In most organizations running Microsoft Dynamics 365, testing is still seen as the domain of technical specialists. Functional consultants may define test cases, QA engineers automate them, and release managers ensure coordination. But a pressing question has emerged as businesses strive for agility:
This isn’t just a theoretical consideration. With the rise of no-code automation tools and AI-assisted platforms, enterprises are starting to hand over parts of the testing responsibility to their business users. But before jumping in, it’s critical to understand what this shift entails, where it works, where it doesn’t, and how to operationalize it effectively.
Business users understand their processes at a level of detail that test scripts can’t always capture. Whether it’s a finance lead verifying journal approvals or a supply chain manager checking warehouse receipts, the person closest to the workflow often knows best when something is off.
Traditional QA models introduce friction. Each change request, regression run, or new release often requires several handoffs. Business users describe the requirement, consultants write the scenarios, and QA scripts them — sometimes without fully grasping the business context. As a result, feedback loops are slow, tests are misaligned, and defects escape into production.
The promise of no-code platforms changes that. If users can record workflows, validate key steps, and re-run those flows independently — all without writing code — enterprises can unlock real speed and accuracy in testing.
That depends on the platform. In concept, no-code test automation is about enabling non-technical users to record, execute, and manage test scenarios without programming knowledge. But in enterprise reality, the stakes are higher: your system spans dozens of modules, hundreds of workflows, and frequent updates.
A business-ready no-code solution must go beyond simple recording. It must help users intelligently capture workflows, suggest validations, manage data variations, adapt to UI changes, and ensure coverage across roles, devices, and environments. This is where tools like Avo Assure stand out.
Avo allows business users to record D365 processes using an intuitive interface. But it doesn’t stop there. It uses AI to auto-suggest validations, self-heal broken flows when UIs change, and orchestrate test runs across different roles and data sets. What’s more, it integrates directly into CI/CD pipelines and generates dashboards that both QA teams and business users can understand.
Related Reading: Unlock the Key Features of Microsoft Dynamics 365 | Importance of Test Automation
Surprisingly, yes — provided the tool shields them from complexity while preserving the flexibility needed for enterprise testing.
Let’s take an example. A sales operations manager wants to test whether a CRM lead is properly converting into an opportunity, triggering a quote, and syncing correctly into Finance. This is a multi-step, multi-module process. In a traditional model, that test would need to be handed to QA. In a modern no-code platform, the same manager can:
The business user owns the process and validation. QA still reviews governance, performance, and edge cases, but the core validation happens upstream — closer to the business, and faster than ever before.
Many business workflows in D365 are interconnected, approval-based, and span across modules. For example, creating a customer in CRM could impact tax setups in Finance, and shipment visibility in SCM.
A capable no-code platform must support:
|
Workflow Type |
Can Business Users Test It Themselves? |
Platform Support Needed |
|
Simple UIs (CRUD) |
Yes |
Visual Recorder |
|
Conditional Approvals |
Yes (with templates) |
Workflow-based flow builder |
|
Cross-module flows |
Partially (with QA oversight) |
Reusable test blocks + variable mapping |
|
System integrations |
No (Requires QA) |
API monitoring/log review |
Takeaway: Business users can cover functional testing for over 70% of typical scenarios when the platform provides modular templates and guided flow control.
Business users typically do not build or test integrations directly. But they do rely on them heavily — whether it's an inbound data sync from an e-commerce platform or an outbound feed to a reporting tool.
In no-code platforms, integration points can still be validated functionally if the interface exposes enough behavior.
For instance, if a Power Automate workflow is triggered after a CRM record update, users can verify the expected status change or email notification without inspecting the backend logs.
|
Integration Type |
Who Tests It? |
Business User Role |
|
Native (Power Platform) |
Business + QA |
Validate triggers, emails, status changes |
|
API-based syncs |
QA/Dev |
Report anomalies, confirm output |
|
Custom middleware |
QA/Dev |
Provide business rules, acceptance criteria |
Important Note: Where backend payloads, response codes, or authentication layers are involved, business users should not be expected to validate integrations without technical aid.
Microsoft rolls out regular updates to D365 through monthly service updates and semi-annual wave releases. These often introduce UI changes, new fields, or workflow impacts — breaking traditional test scripts.
A modern no-code platform addresses this through self-healing test logic. This involves:
|
Feature |
Traditional QA |
No-Code with Avo Assure |
|
Script Breakage |
High |
Minimal |
|
Maintenance Overhead |
Manual re-scripting |
Automated healing |
|
Time to Validate |
3–5 days |
Same day |
|
Required Skills |
QA/Dev |
Functional User |
Impact: Organizations using platforms like Avo report 60% reduction in upgrade testing efforts during major D365 updates.
D365 environments often involve role-based access and localized workflows — finance in EMEA may use different tax codes than APAC, or sales processes may differ across countries.
No-code platforms must support:
Visualization: Below is a sample chart showing test coverage expansion using Avo Assure over a 3-month rollout.
| Business Unit | Month 1 | Month 2 | Month 3 |
|---|---|---|---|
| Finance | 30% | 60% | 90% |
| Sales | 15% | 50% | 75% |
| Supply Chain | 10% | 40% | 70% |
| HR & Payroll | 5% | 25% | 50% |
This phased approach lets business users scale test coverage without overwhelming teams or disrupting release cycles.
Yes — when the platform integrates seamlessly into your DevOps and governance framework. For example, Avo Assure offers:
Operational Alignment: No-code testing doesn't replace QA but embeds testing earlier in the lifecycle. It decentralizes execution while centralizing oversight.
There are boundaries. Business users are ideal for validating process behavior, UIs, workflows, and functional changes. But when it comes to:
These areas still require QA involvement or engineering oversight. A shared responsibility model works best, where business users own test creation and execution for their flows, while QA handles technical depth, regression orchestration, and escalations.
Of course, not everything shifts cleanly. Giving business users access to test environments and tools introduces new variables. Without proper controls, poorly designed tests, over-reliance on default settings, or incorrect assumptions about data can lead to unreliable results.
Governance is essential. A well-implemented platform should offer version control, access roles, audit logs, and approval workflows. This ensures that while business users can build and run tests, they do so within a framework that aligns with broader QA and compliance requirements.
Additionally, test data and environment setup must be abstracted in a way that users do not accidentally use sensitive or production data. Platforms like Avo allows data anonymization, environment switching, and role-based access to prevent such issues.
Related Reading: Is It Safe to Trust Automated Tests for Critical Interconnected D365 Modules?
The best approach isn’t to replace QA, but to extend testing capabilities into the business layer. A hybrid model works best. In this model:
This structure not only distributes testing across the enterprise but aligns it with real-world usage and change impact.
Related Reading: Why Automated Testing is Essential for Dynamics 365 Implementations | Best Practices & Tools
Yes — and this is where structured platforms prove their value. A scalable approach requires:
Avo supports all of this, making it possible for large organizations to roll out business-led testing across global D365 implementations without chaos.
Related Reading: Automate Your Dynamics 365 Regression Testing in Minutes
What Does a Realistic D365 Testing Rollout Look Like?
The transition doesn’t happen overnight. It involves both cultural and technical onboarding. A typical rollout might look like this:
With this approach, organizations often begin to see measurable value within the first 6 to 8 weeks.
To understand step by step guide in detail, please Download eBook: A Step By Step Test Automation Guide for Microsoft Dynamics 365
Organizations that have adopted business-led testing using platforms like Avohave reported:
This model also reduces costs in the long term by minimizing reliance on scripting-heavy frameworks that require constant maintenance.
Yes — if you provide the right tools, structure, and governance.
The goal is not to eliminate QA, but to bring testing closer to where the change happens. In an agile, continuously evolving D365 environment, the best feedback often comes from the business. When they can validate their processes themselves — safely, repeatably, and intelligently — the entire delivery pipeline becomes faster, more resilient, and more aligned with business goals.
With a purpose-built no-code test automation platform like Avo Assure, this isn’t a theoretical possibility. It’s an operational reality.
Avo Assure provides enterprise-grade, no-code test automation tailored for Dynamics 365, helping organizations:
Whether you are implementing Dynamics 365 for the first time or managing frequent updates, Avo Assure ensures seamless functionality, minimal risks, and maximum efficiency.
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