AI agents are not chatbots. They are digital workers performing real tasks — analysis, reports, checks — with the rules you would give a person. Full traceability, human approval, no black box.
A chatbot answers questions. An AI agent does things: reads a document and extracts structured data, pulls data from one system and pushes it to another, analyzes a customer request and drafts a reply, checks a quote and flags anomalies. It performs tasks, not just conversations.
Data extraction from technical PDFs and specifications. Analysis of regulatory documents and ISO procedures. Quote preparation from customer specs. Automatic classification of tickets and requests. Periodic report generation. Quality control on outgoing documents. Every task has explicit rules and human checkpoints.
Granular permissions: the agent accesses only files and data you authorize, nothing else. Human approval on critical steps: before an important action, the agent asks for confirmation. Full traceability: log of everything it did, when, why, with which data. Automatic safety stop: if the agent is uncertain, it does not proceed and calls you.
It makes sense when the task is repetitive (you do it 50 times a month) and has clear rules (you can explain it to a new hire in 30 minutes). It does not make sense when it requires pure creativity, relational sensitivity, or decisions with irreversible impact without supervision. A good AI agent replaces 70-90% of repetitive work, not 80% of a person's job.
Agents for data extraction from technical documents, agents for quote preparation, agents for regulatory analysis, agents for customer request classification. The common pattern: structured input (document, request, data) → governed processing → human-controlled output.
It depends on task complexity and integrations involved. What we can say upfront: in the free call we estimate the expected return and tell you honestly if it makes sense. If we do not see a clear benefit in the first months, we tell you.
Via APIs, read/write on shared files (OneDrive, SharePoint), email, Teams plugins, ERP/CRM integration. The agent does not force you to change tools — it adapts to the ones you already use.
You see what it did, when, and why (full log). On critical steps the agent never acts without human approval, so errors are caught before having consequences. Our agents also have automatic safety stops if confidence drops below threshold.
For a medium-complexity agent, 4-6 weeks from the initial call to release. For more complex ones (multi-step, deep integrations) 8-12 weeks. You always see intermediate demos, no silent development.
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