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AI Consulting for Businesses — Intelligent Agents and Automation

Qualibit supports SMEs and large enterprises in introducing AI agents to automate document-based, cognitive and operational processes. We adopt it internally before proposing it to clients: we use AI agents daily to assist with analysis and programming, travel documentation management, document drafting and report generation from existing documents or structured logs.


What we can automate
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Document and cognitive tasks
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These are cases where an AI agent works autonomously on unstructured content:

  • Review and analysis of tenders, specifications and technical requirements
  • Analysis of client and supplier contracts (critical clauses, deadlines, obligations)
  • Documentation preparation for ISO, safety and quality audits
  • Technical due diligence on subcontractors and new partners
  • Non-conformance analysis and lessons learned
  • Technical proposal preparation from specifications
  • Progress reports (SAL), project reports and management summaries
  • Onboarding plans from internal manuals and procedures
  • Recovery and reuse of corporate know-how from historical documents

Operational pipelines with software integration
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When a process involves multiple business systems in sequence, we design orchestrated pipelines with checkpoints and structured outputs. Integration examples:

  • ERP / management systems (SAP, Dynamics, Zucchetti, TeamSystem): reading orders, delivery notes, invoices for automatic analysis or reporting
  • Document management systems (SharePoint, Google Drive, corporate DMS): indexing, retrieval and document summarisation on demand or on schedule
  • Email and calendar: automatic classification of incoming requests, response drafting, deadline reminders
  • Databases and data warehouses: natural language querying, report generation from structured queries
  • Industrial MES/SCADA systems: process log analysis, anomaly detection, production shift summaries
  • Ticketing and CRM: automatic categorisation and prioritisation, information extraction from history
  • Custom REST APIs: integration with any system exposing a programmable interface

AI Agent Pipeline

How we choose the right approach
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Not every process requires the same architecture. Our assessment starts from these questions:

Scenario Approach
Cognitive task on documents, non-mission-critical Standalone agent
Sequential pipeline with multiple systems and operational responsibilities Orchestrator with specialised agents
Repeatable standardisable tasks Workflow with structured outputs and validation
Long pipeline with intermediate states Explicit checkpoints and persistent external state

Transactional logic and critical decisions always remain under human or deterministic system control: AI handles reasoning, not governance.


How we work
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1. Exploratory discussion
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A free call to understand whether the conditions are right, which processes have the most potential and what ROI is realistic.

2. Process analysis
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We map workflows, documents and systems involved, define expected outputs and quality criteria.

3. Prototype and validation
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We develop a prototype on the chosen process. The client evaluates output quality before proceeding to full implementation.

4. Implementation and integration
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We configure the agent or pipeline, integrate with existing systems and define monitoring and maintenance processes.


Request a consultation
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Request a consultation →