Less processing, more progress
Incoming emails and documents often need someone to read, classify, and enter them before work can begin. We combine AI with workflow automation to handle those steps and send exceptions to the right person.
Keep routine work moving
- Read incoming itemsExtract relevant content from messages and documents when they enter the workflow.
- Classify varied inputsAssign a category from the content, including items that do not follow a fixed template.
- Apply routing rulesUse checked results to select the next step in a defined process.
- Update connected systemsPass approved values into the destination application through a supported interface.
- Handle exceptionsSend incomplete, uncertain, or rejected items to a review queue.
- Track each runRecord processing status and errors so staff can follow up on unfinished work.
Connect intake to the next action
We map the existing process before automating it. AI handles selected interpretation tasks; validation, routing, and system updates follow the agreed workflow.
Document intake
Classify incoming files, extract required fields, and check for missing information before an item continues.
Batch processing
Convert a collection of messages or records into structured outputs, with failed items separated for investigation.
Context lookup
Retrieve the reference information a processing step needs, such as a product record or an internal procedure.
Workflow execution
Configure triggers, conditions, and processing steps around the team’s existing responsibilities and approval rules.
System updates
Connect the workflow to destination applications and check whether each write or transfer completed successfully.
Exception handling
Provide a queue for items that fail validation or need a decision, with enough context for staff to resolve them.
Start with a recurring bottleneck
A useful candidate has repeatable inputs, an observable result, and enough volume to justify the build. These examples offer practical starting points for an assessment.
- Reference lookupsFetch matching account or product information before processing an incoming item.
- Attachment triageIdentify document types and send them to the appropriate processing route.
- Data entry preparationExtract candidate values for validation before they are written to another system.
- Routine acknowledgmentsPrepare a response from the received details and the current processing status.
- Cross-system checksCompare required fields across applications and flag mismatches.
- Case handoff summariesPrepare a concise history when an item moves to another team.
- Request allocationCategorize requests and assign them using agreed ownership rules.
- Scheduled processingRun recurring batches and surface items that remain incomplete.
For the first workflow, establish current handling time and exception volume. Compare those measures after a controlled trial to judge whether the change is useful.
Build a workflow you can operate
- n8nAn option for connecting triggers, processing steps, and application integrations.
- Queues and schedulesControl when work runs and how batches are handled during busy periods.
- Document parsingPrepare file content for extraction, including the formats the process receives.
- LLM extractionInterpret variable wording and return proposed fields for validation.
- APIs and webhooksReceive events and exchange results with the applications involved in the process.
- MCP serversAn integration option when a model needs access to tools exposed through MCP.
Find the steps worth automating
Show us a recurring process, a few typical inputs, and the exceptions your team encounters. We can assess the effort involved, the connections needed, and where automation could reduce handling time.