If you are evaluating an Opkey alternative, the decision comes down to one architectural question: do you want a library of tests someone else wrote for a generic ERP, or agents that generate tests against your actual configuration and keep them working as your system changes?
Sofy is built on the second model, and for SAP and Dynamics 365 environments it is the more durable one. There is no library to select from, configure, or curate. You describe a business process in plain language, and a module-specific agent generates the test, executes it, validates the outcome at the data layer, and adapts automatically when your ERP changes. The test estate does not accumulate maintenance debt because there is no static estate to maintain.
This page sets out what Sofy delivers, how the agent model differs structurally from Opkey’s pre-built library approach, and what teams consistently report as the limitations that push them to look elsewhere.
What Sofy Delivers for ERP Test Automation
Sofy’s ERP test agents are purpose-built for SAP and Dynamics 365, with module-level depth rather than generic ERP coverage.
Module-specific agents, not generic templates
Dedicated agents exist for Dynamics 365 Finance, Supply Chain, Sales, Customer Service, Commerce and MS Business Central, and for SAP FI/CO, MM, SD and HCM. Each understands the business logic of its module, what a correct journal posting looks like, what a compliant approval chain requires, what acceptable variance in automatic account determination is. That is a different proposition from a test case written against a vendor’s reference implementation.
Validation at the data layer, not the screen
Sofy asserts on business outcomes: that the entry posted to the correct account and period, that dimensions resolved correctly, that sub-ledger reconciles to the general ledger, that the purchase order routed to the right approver. Screen-level automation confirms a button worked. Data-layer validation confirms the business ended up in the correct state, which is the only assertion that catches the defects that matter.
Proactive adaptation through release waves
SAP ships quarterly support packs. Microsoft ships biannual release waves plus monthly quality updates. Sofy’s agents detect these changes and adapt their validation logic before tests fail, rather than failing first and waiting for someone to repair them. Coverage does not develop gaps between update cycles, and there is no post-wave remediation sprint.
Native cross-module validation
Real ERP processes span modules. An order-to-cash flow touches Sales, Finance and Supply Chain; procure-to-pay spans procurement, warehouse and accounts payable. Sofy’s ERP test agents collaborate across module boundaries to validate these as single connected flows, catching the handoff failures that module-by-module testing structurally misses.
Audit-ready evidence with every validation
Each validation produces a timestamped, immutable record, what was tested, what the expected outcome was, what actually happened, and whether it fell within approved tolerances. As autonomous agents increasingly post to the ledger inside ERP systems, that evidence trail is what satisfies SOX control requirements rather than a narrative explanation.
No code, and no library either
Business analysts and functional consultants generate coverage directly by describing processes in plain language. There is no scripting, and equally no library curation, no pruning stale cases, no reviewing pre-built coverage after each update, no gap analysis to work out what the library does not include.
The Architectural Difference: Agents Versus Pre-Built Libraries
Opkey’s model gives you a library: thousands of test cases written in advance for a generic implementation of your ERP, which you then select from, configure to your environment, and maintain indefinitely. Sofy’s model generates tests against your environment on demand. The two behave very differently over time.
| Sofy, Agent Generation | Opkey, Pre-Built Library | |
| Fit to your configuration | Generated against your actual environment | Generic baseline requiring configuration to fit |
| Custom processes | Described like any other scenario | Not in the library, build them yourself |
| After a release wave | Agents adapt automatically | Library needs review, update and gap analysis |
| Ongoing effort | Near-zero, nothing static to maintain | Perpetual curation of the test estate |
| Validation depth | Business outcomes at the data layer | UI-layer execution of pre-written steps |
| Cross-module flows | Native agent collaboration | Manually configured across separate cases |
| Trajectory over 3 years | Non-depreciating, adapts as ERP evolves | Depreciating asset requiring continuous upkeep |
A pre-built library is at its most valuable on the day you buy it. A Sofy agent is at its most in year three.
The custom-process row is where the gap is widest, and it is the one buyers most often discover late. A library covers standard processes as the vendor implemented them. Your genuinely differentiating workflows, the approval chain built for your regulatory context, the fulfilment logic specific to your business model, are by definition not in anyone’s library. Those are usually your highest-risk flows. Sofy generates coverage for them the same way it generates coverage for anything else: you describe them.
Why Teams Move From Opkey to Sofy
Beyond architecture, four themes recur consistently in verified Opkey user feedback, and they compound for exactly the buyer Opkey targets, the business user expected to self-serve.
- Documentation gaps. Reviewers consistently cite a lack of comprehensive documentation. For a platform sold on enabling non-technical users to work independently, thin documentation undermines the core promise, self-service requires something to self-serve from.
- Limited community. Users specifically report wanting a larger online community, which compounds the documentation problem: when official docs are thin and no substantial community exists, an unusual problem means a support ticket rather than a search result. Independent market data supports the scale point, Opkey’s mindshare in the Test Automation Tools category stood at 1.2% as of May 2026, unchanged year over year.
- Performance friction. Slow loading times appear repeatedly in reviewer feedback, not a blocker, but the kind of daily friction that accumulates for heavy users and erodes adoption.
- Reliability. Reviewers report occasional software glitches. That carries particular weight in a testing platform, because unreliability in the tool that verifies your reliability is uniquely corrosive to confidence in results.
Sofy’s position on each is straightforward: agents are generated and supported directly rather than self-served from documentation, validation runs on cloud infrastructure built for execution at volume, and there is no static library whose behaviour can drift out of step with your environment.
Sofy vs. Opkey: Capability Comparison
| Capability | Sofy | Opkey |
| Core model | Agents generate against your live configuration | Pre-built library plus no-code builder |
| ERP depth | Module-specific agents validating business logic | Generic per-ERP baseline coverage |
| Validation layer | Data layer, postings, dimensions, reconciliation | UI layer, executes pre-written steps |
| Custom processes | Described in plain language like any other | Build them yourself, outside the library |
| Self-healing | Proactive, adapts before failure occurs | Reactive, repairs after breakage |
| Release-wave handling | Automatic adaptation, no remediation sprint | Library review, update and gap analysis |
| Cross-module validation | Native, agents collaborate across modules | Manual configuration across separate cases |
| Audit evidence | Timestamped immutable record per validation | Reporting available; not validation-level by default |
| Ongoing maintenance | Near-zero, no static estate | Perpetual library curation |
| Coding required | None | None |
| Web and mobile testing | Core product lines alongside ERP | Mobile via pCloudy addition |
Depth Where Your Estate Actually Is
Opkey markets coverage across 12+ ERPs. Sofy concentrates on SAP and Dynamics 365 with module-level agents, plus web and mobile.
That concentration is deliberate, and for most buyers it is the better trade. Breadth across a dozen ERPs is only valuable if you run a dozen ERPs. What it costs, always, is depth: a library spread across twelve platforms is generic on each of them, because generic is the only way to cover twelve. It cannot encode what a compliant three-way match looks like in your SAP configuration or how your D365 period-close dependencies are sequenced, that knowledge lives in module-specific logic, and module-specific logic does not scale to twelve ERPs.
If SAP or Dynamics 365 is where your business runs, you are paying for eleven ERPs of coverage you will never execute, and accepting shallower validation on the one that matters. Sofy inverts that: full module depth on the platforms in your estate.
Total Cost of Ownership
Neither platform publishes list pricing, both route enquiries to sales, as most enterprise testing platforms do. So the comparison that informs a decision is three-year total cost, not the initial quote.
Opkey’s consistently-cited strength is low initial setup cost. That is a day-one number. The cost it does not include is library curation: pruning stale cases, extending coverage to processes the library omits, reviewing and updating after each release wave, and running gap analysis to establish what is not covered. Industry benchmarks put test maintenance at 30–50% of build cost annually, engineering time that never appears on an invoice but reliably appears in a sprint.
Sofy removes that line item structurally. There is no library to curate, so the maintenance component of TCO trends toward zero rather than compounding annually. Over three years that difference typically exceeds any licence differential in this category, which is why the sensible evaluation is a fully-loaded three-year model rather than a comparison of first-year quotes.
One practical suggestion when evaluating either platform: ask for a reference customer at month twenty-four rather than month three. Month-three references describe onboarding. Month-twenty-four references describe whether maintenance stayed manageable, which is the number that actually determines what you paid.
Migrating From Opkey to Sofy
The migration is straightforward, because there is no model layer to unwind and nothing to import.
Your configured Opkey cases are a specification: they document which processes your organization decided matter and what correct looks like for each. That converts directly into plain-language scenario descriptions for Sofy’s agents. The prioritization work already invested in selecting and configuring cases from the library is exactly the input the migration needs, none of that thinking is wasted.
Most teams run both platforms in parallel for a release cycle or two, growing agent coverage against the same prioritised process list, then retire Opkey licences at renewal. Renewal timing usually drives the schedule more than technical readiness does, so it is worth planning backwards from the contract date.
Teams typically reach coverage of their highest-risk workflows within one to two weeks of environment setup, with full automated coverage ahead of their next release wave inside four to six weeks.
Other Platforms You May Be Comparing
Opkey is most often evaluated alongside these, and Sofy is frequently the shortlist alternative to each:
- Tricentis Tosca. Broader technology coverage at materially higher cost and complexity, with a model layer your team builds and maintains. Sofy removes that modelling phase entirely.
- Leapwork. Visual no-code flows that a human still designs and maintains, with a Microsoft D365 partnership. Sofy removes the flow-design step.
- Katalon. Lower cost with Selenium/Appium compatibility, and less ERP-specific depth than either Opkey or Sofy.
For the full landscape in one view, the three-way ERP test automation comparison covers Tricentis, Leapwork and Sofy together.
The Narrow Case for Staying
To be straightforward about the one scenario where a pre-built library genuinely wins: a time-boxed legacy migration across several ERPs at once, Oracle EBS to Fusion alongside ECC to S/4HANA, for instance, where you need high-volume baseline coverage fast and the project has a defined end date. Library depreciation matters far less when the engagement concludes before the depreciation compounds. Outside that specific shape, the maintenance burden a library imposes runs for as long as you own the ERP.
Frequently Asked Questions
What is the best Opkey alternative?
For SAP and Dynamics 365 estates, Sofy, because agents generate tests against your actual configuration and adapt through release waves, removing the library curation that drives Opkey’s long-term cost. Tricentis Tosca is the closer match if you specifically need coverage across many ERPs, though at significantly higher cost and complexity with a model layer to build and maintain.
How does Sofy compare to Opkey for SAP or D365?
Sofy provides module-specific agents, SAP FI/CO, MM, SD, HCM; D365 Finance, Supply Chain, Sales, Customer Service, Commerce, Business Central, that validate business outcomes at the data layer and adapt automatically through support packs and release waves. Opkey provides generic pre-built baseline coverage across those ERPs alongside ten others, executed at the UI layer, with a library your team curates.
Is a pre-built test library better than generating tests?
Generation is the more durable model. A library is fastest on day one and then depreciates, it needs curating as your ERP changes, and it structurally cannot cover the custom processes that differentiate your business, which are typically your highest-risk flows. Sofy generates against your current configuration each time, so coverage stays aligned without upkeep.
How much does Opkey cost compared to Sofy?
Neither publishes list pricing. Opkey’s cited strength is low initial setup cost, which is a day-one figure that excludes library curation, benchmarked industry-wide at 30–50% of build cost annually in engineering time. Sofy removes that component structurally, so the meaningful comparison is fully-loaded three-year cost rather than the initial quote.
What are the main complaints about Opkey?
Verified reviewer feedback consistently cites four themes: lack of comprehensive documentation, limited online community support, slow loading times, and occasional software glitches. The documentation and community points compound each other for the non-technical users Opkey targets, since self-service depends on having something to self-serve from.
Can we migrate Opkey test cases to Sofy?
Yes, and more easily than from model-based platforms since there is no model layer to unwind. Your configured Opkey cases document which processes matter and what correct looks like, which converts directly into plain-language scenario descriptions for Sofy’s agents. Most teams run both in parallel for a release cycle or two and time the switch to renewal.
The Bottom Line
The choice between Sofy and Opkey is not really about features. It is about whether your ERP test estate should be a static asset you maintain or a capability that adapts on its own.
A pre-built library hands you coverage written for someone else’s ERP, which you then configure, curate, and update for as long as you own the system, and which cannot reach the custom processes carrying your highest risk. Sofy’s agents generate against your configuration, validate business outcomes at the data layer, collaborate across modules, produce audit-ready evidence, and adapt through every release wave without a remediation sprint.
If SAP or Dynamics 365 is where your business runs, depth on those platforms is worth more than breadth across ten you don’t, and coverage that maintains itself is worth more than coverage you inherit.nnels, the Finance entry balanced, is a different question, and it is answered at the data layer, across modules, not inside the agent’s own decision log.
See Agent Generation Against Your Own Configuration
No library to select from or curate, describe a process and watch an agent validate it in your actual SAP or D365 environment.
