Define what growth means for your business.
Scalability is more than handling extra visitors. A growing business may need more staff accounts, larger product catalogues, new branches, additional integrations, or a more complex approval process. Write down the changes you expect before choosing a platform.
Describe one complete workflow: who starts it, what information they provide, who makes decisions, and how the work finishes. Include exceptions such as a cancelled order or an incomplete customer record. This gives a development partner something concrete to design around.
Ask for relevant work, not only a technology list.
A polished homepage does not tell you how a product handles the work behind it. Ask to see a system with similar operational needs and discuss what the team actually delivered. For an ordering platform, that could include a catalogue, order processing, staff tools, and backend APIs.
Our MasuBox commerce project and Mero Shopping backend case study illustrate two types of commerce work in the Erys Labs portfolio. Use examples like these to discuss the scope your own business needs.
Check integrations and data ownership early.
List the tools you already use and the information that must move between them. Ask whether those tools provide usable APIs, who maintains the connections, and what happens when a connection fails. A proposal should distinguish confirmed integrations from assumptions that still need investigation.
Agree who owns the source code, database, domain, and hosting accounts. Ask how you can export your data and what documentation another developer would need to maintain the system. These decisions are easier to make before development than during a handover.
Make reliability and access part of the brief.
Different users should have access appropriate to their responsibilities. Discuss staff roles, sensitive data, backups, and recovery expectations alongside the interface. If your business has busy periods, describe the expected activity so the team can plan realistic performance checks.
Ask what is monitored after release and who responds to a failure. Avoid accepting a general promise that a product is scalable without a clear explanation of its expected workload and how that expectation will be verified.
Use AI where the workflow benefits.
AI can assist with processing images, documents, or other repeated inputs. It also needs a review process when errors matter. Ask which decisions remain with a person, how outputs are checked, and how costs change as usage grows.
The Pixora photo production project is an example of an AI-assisted workflow in our portfolio. The useful question is whether an AI step improves your specific process, rather than whether every feature can carry an AI label.
Compare proposals using the same questions.
- Which workflows and user roles are included in the first release?
- Which integrations are confirmed, and which need discovery?
- What deliverables and acceptance checks define completion?
- Who owns the code, data, and infrastructure accounts?
- What hosting, third-party, and support costs continue after launch?
- How will staff be trained, and how are future changes handled?
The best partner for your business is the one whose experience, scope, and working process fit the problem. Start with a focused release that solves a real need and leaves a clear path for later improvements.