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Smart Asset Management (S.A.M.) powered by AI

The new digital member of your team: an AI copilot for smart asset management

Technician viewing twin monitors – S.A.M. AI system for asset monitoring and control.

SMART ASSET MANAGEMENT (S.A.M) powered by AI

Meet S.A.M. (Smart Asset Management), the new digital member of your team: an AI copilot that understands your business, talks in natural language and automates requests, maintenance and decision‑making across all your physical assets.

Built on Microsoft Azure AI and OpenAI Generative AI, S.A.M. turns the Nextbitt platform into another team member, transforming day‑to‑day operations into a fluid, intuitive and data‑driven experience for every user.​​

Four AI pillars powering S.A.M.

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Automated Document Recognition
S.A.M. uses AI to automatically read, extract and structure data from documents such as energy invoices, maintenance reports or contracts, feeding the Nextbitt platform without manual typing.​

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Anomaly Detection
Machine learning models continuously analyse asset behaviour to detect abnormal patterns – for example, consume more water or energy than expected – and trigger alerts or work orders before issues escalate.

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Conversational Chatbot
S.A.M. allows users to interact with the Nextbitt platform via Generative AI (OpenAI ChatGPT), in natural language, through channels such as WhatsApp or Microsoft Teams, automatically creating and updating service requests.

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Global Search
Powered by Azure AI, S.A.M. adds a global search layer across the entire platform, delivering a “search engine” experience to find assets, locations, work orders, documents and insights in seconds.

SMART ASSET MANAGEMENT (S.A.M)

Features of Smart Asset Management

 

Natural language service requests

Any user can report issues in plain language via chat channels (such as WhatsApp or Microsoft Teams); S.A.M. turns these messages into complete, correctly classified service requests with attachments, priorities and routing.

Predictive and condition‑based maintenance

Machine learning models analyse historical failures, usage patterns and sensor data to suggest preventive actions, helping you reduce downtime and extend asset life.​

Automated document capture and enrichment

Document AI reads and extracts data from invoices, reports and forms, automatically enriching asset and maintenance records in the Nextbitt platform.

Cognitive search across assets, tickets and locations

Global search powered by Azure AI lets users find assets, locations, work orders and documents in seconds, with filters and suggestions tailored to their role.​

Real‑time status and notifications

Technicians, supervisors and requesters can follow the status of each service request in real time, receiving proactive notifications instead of having to chase for updates.​

Voice‑enabled field operations

With integrated voice recognition, field teams can open, update and close work orders hands‑free, increasing safety and productivity in technical environments.​

Team using tablet and laptop – intelligent automation and collaboration with S.A.M.

How S.A.M. works in your daily operations

Paper cut-outs of business charts – understanding company needs for smart automation.
Business Analysis

S.A.M. starts by understanding your business context – banking, healthcare, logistics, industry, public sector – and adapts questions, flows and recommendations to each scenario.​

Worker interacting with digital dashboard – fast asset issue reporting via S.A.M.
Simplified Reporting

Users simply describe problems in natural language; S.A.M. asks intelligent follow‑up questions, identifies the asset, checks history and automatically creates a complete work order with priority, category and assignee.​​

Data visualization interface – transparent decision-making with AI-powered S.A.M.-p-800
Transparent Processing

S.A.M. combines document AI, anomaly detection, chatbot and global search to classify information, detect risks earlier and give technicians and managers everything they need to act with speed and transparency.​​

FAQs

Here are some of the most frequently asked questions about Smart Asset Management.
  • Organizations typically see faster request handling, fewer manual steps, earlier detection of issues and better decision‑making based on unified, AI‑enriched asset data.​
  • No, one of the advantages of S.A.M. is its ease of use and the ability to interact naturally with users through familiar platforms and voice commands.
  • S.A.M. applies AI algorithms to analyze data, predict trends and provide insights that help with proactive decision-making and the continuous optimization of asset management.

Transform your organization's management with Nextbitt services

Make an appointment for a personalized consultation and take the next step towards a more efficient and innovative operation.