important safeguards.\"\n\nAs a result of these challenges, almost all workers (94%) said AI should not\nbe allowed to make decisions affecting employees or customers without limits\nor human oversight. This is reinforced by findings that senior management\nremains more trusted than AI, with 52% placing greater trust in senior leaders\ncompared with 29% who trust AI more.\n\nBusinesses recognise the risk, but controls are lagging\n\nGlobal research from Harvard Business Review Analytic Services\n(https://edge.prnewswire.com/c/link/?t=0&l=en&o=4791537-1&h=427161071&u=https%3A%2F%2Fappian.com%2Fresources%2Fresource-center%2Fanalyst-reports%2F2026%2Fhbr-report-what-drives-ai-value&a=Harvard+Business+Review+Analytic+Services),\nsponsored by Appian, found a significant gap between recognising the risks of\nAI and acting on them. While 92% agreed AI agents need rules-based guardrails\nto operate safely and effectively, less than half (48%) said their\norganisation has defined them.\n\nAs businesses move AI from standalone productivity tools into core processes\nthat directly affect employees and customers, the consequences of that gap\nwill become more significant.\n\n\"Businesses know AI needs rules, but many are deploying it before those rules\nare in place. Doing so without the right controls can quickly lead to\nunexpected token costs, operational disruption and accountability gaps,\" said\nHutchinson. \"Governance cannot be bolted on after AI is already influencing\ndecisions. AI needs to be embedded within governed business processes that\ncontrol what it can access, define the rules it must follow, and determine\nwhen a decision must be handed to a person. That gives employees the\nvisibility and confidence to use AI while allowing businesses to capture its\nproductivity benefits without giving up accountability.\"\n\nWorkers reject AI without accountability\n\nTwo-thirds (66%) of Australian workers believe decisions affecting employees\nor customers should either require human review and approval or always be made\nby people. A further 28% would restrict AI to low-risk decisions.\n\n\"Australian workers are rejecting unchecked AI. Businesses will only realise\nthe full value of AI if employees build trust, are willing to use it within\ncritical processes, and confident enough to act on its outputs. That requires\ngoverned processes where AI recommendations and autonomous agent outputs can\nbe systematically reviewed, validated, or overridden and human judgement\nremains part of important decisions,\" concluded Hutchinson.\n\nIf you are ready to leverage AI automation for critical processes with\nstructure, reliability and control, start here\n(https://edge.prnewswire.com/c/link/?t=0&l=en&o=4791537-1&h=2903053365&u=https%3A%2F%2Fappian.com%2Fproducts%2Fplatform%2Fartificial-intelligence&a=here).\n\nAppian Australian Research Methodology:\nAppian commissioned Zoho Research to survey 500 Australian workers in Q3 2026.\n\nAbout Appian:\nAppian provides AI automation for mission-critical work.. We automate complex\nprocesses in large enterprises and governments. Our platform is known for its\nunique reliability and scale. We've been automating processes for more than 25\nyears and understand enterprise operations like no one else. For more\ninformation, visit appian.com\n(https://edge.prnewswire.com/c/link/?t=0&l=en&o=4791537-1&h=3646876194&u=http%3A%2F%2Fwww.appian.com%2F&a=appian.com).\n(Nasdaq: APPN) \n\nFollow Appian: LinkedIn\n(https://edge.prnewswire.com/c/link/?t=0&l=en&o=4791537-1&h=3704757249&u=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fappian&a=LinkedIn),\nYouTube\n(https://edge.prnewswire.com/c/link/?t=0&l=en&o=4791537-1&h=40683885&u=https%3A%2F%2Fwww.youtube.com%2F%40appian&a=YouTube),\nInstagram\n(https://edge.prnewswire.com/c/link/?t=0&l=en&o=4791537-1&h=2710103201&u=https%3A%2F%2Fwww.instagram.com%2Fappiancorp%2F&a=Instagram),\nFacebook\n(https://edge.prnewswire.com/c/link/?t=0&l=en&o=4791537-1&h=3668823361&u=https%3A%2F%2Fwww.facebook.com%2FAppianCorporation%2F&a=Facebook),\nand X\n(https://edge.prnewswire.com/c/link/?t=0&l=en&o=4791537-1&h=3791630571&u=https%3A%2F%2Fx.com%2FAppian&a=X).\n\nForward-Looking Statements\n\nThis press release includes forward-looking statements. All statements\ncontained in this press release other than statements of historical facts are\nforward-looking statements. The words \"anticipate,\" \"believe,\" \"continue,\"\n\"estimate,\" \"expect,\" \"intend,\" \"may,\" \"will,\" and similar expressions are\nintended to identify forward-looking statements. These forward-looking\nstatements are subject to a number of risks and uncertainties, including the\nrisks and uncertainties set forth in the \"Risk Factors\" section of Appian's\nmost recent Annual Report on Form 10-K, quarterly reports on Form 10-Q, and\nother filings with the Securities and Exchange Commission. Appian is under no\nduty to update any of these forward-looking statements after the date of this\npress release to conform these statements to actual results or revised\nexpectations, except as required by law.\n\n \n\n\nView original content to download\nmultimedia:https://www.prnewswire.com/apac/news-releases/six-in-10-australian-workers-have-caught-ai-getting-it-wrong-at-work-302900918.html\n\nSOURCE Appian\n\n\n\nPhoto: \nhttps://mmx.prnewswire.com/media/MS2004018/APPIAN-2026-Appian-Trust-Research.jpg?id=OA2991845\nhttps://mmx.prnewswire.com/media/MS953141/Appian-Caption-2700px-Logo.jpg?id=OA2991844\n\nCopyright (c) 2026 PR Newswire Association,LLC. All Rights Reserved."},"type":"article","timestamp":"2026-10-08T00:17:40.857901506Z","server_sent_at_ms":1791418660857},"received_at":"2026-10-08T00:17:40.908Z","source_url":null},"analysis":{"id":"152151","press_release_id":"163702","analysis_json":{"industry":{"label":"Software","sector":"Information Technology"},"redFlags":[],"eventType":"other","narrative":"Appian published commissioned research finding 60% of Australian workers have personally identified an AI error at work, with nearly half reporting errors causing financial, compliance, or reputational impact.\n\nOnly 14% of workers fully trust AI-generated outputs, and 94% say AI should not make consequential decisions without human oversight.\n\nThe release is a marketing survey promoting Appian's governed AI process platform; it contains no financial or operational disclosure material to the company.","sentiment":"neutral","agentHooks":{"shouldPost":false,"suggestedAngle":"Promotional survey content -- suppress; only useful as context for Appian's AI governance go-to-market."},"keyFigures":{"customDimensions":{"survey_respondents":500,"pct_caught_ai_error":"60%","pct_want_human_oversight":"94%","pct_fully_trust_ai_outputs":"14%"}},"quotedText":"It is hardly surprising that complete trust in AI is so low when workers are catching it making mistakes and are discouraged from questioning its outputs","namedEntities":{"people":[{"name":"Charlie Hutchinson","role":"SVP Asia-Pacific and Japan, Appian"}],"products":["Appian AI automation platform"],"companies":[{"name":"Appian","ticker":"APPN","relationship":"filer/author"},{"name":"Zoho Research","relationship":"survey provider"},{"name":"Harvard Business Review Analytic Services","relationship":"research partner"}],"dollarAmounts":[]},"materialImpact":{"score":1,"reasoning":"Appian-sponsored marketing research on AI trust in Australian workplaces; no financials, guidance, or operational disclosure. Promotional content positioning Appian's governance platform."},"tickerRelevance":{"others":[],"primary":"APPN"},"globalImportance":8,"audienceRelevance":12,"eventTypeSecondary":[],"importanceComponents":{"tickerTier":"small-cap","eventGravity":"marketing-research-survey","issuerAuthored":true,"promotionalContent":true}},"event_type":"other","event_type_secondary":null,"sentiment":"neutral","material_impact_score":1,"narrative":"Appian published commissioned research finding 60% of Australian workers have personally identified an AI error at work, with nearly half reporting errors causing financial, compliance, or reputational impact.\n\nOnly 14% of workers fully trust AI-generated outputs, and 94% say AI should not make consequential decisions without human oversight.\n\nThe release is a marketing survey promoting Appian's governed AI process platform; it contains no financial or operational disclosure material to the company.","key_figures":{"customDimensions":{"survey_respondents":500,"pct_caught_ai_error":"60%","pct_want_human_oversight":"94%","pct_fully_trust_ai_outputs":"14%"}},"named_entities":{"people":[{"name":"Charlie Hutchinson","role":"SVP Asia-Pacific and Japan, Appian"}],"products":["Appian AI automation platform"],"companies":[{"name":"Appian","ticker":"APPN","relationship":"filer/author"},{"name":"Zoho Research","relationship":"survey provider"},{"name":"Harvard Business Review Analytic Services","relationship":"research partner"}],"dollarAmounts":[]},"model_name":"glm-5.3-flashx","prompt_hash":"sha256:5c812bd9e28b810d","schema_hash":"sha256:05005c02d9cffac9","created_at":"2026-10-08T00:17:47.695Z","global_importance":8,"audience_relevance":12,"importance_components":{"tickerTier":"small-cap","eventGravity":"marketing-research-survey","issuerAuthored":true,"promotionalContent":true}},"durationMs":4131,"modelName":"glm-5.3-flashx"}}