A process automation platform is the software where automated workflows are designed, executed and monitored, connecting a company's systems (ERP, CRM, email, files, portals) and reducing manual intervention. The right choice depends less on the feature list and more on three questions: does it integrate with what the company already has, who will maintain it, and what does it really cost after three years. This article organises these criteria in a practical way.
Start with the process, not the tool
Before comparing platforms, you need to know what you want to automate. A well-chosen process has volume, understandable rules and a measurable manual cost. Without that, any platform looks good in the demo and disappoints in production. Choosing the first case is covered in detail in where to start automating processes; here we assume that work is already done and the question is the tool.
It is also worth distinguishing between families of tools before comparing them: classic RPA, AI-powered automation and low-code solve different problems (see RPA vs intelligent automation and low-code vs process automation). Comparing an RPA platform with a low-code one is like comparing a drill with a cement mixer.
Which criteria set platforms apart in practice?
In evaluation, these are the criteria that set platforms apart once a process reaches production:
| Criterion | What to check | Warning sign |
|---|---|---|
| Integration | Connectors for the systems the company already uses, and an open API for the rest | Integrations "on the roadmap" or only via file exports |
| Human oversight | Approval and review checkpoints at steps with business impact | "All or nothing" automation, with no possible intervention midway |
| Monitoring and errors | Alerts, execution logs and failure recovery | Flows that fail silently and are only discovered days later |
| Security and GDPR | Where data is stored, who can access it, European infrastructure | Data flowing through services without contractual guarantees |
| Scalability | Cost and effort of going from 1 to 10 processes | Each new process costs almost as much as the first |
| Vendor lock-in | Ease of exporting data and logic if you need to leave | Closed formats and no clear exit migration path |
Not every criterion carries the same weight in every company. A good practice is to pick the three most critical for the context (for example, ERP integration, exception handling and data security) and screen against them first: a platform that fails on a critical criterion does not make up for it by excelling at the others. The remaining criteria are used to break ties between finalists.
Total cost of ownership
The licence is the visible part of the cost, but it is rarely the largest. Over a three-year horizon, the licence commonly accounts for less than half of a process automation platform's total cost. The rest is spread across:
- Implementation: designing, building and testing the flows. For a well-defined first process, a 4 to 8 week pilot is a realistic timeframe.
- Maintenance: the connected systems change (ERP updates, new document formats) and the flows must keep up. Setting aside the equivalent of 15 to 25 percent of the initial investment per year is a prudent benchmark.
- People: someone has to monitor executions, handle exceptions and evolve the flows. This cost always exists, whether it sits in-house or is bundled into a service.
The return calculation should factor into the decision from the start, using the process's current manual cost as the point of comparison (see how to calculate automation ROI).
Build, buy or delegate
With the criteria clear, three paths remain:
- Build in-house: maximum flexibility, but requires a dedicated technical team available to maintain what it builds.
- Buy a platform and operate it: suitable when a team exists to design and monitor the flows, and volume justifies the learning curve.
- Delegate to a partner with its own platform: the company defines the process and validates the results, the partner builds and maintains it. This is Engibots' model with EngiMatrix, its proprietary automation platform: processes are automated to measure, with human oversight at decision points, without the company needing to build an in-house automation team.
No path is superior in the abstract. For most SMEs, the deciding factor is whether or not there is in-house technical capacity with time to maintain automation in production.
Common mistakes when choosing
- Choosing based on the demo: any platform shines in a prepared scenario. Always ask for a pilot with real data and systems.
- Ignoring exceptions: the normal process is easy; the value lies in how the platform handles the 5 to 15 percent of cases that fall outside the rule.
- Underestimating maintenance: automation is not "set and forget". Who maintains the flows when the ERP changes?
- Buying for imagined needs: paying for capacity that might one day be used raises the cost of the decision without reducing risk (see also mistakes when implementing automation).
Frequently asked questions
Is a general-purpose platform better than a custom solution?
It depends on in-house capacity. A general-purpose platform gives autonomy to those with a team to operate it; a custom solution delivered as a service shifts that responsibility to the partner.
How long does it take to put the first process into production?
With a well-defined process and accessible systems, a 4 to 8 week pilot is a realistic timeframe for supervised production.
Does the platform need to have artificial intelligence?
Only if the process requires it, for example documents with varied formats or free text. For fixed rules and structured data, traditional automation remains simpler and cheaper.