An AI agent can do the work. But who answers for it?

Karl Crowther

Jul 29

Most inefficiency, and most risk, lives in transitions between AI agents, robots, and people. Here's how orchestration can help. Singapore's businesses are entering a new phase of work. As the ...

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Here's how orchestration can help. Singapore's businesses are entering a new phase of work. As the ...</p>\n\n<a href=\"https://www.theedgesingapore.com/digitaledge/artificial-intelligence/ai-agent-can-do-work-who-answers-it?utm_source=Blog&utm_medium=RSS&utm_campaign=Tiger_Brokers_app_RSS\">Source Link</a>\n\n</div>\n","source":"edge_highlight","html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>An AI agent can do the work. 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But who answers for it?\n</h2>\n\n<h4 class=\"meta\">\n\n\n2026-07-29 06:07 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://www.theedgesingapore.com/digitaledge/artificial-intelligence/ai-agent-can-do-work-who-answers-it?utm_source=Blog&utm_medium=RSS&utm_campaign=Tiger_Brokers_app_RSS><strong>Karl Crowther </strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>Most inefficiency, and most risk, lives in transitions between AI agents, robots, and people. Here's how orchestration can help. Singapore's businesses are entering a new phase of work. As the ...</p>\n\n<a href=\"https://www.theedgesingapore.com/digitaledge/artificial-intelligence/ai-agent-can-do-work-who-answers-it?utm_source=Blog&utm_medium=RSS&utm_campaign=Tiger_Brokers_app_RSS\">Source Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","isBrief":false,"type":0,"news_type":1,"symbol":"AIPO","symbol_name":"Defiance AI and Power Infrastructure ETF","start_time":0,"source_url":"https://www.theedgesingapore.com/digitaledge/artificial-intelligence/ai-agent-can-do-work-who-answers-it?utm_source=Blog&utm_medium=RSS&utm_campaign=Tiger_Brokers_app_RSS","article_id":"2655720890","we_media_id":null,"thumbnails":[],"rights":{"source":"edge_highlight","url":"https://www.theedgesingapore.com/digitaledge/artificial-intelligence/ai-agent-can-do-work-who-answers-it?utm_source=Blog&utm_medium=RSS&utm_campaign=Tiger_Brokers_app_RSS","rn_cache_url":null,"directOrigin":true},"url":"https://stock-news.laohu8.com/highlight/detail?id=2655720890","pubTimestamp":1785276459,"columns":[],"sourceInfo":{"source_id":"edge_highlight","name":"Edge"},"weMediaInfo":null,"summary":"Most inefficiency, and most risk, lives in transitions between AI agents, robots, and people. Here's how orchestration can help. ","collect":0,"end_time":0,"defaultTopTitle":"theedgesingapore.com","property":[],"viewcount":null,"language":"en","relate_stocks":{"AIPO":"Defiance AI and Power Infrastructure ETF","CHAT":"ROUNDHILL GENERATIVE AI & TECHNOLOGY ETF","QTOC":"Innovator Growth Accelerated Plus ETF - October","AGIQ":"SoFi Agentic AI ETF","ARTY":"ISHARES FUTURE AI & TECH ETF","VTHR":"Vanguard Russell 3000 ETF","AGIX":"通用人工智能 ETF-AGIX"},"translate_title":"人工智能代理可以完成这项工作。但是谁来负责呢？","themeId":null,"isJumpTheme":false,"ttsUrl":null,"symbols_score_info":{"QTOC":1.5,"AGIX":1.5,"ARTY":1.5,"AIPO":1.5,"VTHR":1.5,"AGIQ":0.68,"CHAT":1.5},"content_text":"Most inefficiency, and most risk, lives in transitions between AI agents, robots, and people. Here's how orchestration can help. Singapore's businesses are entering a new phase of work. As the National AI Missions push agentic AI into our priority sectors, more companies are running two workforces at once: their people, and the AI agents now working alongside them.\nSingtel recently drew attention to redrawing its organisation chart to reflect this, scoping managers to lead teams of both people and agents. The chart is the easy part. The harder questions sit beneath it, and many boards have yet to confront them.\nUnderstanding the new workforce\nIt helps to be precise about what an AI agent is. A chatbot answers a question-an agent acts on it, approving an invoice, updating a customer record, or moving funds between accounts. The difference is between an assistant who drafts a letter and a colleague who signs and sends it for you.\nWhat makes an agent valuable also makes it risky. Consider cruise control in a car: it holds the speed you set far more steadily than your own foot, and will hold it straight into the back of a stopped vehicle, because judging the road was never its job. An AI agent works the same way. It does exactly what it is asked for, at speed, with no instinct for when something has gone wrong.\nWhere accountability breaks down\nThis is where the real challenge begins, and it has less to do with organisational charts than with accountability. When an agent makes a costly error, paying the wrong supplier or breaching a rule no one has set, the agent is not held responsible. The manager who deployed it is. Yet in most organisations, that manager cannot reliably see what the agent actually did, and being accountable for work you cannot observe is a difficult position for any leader.\nThere is a further risk. Left unwatched, little stops an AI agent drifting beyond the job it was given: slipping into other processes, reaching into data it was never meant to touch, and acting on what it finds. That is how a useful automation can quietly become a compliance problem. The safeguard is being able to see what each AI agent is doing, which is what keeps it in its lane.\nSingapore's regulators have put this front and center. IMDA's Model AI Governance Framework for Agentic AI makes keeping humans \"meaningfully accountable\" one of its four pillars, warning that an agent's autonomy can blur lines of responsibility once tied to fixed workflows. The means to observe an agent, review its work, and answer for it has to be designed in from the start, alongside the trust, security, and governance autonomous systems demand.\nThe workforce no one approved\nA second, quieter risk is worth naming. Because AI agents are cheap and simple to create, teams will build their own, each solving a local problem, until the business has an uncontrolled spread of tools with no central oversight, what we have come to call AI sprawl. The equivalent was shadow IT a decade ago, but agents have now raised the stakes because they can act on their own.\nThe answer is not to ban them, but to bring them into a system where they can be seen and governed. Singapore's public sector offers a model. As it prepares to put AI agents in the hands of some 150,000 public officers, GovTech is building a registry that tracks who owns each agent and what it does, before its use becomes widespread. It is, in effect, an accountability infrastructure put in place ahead of scale: you cannot manage what you cannot see.\nOrchestration before scale\nNone of this argues against AI agents. The productivity case is real, and those who hesitate will fall behind. What it should change is what leaders must prioritise. The common question is how many agents a business can deploy, and how fast. The better one is whether it can say, at any moment, what every agent is doing, and name the person accountable for it.\nMost inefficiency, and most risk, lives in transitions between agents, robots, and people. Addressing these calls for orchestration. Consider an airport: no one lets each pilot pick a runway and hope for the best-a control tower holds a complete view of every aircraft, the authority to set limits, and a record of every movement, so someone can always account for what happened. A workforce of agents needs the same: a single environment where people, robots, and agents work together; each agent's limits are set, every action is logged, and humans stay in the loop where it matters.\nThe sequence matters as the orchestration layer needs to be in place before agents are scaled, not after a regulator or a customer starts asking questions. Firms that rush the agents and defer the oversight will spend years managing avoidable problems-those that build it first can grow their digital workforce with confidence.\nThe most resilient organisations will settle on a clear division of labor: AI agents think, robots execute, and people lead. An AI agent can carry out almost any task it is given. What it cannot do is answer for the result. That stays with people, and it is worth deciding where it sits before the work begins.\nKarl Crowther is the area vice president for Middle East & Africa and South Asia of UiPath","kind":"highlight","is_publish_news":true,"is_publish_highlight":false,"is_publish_live":false,"is_publish_wemedia":false,"editions":null,"column":"","sentiment":"0","news_tag":"","news_rank":0,"isVideo":false,"video":null,"symbols":[],"gpt_button":0,"need_auth":false,"need_login_tip":false,"code":"91000000","status":"200"}}}