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Is the change safe
and can you prove it?
Before users ever feel it.
ATP360 validates any change the way a user would use it — every app, every environment, inside your own Azure tenant.
No scripts. Evidence a regulator will accept.
The Ripple of Change
A change is never just a patch
One update can break a workflow. That workflow breaks an application. The application breaks the workspace. And every ring outward, the same story: the user gets disrupted, then the business does.
The cheapest place to catch the ripple is before deployment — it gets more expensive at every ring
Ring 1: The Application
A shared component moves; something that depended on the old behavior breaks.
Ring 2: The Workspace
Dependencies, policies, identity carry the change through the estate.
Ring 3: The User
Somebody can't finish their work. This is the first place anything alerts.
Ring 4: The Business
Lost productivity, service-desk load, revenue at risk — and a regulator asking what you knew before you deployed.
Change Moved to Machine Speed. Validation Didn't.
ATP360 Closes that Gap.
Every patch, update and policy change used to get a 15-day runway. Now it gets one hour.
No change board on earth convenes in an hour — but change ships anyway.
Fifteen days became one hour. No change board convenes in an hour.
Manual passes reach maybe a third of high-risk paths per cycle.
No audit-grade proof validation happened — one regulator request from risk.
Ship unvalidated and absorb what breaks. Most enterprises quietly do.
The AI Assurance Layer
sits between CTEM and DEX/ITSM.
Security tools find and fix exposure. DEX and ITSM catch the impact after users feel it.
ATP360 closes the gap: proving changes are safe before deployment, with human-approved evidence and seamless ServiceNow and Intune integration.
Find & fix.
Identifies the exposure, ships the remediation.
Proves the change is safe.
Before it reaches users and produces the evidence. This is ATP360.
Feel & react.
Detects and resolves impact after users have felt it.
Unknown workflow in. Validated evidence out.
Start with what you have.
- Bring a document, a screen recording, or plain English.
- No scripts to write. No test engineers to hire.
- ATP360 converts it into validation logic with defined success criteria.
Validate like a person would.
- Applies your real change to a pre-production mirror, then reads the screen and reasons about success.
- When the Save button moves, a script stops. ATP360 finds it and finishes.
- Legacy, UI-only apps no API can reach — on physical endpoints and virtual.
Autonomous execution. Human decision.
- Audit-grade package per run: recording, screenshot trail, action log, verdict, risk score.
- A named human reviews it and makes the call.
- Nothing deploys without sign-off.
Parser — turns PDFs, videos, and written instructions into a machine-ready plan: steps, dependencies, success criteria.
Orchestrator — checks agent logs against live screenshots, catches false successes, and guides recovery without restarting.
Execution layer — runs in your Azure tenant, limited to pre-production, with step, retry, and cost ceilings you set.
If it can change your workspace, ATP360 can validate it.
Windows builds & images
OS builds, feature updates, AVD and Windows 365 refreshes — before ring deployment.
Patches
Monthly cycles, out-of-band CVE fixes, regression checks inside the SLA window.
Applications
Installs, dependencies, and the real user workflows that run your business — including legacy and UI-only apps.
Policy & configuration
Intune policies, security settings, identity and configuration drift.
Validated per change, in your tenant, on real endpoints — physical and virtual.
Weeks become minutes. Assumptions become evidence.
Speed
Economics
in our design partners’ experience
metered end to end
Evidence
Every run produces the package an auditor asks for — session recording, screenshot trail, action log, verdict, risk score — and when the result is qualified it says so: Conditional Pass, with the reason attached. Honest verdicts, not green lights.
Control
Your tenant. Your data. Your control. Execution is restricted to pre-production, with no shared models, local LLM support, secrets sealed, and named-human sign-off before anything deploys.
Don't take the claim. Take the demo.
Bring us a real workflow. Ask us to move the button.
Watch ATP360 adapt — live, unscripted, in your environment.
It reasons — so break it and watch.
Proven where it's hardest.
Validate Live
unscripted in your environment
A real run, not a demo reel — full builds, a single app, or a business workflow, validated the way a user would use it, inside your own tenant.
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Recovers, not retries: when something breaks mid-run, it reasons through it and finishes the job
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Evidence, not checkmarks: 26 audit-grade files per run, with a verdict and risk rating
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Metered to the penny: this 13-stage validation ran $10.86, end to end
See ATP360 in Action
Watch a short demo
Book Live Demo
Frequently Asked Questions
Is this just smarter RPA?
No. RPA executes predefined paths and breaks when the UI changes. ATP360 is a reasoning engine — it observes the environment, interprets intent, and adapts when something unexpected happens. When it fails, it performs root-cause analysis. RPA is a workhorse. ATP360 makes judgments.
How do you prevent AI hallucinations in our environment?
Governed AI, not unrestricted automation. You set hard thresholds — step caps, cost limits, retry maximums. ATP360 is restricted to pre-production environments. Every action is inspectable and auditable.
Where does our data and application logic go?
Nowhere outside your boundary. Execution agents run inside your Azure tenant. We support local LLM deployment so sensitive application data never leaves your secure perimeter.
Do we have to write scripts for this to work?
Zero scripts. The Parser ingests your existing documentation, videos, or notes and converts them into structured validation logic.
Does this replace our Microsoft Intune or AVD investment?
No — it extends it. Microsoft manages your deployment. ATP360 validates the behavior of what you just deployed. It fills the validation gap that Intune and ConfigMgr weren't designed to solve.
How do we prove this to auditors?
Every run produces transparent audit logs — step-by-step reasoning traces, timestamped screenshots, and JSON execution records. Forensic-ready evidence, not a black box.
