AI Systems

What this includes

• Workflow automation across business operations
• Automated data entry and document processing
• Scheduled reporting and notification systems
• Multi-step follow-up and outreach sequences
• Integration with existing tools and platforms

Ideal for

• Teams spending significant time on repetitive data tasks
• Businesses with manual reporting or follow-up processes
• Operations that depend on data moving between multiple platforms

Deliverables

• Automated workflow design and documentation
• Integrated automation system connected to your tools
• Testing and handover with operational runbook

How it works

1. 1.Map the existing process and identify automation opportunities
2. 2.Design the automated workflow and integration architecture
3. 3.Build, test and deploy the system
4. 4.Handover with documentation and operational runbook

What this includes

• Goal-oriented task execution across multiple steps
• Decision-making based on context and business rules
• Tool use and API integration
• Research, analysis and summarization workflows
• Human-in-the-loop checkpoints for sensitive actions

Ideal for

• Operations with complex, variable multi-step tasks
• Teams that need AI to interact with external tools autonomously
• Businesses looking to scale research or analysis capacity

Deliverables

• Custom agent design and system prompt architecture
• Integrated agent connected to your tools and data sources
• Evaluation framework for agent accuracy and reliability

How it works

1. 1.Define the agent's scope, goals and decision boundaries
2. 2.Design the reasoning architecture and tool integrations
3. 3.Build, evaluate and iterate until performance meets requirements
4. 4.Deploy with monitoring and escalation protocols

What this includes

• Knowledge-grounded responses from your documents and content
• Lead capture and qualification within the conversation
• Customer support and FAQ handling
• Internal knowledge assistant for teams
• Multilingual support (English and Italian from day one)

Ideal for

• Businesses receiving repetitive enquiries that follow a pattern
• Teams that need faster access to internal knowledge
• Websites that need to qualify visitors before a call

Deliverables

• Custom assistant connected to your knowledge base
• Chat interface integrated into your website or platform
• Lead capture flow and conversation logging

How it works

1. 1.Define the assistant's scope, persona and escalation rules
2. 2.Build and structure the knowledge base from your content
3. 3.Train, test and refine until responses meet quality standards
4. 4.Deploy and integrate into the target surface

What this includes

• Inbound call handling and intelligent routing
• Caller qualification before connecting to a human
• FAQ and information delivery over voice
• Appointment booking and confirmation
• Integration with CRM and booking systems

Ideal for

• Businesses that receive high volumes of inbound calls
• Service businesses that book appointments by phone
• Teams spending significant time on first-contact qualification

Deliverables

• Voice AI system configured for your business context
• Integration with phone infrastructure and CRM
• Call flow documentation and escalation protocols

How it works

1. 1.Map the current call flow and define the AI's scope
2. 2.Build and configure the voice system and knowledge base
3. 3.Test with real call scenarios before going live
4. 4.Deploy and monitor the first call period

What this includes

• Custom AI interfaces for internal teams
• Structured content and document generation
• Data analysis and summarization tools
• Proposal, report and brief generators
• Integration with existing business data sources

Ideal for

• Teams with a specific, repetitive cognitive task that AI can accelerate
• Businesses that need a branded AI interface for clients or staff
• Operations where off-the-shelf AI tools don't match the actual workflow

Deliverables

• Custom AI application designed for your workflow
• Integration with relevant data sources and APIs
• User guide and internal onboarding documentation

How it works

1. 1.Define the tool's purpose, inputs, outputs and users
2. 2.Design the interface and AI logic architecture
3. 3.Build, test with real use cases and refine
4. 4.Deploy and train the team on the tool

What this includes

• Custom admin dashboards and management interfaces
• Client portals with authentication and role management
• Internal databases and data management systems
• CRM extensions and custom workflow tools
• Team collaboration and project management platforms

Ideal for

• Businesses managing clients, projects or data in spreadsheets
• Teams that need a custom interface that generic SaaS tools don't provide
• Operations requiring specific data flows between internal and client-facing systems

Deliverables

• Fully functional internal platform deployed in your infrastructure
• Authentication, access control and user management
• Technical documentation and team onboarding

How it works

1. 1.Map the current operational workflow and data structure
2. 2.Design the system architecture and user interface
3. 3.Build in phases with feedback at each stage
4. 4.Deploy, migrate existing data and onboard the team