A team member exports ecommerce orders, checks stock in an ERP and emails exceptions to fulfilment. When you start looking for custom software development in Melbourne, that daily handoff is a useful place to begin. Write down where the work stalls and what someone has to do to move it forward.
The first conversation with a development team should turn that problem into a release you can evaluate. Which systems are involved? What would staff stop doing manually? Who will handle the cases the software cannot complete? These questions help you compare proposals on the work they cover.
Our custom software overview explains when a tailored application may be worth considering. This guide focuses on the next step: preparing a scope, choosing a first workflow and agreeing on how it will be delivered.
Bring the current process to discovery
Before asking for a feature estimate, collect a few examples of the work as it happens today. An order that went through smoothly is useful. An order that needed three phone calls is useful too. Use redacted or synthetic examples where records contain customer or commercially sensitive information.
Bring a short inventory of the systems involved: your ecommerce platform, CRM, ERP, accounting software, supplier feeds and any spreadsheets that bridge them. Note who owns each system and whether your team can access its integration documentation. A working API, a periodic file export and a screen that staff use manually offer different implementation options.
For a Melbourne team coordinating with a local delivery partner, agree on practical meeting and support arrangements early. Identify the staff who can explain the workflow and make decisions, then book time when they can attend. Record the time zone for scheduled jobs and handovers, including how daylight saving changes should be handled.
A useful discovery pack includes:
- One process map showing the trigger, handoffs and completion point.
- Sample input and output records, with sensitive details removed.
- Common exceptions and the person who currently resolves them.
- A baseline such as handling time, failed orders or reconciliation effort.
- Known constraints, including permissions, launch dates and support availability.
Choose a first release with a clear boundary
Consider a hypothetical parts importer receiving supplier catalogues in several formats. It sells through an ecommerce store and records orders in an ERP. Staff correct product identifiers, check prices and rekey orders when the systems disagree.
A request to automate the whole operation leaves too many decisions open. A more useful first release might accept one supplier feed, validate required fields and send uncertain records to a review queue. The team can assess that workflow before adding more suppliers or automating order transfer.
Write the boundary in plain language. State which supplier, store, record types and users are included. List the manual steps that remain during the first release. Agree on what happens to work already in progress when the new system goes live.
This also helps you decide whether you need a new application. Configuration changes or a focused systems integration may be sufficient. For parts businesses, review the scope of an existing Pinnacle Parts integration before commissioning overlapping functionality. Check the supported platforms, sync schedule and order requirements for your specific setup.
Decide which system owns each piece of data
Two systems may use the same word for different things. Available stock might exclude reserved items in one platform and include them in another. An order marked complete could mean paid, packed or dispatched. Those definitions belong in the scope.
For each important field, record the source, destination, transformation and owner. Decide which system is authoritative for product identifiers, stock, pricing and customer details. Explain how a user correction in one system should affect the others.
Timing matters as much as field mapping. Agree on how old data can be before it becomes unsuitable for the workflow. A reporting job may tolerate an overnight update; a stock-dependent order process may need a shorter interval and a clear response when fresh data is unavailable. Confirm what each platform can actually support before promising real-time behaviour.
Finally, define failure handling. If a catalogue has a missing SKU or an external API is unavailable, decide whether to reject a record, pause a batch or queue work for retry. Assign an owner to the exception queue. Our workflow automation guide covers these handoffs in more detail.
Make acceptance criteria observable
An acceptance criterion should describe something the team can demonstrate. “Easy to use” is difficult to test on its own. “An operations user can identify a rejected catalogue record, see the reason and resubmit it after correction” gives the demonstration a clear purpose.
For the hypothetical importer, a first release could be checked against these scenarios:
- A valid supplier record reaches the intended destination with the agreed field values.
- A record missing a required identifier is held for review with an understandable reason.
- Reprocessing the same input does not create an unintended duplicate.
- An interrupted transfer can be recovered without losing the unresolved work.
- A user without the relevant permission cannot approve or change a record.
Add the business measure you will compare after launch. Record the current handling time and agree on how to measure it again. Treat the improvement as something to verify with actual use, rather than a guaranteed saving in the proposal.
Keep AI tasks specific and supervised
AI may help with part of a workflow, such as drafting a summary of an incoming request or suggesting a category for an exception. Put the proposed input, output and review point in the scope so the team can evaluate the result.
Agree on representative examples and on what should happen when an output is incomplete or wrong. A confidence score alone does not establish that an answer is correct. A person should check outputs before they affect commitments to customers, prices or other consequential decisions.
Codex's AI approach places responsibility for reviewed outputs with people. If an ordinary rule or validation check meets the requirement, include that option in the discussion too.
Compare proposals on delivery and ongoing ownership
An estimate is easier to assess when it makes its assumptions visible. Ask what discovery covers, what will be demonstrated during development, which integrations depend on third-party access and what would change the estimate. Confirm who supplies test data and who signs off the workflow.
Compare ongoing costs as well as the initial build. Hosting, monitoring, platform subscriptions, maintenance and staff time can all affect ownership. A custom system may solve an awkward process, but it still needs someone to respond when an external service or business rule changes.
Before launch, agree on:
- The release checklist and person responsible for the launch decision.
- A recovery plan if the new workflow cannot complete its work.
- Monitoring, alerts and the route for reporting an incident.
- Training and documentation for operators and administrators.
- Support hours, response expectations and ownership of future changes.
Use a demonstration with realistic exceptions to close the loop. Let the people doing the work try the release, record what remains unresolved and decide whether the agreed acceptance criteria have been met.
Start with a workflow you can explain
Codex builds custom software and integrations around existing business tools. Our services and delivery process begin with understanding the systems and the work they need to support.
For your first discussion, bring one recurring problem, the systems it touches and an example of a successful outcome. From there, you can agree on a manageable release, test it against the real process and decide what to improve next.