Process discovery
We map repetitive steps, waiting points, error types and the systems used.
B10 / Process improvement
Artificial Intelligence & Automation Solutions
Reduce repetitive work. Expand your team’s focus.
We develop automations for data preparation, document processing, reporting and workflows, assessing AI use alongside needs and measurable benefits.
Reduce repetitive work. Expand your team’s focus.
Not every process requires the same kind of automation. We distinguish steps with definite business rules from tasks requiring interpretation, then examine your existing tools and integration options to design a feasible solution.
Workflow automation
We connect forms, tasks, notifications, data matching and reporting steps through defined rules.
Document and content processing
We assess model use for classification, field extraction and summarisation using sample data.
Exception and approval management
We create flows that hand uncertain or erroneous results to human review.
AI agent connection
Where necessary, tasks requiring information retrieval and tool use in variable contexts are moved into AI agent development scope.
Performance and cost tracking
We track processing times, error rates and service costs using pilot results.
At the end of the work,
what will you have?
The deliverables below that are included in your project are specified in the written proposal, with quantities, formats, delivery dates and acceptance conditions. Licences, hosting and maintenance are shown separately if not included.
Process and opportunity map
Steps suitable for automation, dependencies and initial priorities.
Working automation flow
A first release working with agreed data sources and systems.
Pilot assessment
Baseline measurement, test results and expansion recommendations.
Operations guide
Steps for exceptions, approvals, error correction and version management.
A shared goal.
Steps with clear owners.
- 01
Select the process
We assess business value and technical feasibility.
- 02
Design the flow
We define rules, integrations and approval points.
- 03
Measure in the pilot
We assess accuracy, time and cost with sample transactions.
- 04
Put into operation
We make the accepted flow available with a monitoring and support plan.
Which needs is it for?
Example use cases for which we can define the scope together.
Document-heavy processes
Classifying incoming documents and extracting fields ready for review.
Periodic reporting
Combining data from authorised sources to prepare reports.
Work handover between teams
Routing requests and tasks to the correct owner with approval and exception rules.
How will we track success?
We define the starting position and goals together. The indicators below are selected according to the nature of the work.
- Time per transaction
- Tasks handed to human review
- Error and reprocessing rate
- Service cost per transaction
Provider licences, processing volume and integration requirements are assessed within the project scope. Critical business rules and approval responsibilities are defined with your organisation.
Let’s clarify the details.
Is AI used in every automation?
No. Traditional automation is appropriate for tasks that can be solved with definite rules. AI is used where necessary and where its benefit is assessed through a pilot.
How much will we save?
It depends on the process and data quality. We do not commit to a rate without baseline measurements and pilot results.
Let’s clarify your needs together.
Artificial Intelligence & Automation Solutions
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The first step:
defining the right scope.
Artificial Intelligence & Automation Solutions — Let’s assess your needs, priorities and current setup together.
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