[01] // Overview
AI automation for business processes We build workflows that reduce repeated handling of documents, data and requests. AI is used for defined tasks, with approved data sources, access rules and human review where needed.
Example scenario 01—03 01 Documents & data 02 AI processing 03 Human review +--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
[02] // Where to start A team repeatedly extracts information, categorizes requests or prepares similar summaries.
An established process needs to move information between approved business tools with less manual copying.
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[03] // What's included +--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
[01] We extract and organize agreed information from documents or data. Formats, fields and processing rules are defined first.
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[02] We classify requests for the next step. Unclear cases follow an agreed review or exception path.
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[03] We transfer information between approved tools. Available APIs, permissions and external service limits determine the connection.
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[04] AI prepares summaries or draft outputs. We define where human approval is required before further use.
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[04] // Scope and limits Security and reliability are part of the work
Controlled access. We define staff roles and permissions. The handover includes the agreed accounts and access. Careful use of data. We define the data needed, its storage and permitted use. The rules specify which services may receive sensitive information. Planned recovery. We agree on backups, recovery checks and responsibilities, according to the chosen platform. Maintainable technology. We choose technology that fits the task and can be maintained. Documentation supports operation and future changes. AI output can be incomplete or incorrect. Data access, review rules, external provider costs and the handling of exceptions are agreed before use; sensitive actions are not enabled by default.
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[05] // How we work Choose a specific repeated task
Agree on data and approval rules
Build and test the workflow
Hand over operation and exception handling
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[06] // Common questions Is this only for chatbots? No. It covers document and data processing, request categorization, summaries and integrations between approved tools.
Can it use our existing tools? Where suitable interfaces and access are available. We check these before confirming the workflow.
Who checks AI results? Review responsibilities are part of the design. Important decisions and sensitive actions retain agreed human approval.
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[07] // Next steps A description of one repeated task, its inputs and the tools involved provides a useful starting point.