Back to all partners

Solution partner

RecordPoint

RecordPoint powers 2 source-linked AI deployments documented in AIUseCaseHub, across 1 industry and 2 countries.

Get email alerts

New partner deployments for RecordPoint, straight to your inbox. No account needed.

Cadence

Double opt-in: we only email you after you confirm. Every email includes a no-login unsubscribe link.

Use Cases

2

Industries

1

Countries

2

Hyperscaler mix

Filter RecordPoint's implementations by cloud provider evidence.

How RecordPoint builds AI

Build / Buy / Compose across this partner's documented cases

BuildBuyComposeMixed

1 of 2 cases classified (50%) · Compare all use-case types

Reported outcomes

2 cases report measurable results

+5%

Productivity & throughput

median · 1 metric

−60%

Cost savings

median · 1 metric

Medians of results published in RecordPoint cases, normalized for comparability. See all benchmarks →

Evidence persistence

1 of 1 judgeable case is still publicly referenced · 1 show the organization expanding AI use.

Durability of public evidence, not whether systems remain in production. How this is measured →

All Use Cases (2)

Microsoft

Australian Human Rights Commission automates records management with AI

The Australian Human Rights Commission (AHRC), Australia's national human rights institution, faced significant challenges with manual records management, such as document duplication, lost files, and compliance inefficiencies. To address these, AHRC implemented an automated Electronic Document and Records Management System (EDRMS) on SharePoint in partnership with RecordPoint, using their AI and machine learning tools. The solution replaced manual processes, using a combination of minimal rule trees and natural language processing-based machine learning models for record classification. Staff no longer had to manually classify documents, leading to higher user adoption and an immediate reduction in errors.Key components of the project included a new information governance framework, extensive collaboration during development, and careful change management planning. The AI model was initially trained on manually classified data and refines its predictions whenever documents are updated, improving classification performance over time. The Commission chose a configuration-over-customization approach for seamless integration, user experience, and future upgradeability.The project yielded strong outcomes: better information management practices, a 5% productivity increase, improved compliance, reduced responses to Freedom of Information (FOI) requests, lower storage costs, streamlined collaboration, and overall improved digital transformation within a regulatory setting.Other agencies can adopt the approach for similar benefits. Cost savings versus traditional EDRMS solutions were significant, and AHRC became a leader in Australian government adoption of AI-driven records management.

Public SectorAustralia
Microsoft

UK Government Archive Digital Transformation with Microsoft Office 365 and Records365

The UK Government Archive aimed to modernize its records management by migrating from legacy ECM systems and non-compliant cloud services to a compliant, cloud-based solution using Microsoft technology.Using Microsoft Office 365, SharePoint Online, and Records365, the archive implemented a compliant migration service to transition legacy records to the cloud while maintaining strict adherence to European records management standards.The Records365 solution automated records classification with rules engines, improved collaboration, enhanced user adoption, and reduced costs significantly.This transformation aligns with Government Digital Service best practices and modernizes public records management infrastructure to be scalable and accessible for future needs.

Public SectorUnited Kingdom