The same data is entered repeatedly
Information moves manually between email, spreadsheets and systems, creating delays, duplicates or unclear ownership.
Business process automation
Business process automation with visible workflow and exceptions.
We replace repeatable manual steps with a controlled system flow where inputs, rules, ownership and outcomes can be described. We do not invent savings claims: impact can be measured only after a baseline and method are agreed.
Discuss a projectWhich process is suitable for automation
A decision follows a defined rule
A check, routing step or notification depends on known fields and conditions but is repeatedly performed by an employee today.
Exceptions must reach a person
Not every case should be automated. Missing input, a conflict or an external error must create a visible task with the necessary context.
Automation must not hide responsibility
Map before optimising
We identify the trigger, inputs, decisions, output and owner. A redundant or broken step does not become useful merely because software runs it.
Idempotency prevents duplicate outcomes
A repeated event, network interruption or double click must not create another order or notification without a deliberate control.
Observability is a feature
Important flows need a state, history and error reason so the team can find incomplete work and safely continue or retry it.
Possible automation scope
Possible automation scope
- Current and target process map
- Inputs, rules and responsibility model
- Automated flow with a manual exception path
- Integrations, states and observable events
- Control view and agreed measurement baseline
What we need for a useful discovery
Current work and ownership
Describe who uses the solution, which steps are manual or split across tools, and who owns the key data and decisions. Existing screens, a process sketch and representative cases help separate daily work from rare exceptions.
Data, connections and constraints
We list the systems, data sources, access rules, languages and integrations in scope. Missing documentation or a test environment is recorded as a dependency; the behaviour of an external system is never assumed.
Acceptance and evidence
We agree which complete action must work in the first stage, how the result will be checked, and which failures must be visible. A metric is included only when its source data and calculation are available.
From a defined decision to a working stage
Discovery
We review users, the business goal, current work, data, dependencies and critical exceptions. The output is a testable scope rather than a speculative feature list.
Structure and prototype
Core actions, states and information architecture become screens or a technical flow. Before development, we verify that both the user and the operator can reach a complete outcome.
Development and connections
The agreed interface, server-side logic and integrations are delivered in controlled increments. Error handling, permissions and observable events are part of the same acceptance scope.
Testing and handover
We check the normal journey, important exceptions, relevant devices and agreed data exchange. Known limits, ownership, monitoring and a rollback approach are documented before launch.
Boundaries to settle before implementation
Boundaries to settle before implementation
- First-stage users, roles and one complete primary journey
- Owners of key data, required fields and retention needs
- Named external systems, access and test-environment availability
- Critical exceptions, error states, permissions and auditable events
- Acceptance checks, launch ownership and a visible next-stage list
Launch, monitoring and ongoing ownership
Handover is more than a set of finished screens. We document the agreed functions, access and administration guidance, external dependencies, known limits, and checks the team can use to observe the solution. The launch method, data cutover, rollback option and next-stage priorities are selected according to the system’s actual risk; they are not presented as fixed promises before discovery.
Verified multi-step workflow
Narva Kohvik
In Narva Kohvik, GoMedia connected catalogue, variants, quantities, cart and supported fulfilment choices into one sequential ordering journey.
View case study
Automation questions
Where should automation begin?
Choose a frequent, describable process with a verifiable outcome and preserve a clear manual path for exceptions in the first stage.
Does automation always mean AI?
No. Many reliable flows use explicit rules, states and APIs. AI needs a separate suitability, evidence and risk assessment.
How is impact measured?
We agree baseline data and a metric, such as processing time or error count, before the change. Savings are not claimed without that basis.
What happens when an external system fails?
The flow records state and error context and supports an agreed retry or manual continuation without creating a duplicate result.
Business process automation with visible workflow and exceptions.
Briefly describe the goal, users, current solution and required functions. The first conversation will clarify the open questions and what discovery is needed before an estimate.