Every Microsoft Dynamics 365 F&SCM update carries a hidden cost that most enterprises realize too late. Whether it's broken test scripts, delayed release, or regression cycles taking up most of the time of QA teams, which can usually stretch for weeks.
Organizations that are running complex Procure-to-Pay workflows across multiple vendors, legal entities, and geographies, manual testing is not just inefficient; it’s also structurally impossible to perform at scale, and that is what businesses today need for flawless execution.
DynaTech’s P2P AI test automation agent is here to change this way of working entirely. Our agent is a self-healing tool that executes the full procure to pay automation lifecycle autonomously within Dynamics 365 F&SCM.
What you get is reduced regression cycles, zero script maintenance, and coverage of hundreds of scenarios that no team working manually can achieve, not to mention rapidly.
Copilot can Also Help With This? How’s the Agentic P2P Process Automation Different?
Indeed, Microsoft Copilot working within Dynamics 365 is a useful assistant, but only for surface-level navigation. You can use it to record summaries and for guided task completion.
But for ERP test automation, the demands are entirely different, and no off-the-shelf AI tool can help with that.
The way our AI agent executes your P2P workflow end-to-end is customized to your work process and requirements.
- It detects when a Microsoft UI update has broken a test path and repairs itself.
- It runs parameterized data-driven scenarios across hundreds of vendor and legal entity combinations without human intervention.
DynaTech's agent is purpose-built for procure-to-pay process automation at the testing layer.
Powered by Azure AI Foundry and Playwright MCP, it operates with full awareness of your D365 F&SCM environment and adapts to it autonomously, not as a general assistant, but as a specialized execution engine.
Key Capabilities of the P2P AI Test Automation Agent
1. Self-Healing UI Detection
Using Playwright MCP with self-healing selectors, the AI procure to pay agent detects interface changes automatically and adapts without requiring script rewrites or manual intervention. Your regression cycle continues uninterrupted regardless of the update cycle.
2. Data-Driven Parameterized Execution
Leveraging the capabilities of Azure AI Foundry, our agent runs parameterized test scenarios covering multiple combinations in parallel. This means it runs tests for different vendors, items, legal entities, purchase categories, and more. Where this would take a manual QA team weeks to cover, the AI agent can do the same quickly in a structured manner.
3. End-to-End P2P Flow Validation
Our AI agent does not conduct any test in isolation; instead, it executes and validates the procure to pay process automation, starting from purchase requisition to PO creation, goods receipt, invoice matching, payment release, as a single continuous workflow.
4. Test Authoring
All test cases you want to conduct are shared with the AI agent in plain English, allowing business users and consultants to describe what they need conveniently. The agent will interpret the intent and execute accordingly without using any scripting knowledge. This means zero dependency on the developer to translate the business scenario into a test case.
What Problem Does the Procure to Pay Automation Tool Solve?
If you have been running tests for your P2P process, you will agree that regression testing is one of the most resource-intensive exercises. In any Microsoft Dynamics 365 F&SCM environment, every update brings along a risk of breaking the existing workflows.
With the rapid pace of changes in the entire process, teams that rely on manual testing cannot keep pace. Teams that rely on traditional scripted automation face constant script maintenance after every UI change.
The result is delayed releases, reduced testing coverage, and compliance risk hiding in the scenarios no one had time to test.
What the P2P Process Automation Agent Actually Does?
DynaTech’s P2P AI Test Automation agent connects directly with the D365 F&SCM environment. It will execute the procure to pay lifecycle as an autonomous agent working as an intelligent execution engine that understands the workflow end-to-end.
- When UI changes >> the existing test script heals itself.
- When you need to test a new vendor combination >> it runs it from a data input, not a rewrite.
- When something fails >> it logs the failure with full context.
With the automation agent taking care of all this work, the QA team shifts from execution to oversight, and this means your release cycles won’t be held back by regression.
P2P AI Test Automation Agent in Practice
1. Scenario 1: Post-Update Regression Run in D365 F&SCM
Microsoft releases a platform update, and several UI elements in the procurement module are restructured. A traditional test script would fail immediately and require a developer to locate and fix each broken selector.
But, if you are employing DynaTech's agent;
- It detects the changes through self-healing UI detection
- Adapts its navigation paths
- Completes the full P2P regression run without a single manual fix
This saves you days of script maintenance before the release window closes.
2. Multi-Entity, Multi-Vendor Parameterized Testing
A manufacturing enterprise needs to validate its P2P workflow across 12 legal entities, 40 vendors, and 6 procurement categories before a regional go-live.
Doing all this work manually means resource and time-intensive QA work. But with our agent, you benefit from procure to pay process automation as it runs the full matrix as a parameterized data-driven execution, covering all combinations in a structured, automated run and surfacing only the actual failures for human review.
3. Scenario 3: Plain English Test Authoring for a New Business Process
Imagine a consultant needs to add a new approval step to the PO workflow and validate it across three vendor tiers. Rather than engaging a developer to write a new script, the consultant describes the scenario in plain English.
The agent interprets the requirement, builds the execution path, runs the validation, and returns the results, with no scripting involved at any stage.
Understand the Operational Impact of Our Procure to Pay Automation Agent
| Business Challenge | Agentic AI Solution |
| Regression testing across the P2P cycle takes weeks and holds up every D365 release. | The agent executes full end-to-end P2P validation autonomously, reducing regression effort by up to 80% and compressing timelines significantly. |
| Every Microsoft UI update breaks existing test scripts, forcing constant manual maintenance. | Self-healing selectors via Playwright MCP detect and adapt to UI changes automatically, eliminating script maintenance after updates. |
| Manually testing hundreds of vendor, item, and legal entity combinations is impossible at team scale. | Data-driven parameterized execution covers hundreds of scenario combinations in a single automated run, with no manual repetition required. |
| Business users cannot author or modify test cases without developer involvement. | Plain English test authoring allows functional consultants to describe scenarios directly, and the agent handles execution without scripting knowledge. |
| Test failures surface late, after manual runs have already consumed time and resources. | Failures are identified, logged, and contextualized automatically during each run, allowing teams to focus on actual exceptions rather than searching for them. |
How DynaTech’s ERP Automation Testing Works Technically?
The agent operates through Azure AI Foundry models, driving parameterized, data-driven test execution across the library.
- Playwright MCP provides browser-layer automation with self-healing selector logic that adapts to Dynamics 365 F&SCM UI changes without manual intervention.
- The agent navigates the full P2P flow inside your D365 environment, requisition, purchase order, goods receipt, invoice matching, and payment, as a connected, sequential execution.
- Test authoring inputs in plain English are interpreted by the AI layer and translated into executable workflow paths.
Once the tests are complete, results, failures, and run logs are surfaced to your QA and functional teams through their existing reporting environment, with no changes required to your D365 configuration.
Who Benefits from DynaTech’s P2P AI Test Automation Agent?
- QA and Testing Teams: They experience reduced manual regression workload and elimination of script maintenance cycles after every Microsoft update, replaced by supervised autonomous runs.
- Functional Consultants and Business Analysts: Non-technical professionals can now author and modify test scenarios in plain English. This gives them freedom from developer dependency and accelerates validation for new configurations and process changes.
- IT and ERP Implementation Teams: Utilizing end-to-end P2P coverage, IT and ERP teams benefit from faster, more reliable release cycles for D365 F&SCM updates and go-lives.
- Finance, Manufacturing, Retail, and Logistics: Operational teams in a workspace get the confidence that the Procure-to-Pay workflow has been fully validated across all relevant combinations before any release reaches the live environment, reducing operational risk downstream.
Deployment Approach of Finance Process Automation AI Agent
DynaTech configures the P2P AI Test Automation agent, ensuring it works with your existing Dynamics 365 F&SCM environment and that too, without making changes to your ERP architecture.
The agent is set up with;
In addition to this, test scenarios libraries are established based on your coverage requirements, and plain English authoring is available from day one.
The best part is that MS Teams is operational without disruption to live ERP workflows or ongoing release schedules.
The Result is Measurable, Not Theoretic
Imagine weeks of regression testing are compressed and completed through structured automated runs. Every Microsoft update is covered with self-healing, automated test scripts creation and running through hundreds of P2P combinations, and all are validated without adding any extra resources to your existing team.
That’s the power of a single Agentic AI system we will build, integrated with multiple AI use cases in finance.
These are outcomes and not just projections. They are the direct result of replacing manual testing cycles with an agent built for ERP automation at enterprise scale.
Frequently Asked Questions
What does "self-healing" actually mean in practice?
After every Microsoft update in UI elements, be it a button change, field position addition, or navigation path changes, the traditional scripts fail and need manual fixes.
Self-healing means that the agent detects the change and updates its own logic automatically. This ensures regression runs continue without interruption and developer intervention.
How many test scenarios or combinations can the agent realistically cover in one run?
The agent is designed to handle parameterized runs across hundreds of vendor, item, legal entity, and procurement category combinations in a single execution. The specific scope is configured during deployment based on your environment. Contact DynaTech for a detailed conversation around your coverage requirements.
How is AI used in test automation?
Using AI in test automation converts to the smart agent analyzing vast amounts of test data, pattern detection, and continuous learning, only to make autonomous decisions. AI fast-tracks the testing process while eliminating errors human testers may make during testing.
Can non-technical users actually author test scenarios in plain English?
Functional consultants and business analysts describe what needs to be validated in natural language. The agent interprets the intent and builds the execution path. No scripting, no coding, and no developer involvement is required for standard scenario authoring.
