Athena
is live.
Hero now runs Oracle and Workday support — governed, end-to-end resolution, reporting, and configuration inside customers' existing systems. Not a chat layer bolted on top.
Dayos released Athena, version 2.0 of Hero, its agentic platform for Oracle and Workday support. Hero is a direct replacement for traditional Application Managed Services (AMS) contracts — not a chat layer bolted on top — and has been available to enterprise customers on Dayos' Starter and Pro plans since GA.
Athena makes Hero the front line for Oracle and Workday support: resolving and documenting tickets end to end, answering Oracle data questions in plain English, and carrying out governed Oracle reporting and configuration work through conversation.
Across every system
Hero investigates inside your own Oracle and Workday environment and carries the fix through — not a ticket handed back to a queue.
In plain English
Ask about Oracle data in plain language; Hero finds or builds the right report and attaches a confidence score instead of guessing silently.
Governed, on the record
Reporting and configuration through conversation — every write previewed as a SQL diff, validated against a dev or test environment first.
See Athena in action
Watch on YouTube →The ticket is no longer the destination
Enterprise support has run on the same machinery for two decades: tickets, queues, escalations, and teams of people billed by the hour. Legacy ERP software solves roughly 70% of what an organization needs — the remaining 30%, where customization, integration, and day-to-day exceptions live, is where AMS contracts quietly expand every year. Many newer AI tools make that machinery easier to use, but a person is still on the hook for finishing the work.
Athena changes the unit of work from routing a request to resolving the underlying problem. Hero can gather missing information, search historical tickets for related cases, investigate inside the customer's own environment, propose or execute the right fix, and leave a complete record of what happened and why.
Seven changes in Athena
Hero replaces legacy ITSM
Hero takes over as the front line for Oracle and Workday support tickets — triaging, resolving, and documenting them without a human in the loop for the majority of cases.
Conversational ticket creation & cross-ticket similarity
Describe an issue in plain English; Hero extracts every field, asks one clarifying question at a time, and checks ticket history for related issues before it ever opens a new one.
Report development inside the AI tools people already use
Ask any question about Oracle data in plain English inside Claude or ChatGPT (Microsoft Copilot distribution is rolling out in phases) and Hero finds or builds the right report — structure and SQL included — assigning a confidence score rather than guessing silently.
Autonomous query learning & cross-session memory
Hero generates, tests, and learns new queries daily, and remembers the reports and preferences it's used most.
Chart of accounts creation & automated COA deployment
Hero builds a complete Oracle chart of accounts from existing value sets, packages it as validated XML, and triggers the Oracle import job directly.
Five-step pre-action reasoning, session memory & a redesigned interface
Including a live view of Hero's thinking as it works.
Workday HCM queries (preview)
Natural-language queries against Workday data, scoped to each user's permissions — an early look at what's coming in Beacon. Workday support-ticket workflows ship at full support with this release; the conversational HCM query experience is the piece still in preview.
Built to act — and built to know when to stop
Agentic systems need more than accurate answers; they need explicit limits on what they can access, what they can change, and when a person has to take responsibility. This operating model — not just the feature list — is what's documented as a reference case in Section 2.1 of Singapore's IMDA Model AI Governance Framework for Agentic AI (v1.5), alongside case studies from AWS, DBS, Google, Workday, OCBC, Tencent, PwC, and GovTech.
The IMDA writeup describes how Dayos tiers its own internal ticket risk by impact, reversibility, and how practical human oversight actually is:
Low severity, fully reversible — password resets, access requests, status checks. Runs fully automated, with a reasoning trace on every action and biweekly human audits.
Chart-of-accounts updates, integration mapping fixes. Hero diagnoses and proposes, but a qualified engineer has to sign off before anything executes.
Production deployments, security changes. Hero doesn't touch these at all, for now.
Note on the 60% figure: this ties specifically to Dayos's internal Tier 1 category as described in the IMDA case study, not a blanket claim that 60% of all customer tickets across every deployment resolve autonomously.
Proven in Dayos's own environment first
Dayos used Hero to retire its own ServiceNow deployment in 45 days — eliminating $121,000 in annual legacy licensing costs — before ever selling the model to a customer. Hero now receives every internal IT request and either resolves it within its permitted boundary or routes it to the right person. That's a regulator naming Dayos as a working example of responsible agentic deployment in production, not just a company claiming to have done it.
"Enterprise support should improve as the platform learns, not become more expensive as queues grow. Athena changes the operating model from software that routes work to software that completes it — while preserving the permissions, controls, and accountability enterprises already depend on."
"Every ticket Hero closes is one your AMS provider doesn't bill for."
Two ways to deploy
Production-ready in about two weeks, delivering a 50% Oracle ticket backlog reduction within 30 days, 70% faster report development, and 50% faster SLAs.
Adds custom agent development, embedded forward-deployed engineering, and a contractually committed 60% sustained reduction in the active ticket queue by the end of year one.
Full support ships for Oracle and Workday at this release, with SAP targeted for January 2027. Work that still needs a human is billed separately.
Review Hero plans→What the press said
Startup Fortune covered the launch in June, framing Hero's bet plainly: most "AI support" today is a chat interface layered onto the same ticketing workflow customers already have. Hero is designed to act — combining Hero Answers (real-time answers), Hero Actions (agentic execution across enterprise systems), and Hero Experts (the human specialists who keep the system tuned) into a single loop from insight to action to continuous improvement.
The piece also flagged Dayos' cost model as a reversal of the standard AMS incentive: instead of getting more expensive as scope grows, Hero is designed to get cheaper as it learns, with a new agent added every year.
A market that's starting to move
Gartner'sThe ITSM Platform Migration Playbook When Leaving ServiceNow (Siddharth Shetty, May 25, 2026) is aimed at IT leaders reassessing their incumbent ITSM platform. Per the publicly available summary, Gartner points to large renewal cost increases, years of customization debt, and AI ambitions that depend on data foundations the incumbent platform struggles to provide as reasons some ServiceNow customers are exploring alternatives — and the report is written for organizations still weighing whether leaving makes sense, not only those who've already decided to go.
Athena offers a different proposition than a platform swap: rather than replace one human-centered ticket queue with another, it reduces how much support work needs to reach a human queue in the first place.
That last framing is Dayos's interpretation, not a Gartner conclusion. Gartner does not endorse any vendor, product, or service depicted in its research publications.
Athena is live, proven internally first, cited by a regulator as a model for responsible agentic deployment, and landing as analyst research on its target market catches up to the pitch.
Full release notes, fixes, and known issues are posted atdayos.com/release-notes-2_0. Questions and bug reports go to #oracle-help on the Dayos Slack — Hero is listening there too.
Dayos is an AI-native enterprise software company headquartered in Singapore, with operations in the United States. Its Hero platform uses agentic AI to automate support, reporting, configuration, and operational workflows across systems including Oracle, Workday, SAP, NetSuite, and Microsoft Dynamics.
Hero operates within customers' existing environments and access models rather than requiring replacement of their systems of record. Dayos is ISO 42001 and SOC 2 Type 2 certified and was published as a reference deployment in the IMDA Model AI Governance Framework for Agentic AI.