Description

Papermap AI is an AI-native business intelligence and data analytics platform developed by Papermap AI to help organisations consolidate, analyse, and visualise data from multiple sources. The platform connects databases, spreadsheets, and software applications into a unified workspace, enabling users to query data using natural language rather than SQL or other technical tools. It is designed for startups, small and medium-sized enterprises, and business teams seeking data-driven insights without maintaining complex data infrastructure.

The platform includes an AI assistant, Alan, which interprets user questions, generates data queries, creates dashboards and visualisations, produces reports, and provides insights based on connected business data. Papermap also supports automated data pipelines, collaboration workspaces, Slack integration, and analytics for sectors including e-commerce, retail, logistics, SaaS, and agencies. According to publicly available information, the platform emphasises transparency by allowing users to inspect the code and logic used to generate analytical outputs.


Objective

  • Enable natural language querying of business data.
  • Consolidate data from multiple sources into a unified analytics platform.
  • Generate AI-assisted reports, dashboards, and visualisations.
  • Improve business decision-making through data-driven insights.
  • Reduce reliance on technical data engineering and SQL expertise.

Risk Classification

Papermap AI has been assigned a Medium Risk classification because it analyses organisational and business data to generate AI-assisted insights that may influence operational, financial, and strategic decisions. While the platform functions as a decision-support tool rather than an autonomous decision-maker, inaccurate data integration, analytical errors, or misinterpretation of AI-generated insights could affect business outcomes. Key considerations include the security of connected data sources, protection of organisational information, transparency of AI-generated analyses, and appropriate human oversight when acting on AI-generated recommendations.

Risk tier: Medium

  • Visibility

    Public

  • Linked Institution

    Ministry of Finance

  • Organization type

    Private Sector

  • Sector

    Business Intelligence and Data Analytics

  • Specific sectors

    Information and Communication Technology

  • Risk Tier

    Medium

  • SDG goal

    8 and 9

  • Deployment status

    in use

  • Coverage area

    Global

  • Uses personal data?

    Yes