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AI Automation
AI Automation for Real Business Work. AI is useful when it can take a defined piece of operational work off a person's desk without losing control of the process.
Xupyter builds AI into business workflows where it can read information, classify requests, prepare outputs, answer questions or route work while keeping the underlying records and human approvals visible.
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Projects delivered
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Common Problems
- Staff spend significant time reading, sorting and entering information from documents or messages.
- Routine requests require the same interpretation before they can enter the correct workflow.
- Managers need summaries across large volumes of operational records.
- Employees repeatedly prepare similar responses, quotations, reports or internal notes.
- AI tools are being used separately from the systems containing the actual business data.
- Automated AI actions are difficult to audit because the underlying workflow is unclear.
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What Your Team Does
- Business information enters through the agreed channel or system.
- AI extracts, classifies or summarizes the information according to a defined task.
- Rules and permissions determine what happens next.
- People review outputs where judgment, approval or commercial responsibility is required.
- Approved actions are written back to the operational system and remain traceable.
What You See as the Owner or Manager
- Visibility into where AI is being used in the workflow.
- Review queues for AI outputs that require human approval.
- Operational records showing the input, action and resulting status.
- Clear boundaries around which actions AI can perform and which remain human-controlled.
What We Build
Capability | What it handles |
|---|---|
AI assistants connected | to business records and permitted actions. |
Document extraction and | structured data capture. |
Classification and routing | of incoming requests. |
Natural-language search and | operational queries. |
AI-assisted drafting for emails | quotations, reports and notes. |
Exception detection and | record summarization. |
Workflow orchestration around | AI decisions with approval and audit steps. |
AI Capabilities
AI capability | What it does | Human control |
|---|---|---|
AI workflow capability | Use AI where interpretation is required, such as understanding an incoming request before routing it. | Use only where the workflow has a defined human-control boundary. |
AI workflow capability | Extract fields from quotations, invoices, forms or customer documents into structured records. | Use only where the workflow has a defined human-control boundary. |
Summarization | Summarize customer, order, shipment or operational history for staff. | Users review the generated summary before relying on it. |
AI workflow capability | Allow authorized users to ask business questions in natural language. | Use only where the workflow has a defined human-control boundary. |
AI workflow capability | Draft responses or documents while leaving final approval with the responsible employee. | Use only where the workflow has a defined human-control boundary. |
AI workflow capability | Use AI agents for narrowly defined actions against existing APIs and business records rather than giving unrestricted system access. | Use only where the workflow has a defined human-control boundary. |
How the Project Works
Stage | What happens | Client involvement |
|---|---|---|
Discovery | identify the specific tasks where AI can reduce manual work and define the acceptable level of autonomy. | Explain the current process, users and constraints. |
Planning | establish data access, permissions, human review, failure handling and evaluation criteria. | Confirm priorities, scope and required integrations. |
Development | connect AI to the relevant workflow and business records. | Review working increments and provide operational feedback. |
Testing and launch | test normal cases, ambiguous inputs, failures and unauthorized actions. | Validate real scenarios and approve the production workflow. |
Support | review performance and refine prompts, rules and workflow boundaries. | Provide feedback as requirements and processes change. |
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