Midoriweb helps you identify and automate the parts of that work that follow clear rules. We can connect systems, develop a workflow or build a focused tool around the task. The aim is to reduce unnecessary handling while keeping decisions and exceptions visible to the people responsible.
You do not need a grand automation programme to get started. One well-chosen process, with a clear owner and a measurable purpose, can provide a useful first project.
Start with the work your team wants to stop repeating
Explore this area ↗Automation services we can develop
Explore this area ↗A practical example: enquiry to assigned follow-up
Explore this area ↗Start with the work your team wants to stop repeating
We begin by walking through the current process. What starts it? Which systems are involved? Where does someone copy information, check a condition or wait for another person? We also ask what happens when the input is incomplete or the expected next step cannot happen.
Those details reveal which steps can be automated and which need human judgement. A process may look repetitive while still containing an important commercial decision. We make that distinction before proposing a technical solution.
The first deliverable may be a clear workflow and a scoped opportunity rather than immediate code. That helps you understand the likely value, the dependencies and the ongoing responsibility before committing to implementation.
Automation services we can develop
We can scope data transfers, validation routines, scheduled reports, task routing and approval workflows. We can also connect website enquiries to business systems or develop tools that prepare information for review.
Some requirements can use existing platform capabilities or a suitable integration product. Others justify custom development because the rules or interfaces are specific to your operation. We assess the options rather than assume that everything needs a new application.
Midoriweb can bring application development, APIs and database work together where the process crosses several systems. That is useful when the manual task is really filling a gap between tools that were never designed as one workflow.
A practical example: enquiry to assigned follow-up
Imagine an enquiry arriving through your website. A member of staff checks it, enters details into another system and sends it to the right person. If information is missing or the recipient is unavailable, the request can sit in an inbox.
We could define a process that validates the submission, creates the appropriate record and routes a task according to agreed rules. Incomplete information could be flagged for review. The team could see whether the follow-up is assigned, pending or blocked.
The scope would also address duplicates and failed transfers. A successful website submission should not be confused with a confirmed record in the destination system. That distinction helps the operator understand what has actually happened.
Keep approval where it adds value
Automation does not have to mean allowing every action to proceed without review. A system can prepare information, check it against rules and present it to an authorised person for a decision.
We can build that boundary into the workflow. For example, a change above a threshold might require approval, or a record with inconsistent information might be held rather than passed onward. The important point is that the rule is agreed and the status is understandable.
We also consider changes after approval. If a record is edited, does the approval remain valid? Can the action be cancelled? Who is allowed to make that decision? These details prevent an apparently simple automation from undermining the controls your business relies on.
Make exceptions easier to manage
An automated process will encounter missing data, unavailable systems and unexpected values. If all it does is fail silently, the team may spend more time finding the problem than they previously spent doing the task.
We define useful exception information and ownership. The operator should be able to identify the affected record, understand the reason and know whether to correct the data, retry or contact a provider. Temporary failures may be retried automatically where that is safe.
For actions with external effects, repeated processing needs particular care. The workflow should have a way to recognise work already completed rather than create duplicate records or instructions each time it is run.
Connect automation to a realistic measure of value
Before building, we agree what improvement would make the project worthwhile. That might be less manual entry, fewer unassigned requests or a report prepared without interrupting someone’s morning.
We do not invent a percentage saving before observing the process. A useful baseline can be simple: how often the task occurs, the steps involved and the types of correction it requires. After implementation, the same measures can help you assess whether the change is working as intended.
This also helps prioritise future work. A small process with a clear benefit may deserve attention before a much larger automation with uncertain ownership or value.
Use AI only where it has a defined role
Many business automations are rules-based and do not need AI. Moving a validated record, calculating an agreed value or applying a clear routing rule should not be made more complicated without a reason.
Where AI assistance is useful, its role and limits need to be explicit. It might help prepare a draft or classify information for review, while a person remains responsible for a consequential decision. That is a separate design discussion, covered more specifically by our AI workflow service.
The choice should follow the task and the quality of the available information. Calling a process AI-powered is not a substitute for understanding whether it produces a useful, reviewable result.
Leave your team with a manageable process
We agree how the workflow will run, who can change its rules and who receives an alert when it needs attention. Configuration and credentials should be handled appropriately, with documentation for the significant operating steps.
If the process depends on a third-party platform, its limits and ongoing costs need to be understood. If custom code is involved, maintenance and release responsibilities should be clear. Automation is most useful when it reduces work without hiding a new set of obligations.
We can help define a first release and the review points for later improvements, so the process can develop as your operation changes.
Our guide to where AI automation can add real value can help separate useful assistance from unnecessary complexity. Bring us the process first; the technology should follow the work you want to improve.
Questions about getting started
How do we choose the first process?
Start with a repeated task that has clear inputs, an identifiable owner and a useful outcome. We can help assess the exceptions and whether the likely benefit justifies the work.
Can you work with our existing systems?
We assess the interfaces and capabilities available. A suitable integration may be enough; a new application is not automatically required.
Will staff lose control of important decisions?
The workflow should preserve the approvals and review points you need. We define which actions are automatic and which require a person before implementation.
Tell us what keeps getting done by hand
Walk us through one process that consumes more attention than it should. Midoriweb can help you identify a sensible automation, explain the options and build a workflow your team can understand and manage.

