Requests and quotes
A submitted form triggers a check for missing information. A complete request goes to someone who reviews the content and approves the quote.
Tixer helps companies in Belgium and the Netherlands automate business processes, from requests and approvals to planning and follow-up. We define what starts a workflow, which checks run automatically and when a person must decide.
Every step has an owner, a status and a clear next action. No one has to reconstruct progress from scattered emails.
Start with recurring work that has clear inputs and a recognisable outcome. These are possible workflows; we agree the exact rules and exceptions together.
A submitted form triggers a check for missing information. A complete request goes to someone who reviews the content and approves the quote.
A new request gets a reviewer according to agreed rules. Work continues only after approval; rejection includes a reason and a response to the requester.
A status change makes the next task available. An overdue deadline can trigger a reminder; the responsible person assesses delays or changes to the plan.
A good process doesn't have to run without people. Reviews, exceptions and final approvals can remain in your team's hands.
One current status for each request
Less duplicate entry across systems
Clear responsibility at each step
We look at where time is lost, how many variations there are and which applications are involved. That gives us a focused first workflow.
Learn from real users
Build a useful first version
Map the process and its users
Record rules and exceptions
Imagine a customer request that is currently followed up through separate emails. One possible workflow makes the handover between customer, reviewer and delivery team explicit.
If information is missing, the request waits for completion. The workflow shows what is missing and who needs to resolve it. A price discrepancy or another substantive exception goes to a person rather than straight to execution.
Trigger: a submitted form creates one request with a unique reference
Validation: required fields and agreed conditions are checked
Approval: a person reviews the content, price or exceptions
Execution: approval releases a task or a handover to the next system
Define what must not happen automatically too. A process that only supports the normal path leaves people to handle every exception by hand.
For each process, we agree which failures can be retried safely and which need investigation first. If a handover fails, completed steps must remain visible so that recovery does not create a duplicate job or invoice.
Missing or invalid data: send it to the responsible person for correction
Duplicate request: identify it before starting the same job again
Unavailable system: record the handover and follow an agreed recovery path
Substantive exception: wait for an explicit human decision
For OriginArt, Tixer built a migration and cleanup tool that normalised entry errors during the move from a local archive to browser-based collection management. The original system stayed available throughout the staged transition.
A concrete example of cleaning and transferring data in stages while daily work continues.
Read the case: Read about OriginArt's transitionClear answers to common questions.
Process automation uses software to carry out agreed steps when something happens, such as a submitted request or a status change. Software checks information and prepares tasks. Decisions that need judgement can remain with people.
An integration exchanges data between applications. Process automation also defines what should happen with that data: validate it, assign a task, wait for approval or start the next step. A workflow can use one or more integrations to do this.
Recurring processes with recognisable steps, data and decision rules are good candidates, including requests, approvals, planning and follow-up.
No. People can keep reviewing and approving decisions. Software makes sure information and tasks reach them at the right moment.
Often, yes, if those systems offer a suitable API, export or another reliable way to exchange data. We check that first.
We look at repetition, time lost, errors and the value of improvement. A focused process is often the best starting point.
It depends on the rules, exceptions and systems involved. After analysis, we can define a concrete first release.
Walk us through the current steps and we'll explore what could work better.