SINGAPORE — May 22, 2026 — Dayos Pte. Ltd., a Singapore-headquartered enterprise AI automation company, today announced its inclusion as one of 14 industry case studies in the updated Model AI Governance Framework for Agentic AI (Version 1.5), published by the Infocomm Media Development Authority (IMDA) of Singapore on 20 May 2026. The framework was unveiled at ATxSummit during opening remarks by Singapore Minister for Digital Development and Information, Mrs Josephine Teo.
For Chief Financial Officers, the framework is a turning point in how enterprise AI spend can be evaluated. It defines, for the first time in a government-issued standard, what qualifies an enterprise system as truly agentic. The economics of systems that meet that bar are fundamentally different from the economics of the workflow automation category that has dominated enterprise back-office support for the last twenty years.
The cost structure most CFOs already seeA typical enterprise spends more than $1 million per year keeping a single Oracle Cloud or Workday tenant running through traditional managed services. That spend exists because the implementation sitting underneath it cost between $5 million and $40 million, and the support model that maintains it is built on senior consultants billing hourly. Across the installed base of more than 16,000 Oracle, Workday, SAP, and ServiceNow customers, cumulative implementation sunk cost totals approximately $320 billion. The labor that built those implementations is the same labor still billing the tickets that follow.
The per-ticket math, drawn from publicly available local government Oracle Cloud contracts, makes the structure visible: a single enterprise support ticket costs roughly $3,233 on average, with a range from $1,744 at the low end to $4,722 at the high end. Approximately 30 percent of every ERP runs on manual workarounds that cannot be self-served, and the labor pipeline behind this work is shrinking. Two million computer science students graduate globally each year. Almost none of them are trained on Oracle, Workday, or SAP.
Hero, Dayos's agentic platform, replaces both layers of this cost structure. Hero Starter is $60,000 per year, flat, with AI-resolved tickets free. A single year of Hero Starter costs less than twenty enterprise support tickets at the industry average. Hero Enterprise, which retires the original ERP implementation entirely and includes embedded forward-deployed engineers, is priced at $1.5 million to $3 million one-time, delivering the same scope that traditional system integrators bill at $5 million to $40 million.
The Dayos case study in the frameworkThe Dayos case study, featured in the framework's "Assess and bound the risks upfront" dimension, documents the retirement of the company's own ServiceNow ITSM instance in 45 days, reducing annual licensing costs by $121,000. The replacement is an AI-powered ticketing agent built on Hero that uses three distinct reasoning strategies depending on ticket risk:
- Tier 1 (60% of tickets): Low severity, fully reversible. Fully automated by the agent. Biweekly audits of reasoning chains and confidence scores.
- Tier 2 (30% of tickets): Moderate severity, partially reversible. The agent diagnoses and proposes a fix. A qualified engineer signs off before anything executes.
- Tier 3 (10% of tickets): High severity, limited reversibility. The agent does not touch these.
The tiering matches the framework's recommendation to bound agent autonomy by severity, reversibility, and feasibility of human oversight.
A procurement checklist, now public"The economics of enterprise back-office support have not been re-examined for thirty years," said Brad McElhannon, Founder and Managing Director of Dayos. “System integrators bill $5 to $40 million to stand up an Oracle or Workday implementation. Managed services vendors then bill another million a year, ticket by ticket, to keep it running. Hero replaces both surfaces on software economics. The IMDA framework gives finance leaders the technical criteria to identify which AI vendors can actually do this, and which are still selling labor.”
Dayos holds SOC 2 Type 2 and ISO 42001:2023 certifications, and is an approved vendor under Singapore IMDA's GenAI x Digital Leaders programme, which enables qualifying Singapore enterprise customers to receive 30 to 50 percent government reimbursement on AI projects.
Dayos is an enterprise AI automation company headquartered in Singapore with operations in the United States. The company builds Hero, an agentic platform that sits on top of Oracle, Workday, and other enterprise systems to automate workflows across IT management, accounting, HR, and procurement. Founded in 2020 by Brad McElhannon, former Head of Finance Engineering at Robinhood, Dayos counts financial services, real estate, logistics, and retail enterprises among its customers. The company holds SOC 2 Type 2 and ISO 42001:2023 certifications.
For more information, visit dayos.ai.