Email with manually processed documents
Attachments are repeatedly downloaded, reviewed, classified, or recorded.
We analyze manual and repetitive work, including tasks that copy information between systems, to identify technically feasible automations and define the necessary controls.
Repetition, manual transfers, and stable rules help identify opportunities that require technical review.
Attachments are repeatedly downloaded, reviewed, classified, or recorded.
People transcribe the same types of data from documents, forms, or messages.
Data is moved manually from one application to another following defined steps.
Similar formats, fields, or conditions are checked in each case.
Documents and reports move through email or folders to continue the process.
The operation depends on files that are frequently consolidated, compared, or updated.
Scope depends on the process rules, data quality, and mechanisms available in each system.
We can assess data classification, extraction, and validation where formats and controls allow.
We can review workflows that identify messages and attachments, apply rules, and route them to the designated owner.
We assess data transfer between applications based on the available interfaces and technical conditions.
We can analyze the generation, transformation, consolidation, or scheduled delivery of files.
Explicit conditions can be applied automatically, with human review for exceptions.
Documents, emails, or records can be routed according to agreed criteria if the inputs can be identified.
This is Cálamo’s working approach for analyzing each case; it is not a certified methodology.
We review inputs, activities, owners, exceptions, and expected outcomes.
We separate stable tasks from decisions requiring human judgment.
We verify formats, access, information quality, and exchange mechanisms.
We propose a workflow with a defined scope and check rules, exceptions, and technical feasibility.
We configure the agreed scope, test its operation, and support rollout.
We assess each integration to determine whether it is feasible through APIs, web services, databases, file exchange, or other available mechanisms.
Alternatives such as database access, file exports, email, or other available mechanisms are assessed. Technical feasibility is confirmed before any commitment.
Many processes begin with a document received by email, uploaded to a folder, or generated from a form. Before automating later steps, the document must be classified, relevant fields read, and information validated.
Scan2x, a document processing technology developed by Avantech Software, can serve as the document layer within broader automation. When the starting point is a physical archive, a document digitization project can prepare the information for later use.
This is a conceptual example using fictitious data; it does not represent a Cálamo project or outcome.
It is the use of rules and technology to continuously execute defined process tasks, with controls and human involvement where appropriate.
It is worth assessing when it has frequent tasks, identifiable inputs, and clear rules. Exceptions, data, and systems determine the feasible scope.
Alternatives such as databases, file exchange, email, or other available mechanisms are reviewed, and technical feasibility is confirmed before committing to the integration.
Receiving messages and attachments, classifying them, and applying rules may be feasible, depending on the email service, formats, and required controls.
Yes, when authorized access and a technically suitable mechanism are available. Scope is defined after reviewing the structure, security, and intended use of the data.
Digitization is a one-off project that converts a physical archive into digital information; automation continuously executes the defined steps of a process.
Let’s review the tasks, rules, documents, data, and systems to determine a technically feasible scope.