Futura AI
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Sectors

We work in contexts with regulated processes, sensitive data and high security requirements. Each sector has different operational problems, priority systems and KPIs.

Public Administration

High volumes of applications, long processing times and the obligation to justify every act: here AI must be traceable before it is fast.

Challenges

  • Thousands of applications, files and certified-email (PEC) communications to verify manually every month
  • Processing times bound by regulation, with backlogs growing during peak periods
  • Procedural knowledge concentrated in a few experienced staff, at risk with retirements and turnover
  • Obligation to justify and trace every administrative act

Relevant systems

  • Document Intelligence to classify and extract data from applications and files
  • AI Agents as internal assistants on regulations and procedures
  • Enterprise Search across administrative acts, resolutions and circulars
  • AI Security & Guardrails for audit trails and human oversight of decisions

KPIs

  • Average processing time per application
  • Percentage of applications handled without completeness errors
  • Response time to citizens and businesses
  • Operational hours freed from repetitive tasks

Regional Governments & PNRR/ERDF Programs

Reporting, audit and monitoring on EU funds distributed across multiple implementing bodies demand full traceability, not just speed. Alongside document management sits the need to evaluate ex ante how policies will affect local households and businesses.

Challenges

  • Program documentation scattered across offices, implementing bodies and different archives
  • Audit and reporting requirements toward national and European oversight bodies
  • Long turnaround times collecting and verifying data from third parties
  • Need to quickly reconstruct the progress status of measures and calls for tender
  • Static, linear macro and micro multipliers that miss the redistributive and financial effects of policies at the level of individual households or firms

Relevant systems

  • Enterprise Search across calls, measures and PNRR/ERDF circulars
  • Document Intelligence for reporting documentation
  • Inter-agency knowledge management with sources always cited
  • AI Security & Guardrails for the audit trail required on EU funds
  • Population and business digital twins with micro-simulation models to evaluate public-policy effects ex ante

KPIs

  • Time to prepare reporting documentation
  • Reduction in errors found during audits
  • Response time to oversight-body requests
  • Share of documentation actually monitored
  • Accuracy and turnaround time of policy-impact simulations

Banks and Insurance

KYC, AML, due diligence and risk management require an AI that justifies every answer and stays within the boundaries of compliance.

Challenges

  • Growing volumes of internal regulations, circulars and compliance documentation
  • KYC/AML processes that absorb specialist time on document research
  • Managing NPLs and risk files involving large amounts of documentation to analyze
  • Need to justify, in a traceable way, every decision assisted by an automated system

Relevant systems

  • Enterprise Search over internal regulations and policies, with source citation
  • Document Intelligence for underwriting, KYC and document analysis
  • Custom LLM adapted to the organization’s regulatory and sector-specific language
  • AI Security & Guardrails for audit trails and segregation of sensitive data

KPIs

  • KYC/AML processing time
  • Document search time for the compliance function
  • Reduction in interpretive errors on complex regulations
  • NPL case handling time

Industry & Manufacturing

Manuals, bills of materials and technical knowledge concentrated in a few experts: here AI reduces search time and dependency on specific people.

Challenges

  • Hundreds of technical manuals, bills of materials and quality procedures scattered across different formats
  • Long search times for technical information in production and technical support
  • Critical knowledge concentrated in a handful of expert technicians, at risk with turnover
  • Errors or downtime linked to technical information that is outdated or hard to find

Relevant systems

  • Document Intelligence over technical manuals and bills of materials
  • Enterprise Search across procedures, quality records and historical documentation
  • AI Agents as technical assistants for operators and support staff
  • AI Integration with existing MES and ERP systems

KPIs

  • Time spent searching for technical information
  • Reduction in downtime and errors linked to documentation
  • Training time for new operators
  • Share of technical documentation digitized and searchable