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Responsible AI Statement
Our formal commitments to human oversight, data protection and accountable use of AI.
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Securely, responsibly and transparently.
Hivve combines specialist impact expertise and purpose-built technology with responsible AI to help organisations develop evidence-informed impact reports and build a more structured understanding of their impact.
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Explore what makes our approach different, how we protect information and the assurance available for your internal review.
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People review, verify and approve AI-assisted outputs.
Access controls, encryption and approved processing environments.
AI use and providers are assessed and reviewed as they evolve.
Impact information is often scattered across documents, spreadsheets and systems, making it time-consuming to assemble, interpret and report consistently. AI creates an opportunity to reduce this burden and make specialist impact reporting more accessible.
At Hivve, we use AI to support people in working with their evidence, identifying gaps and developing clearer accounts of change. Combined with a structured approach to impact, this can support better-informed decisions about where to focus effort and resources.
Meaningful work becomes clear, credible evidence of change.
Funders and organisations understand what works and where support is needed.
Funding and support reach the people, projects and ideas making a difference.
Successful initiatives grow, creating more impact to capture, learn from and build upon.
General-purpose AI tools can help analyse information and draft reports. Hivve brings something additional: specialist impact expertise, established methodologies, a purpose-built impact taxonomy and technology designed around the workflows of impact evidence and reporting.
Developed through years of work with research institutions, funders and impact organisations, our approach provides a structured foundation for working with impact evidence, developing high quality reports in minutes rather than days, and supporting consistency across teams.
Organisations can build on this specialist capability alongside their existing AI investments, without needing to design and maintain the full methodology and reporting workflow themselves.
Use specialist impact frameworks and taxonomy to guide how evidence is organised and interpreted, helping teams develop a more consistent understanding of the change their work contributes to.
Generate evidence-informed working drafts using relevant reporting structures, with feedback on gaps and recommendations for strengthening the account. People remain responsible for reviewing, verifying and approving final content.
Consistently structured evidence lays the foundation for identifying patterns and learning across projects, programmes and portfolios, capabilities we are actively developing as part of Hivve’s product roadmap.
AI should help people work more effectively with evidence, not replace expert judgement. Our approach is guided by clear commitments to human oversight, data protection and accountable use.
Reports, analysis and recommendations are draft or advisory material for user review. Users assess accuracy, relevance and suitability. AI used in Hivve advisory services is reviewed by appropriately qualified people before client-facing use.
AI helps organise information, develop working narratives, identify evidence gaps and suggest further investigation. Users review and validate generated outputs before use; AI does not independently establish that impact occurred.
AI processing uses logically isolated, controlled workspaces segregated from live production systems. Client information is not entered into public or consumer AI tools; external connections are restricted to authorised services.
Hivve does not permit such information to be used to train, fine-tune, benchmark, optimise or improve public or third-party models. Providers must meet requirements for confidentiality, security, retention, deletion and data reuse.
Appropriate access controls and safeguards apply; information is anonymised or pseudonymised where feasible. Temporary AI workspaces are deleted after authorised processing, subject to approved retention requirements.
Assessment includes processing locations, retention/deletion, data-use terms and contractual protections. Controls include encryption in transit and at rest, least-privilege access and workspace segregation.
We aim to explain where AI is used, its role and how information is protected. Governance and controls are reviewed as technologies, providers, legal requirements and client expectations change.
We recognise that institutions need clear information about how their data is processed and protected before adopting AI-enabled services. Hivve applies access controls, encryption, appropriate data-handling practices and provider assessment to its AI-supported services.
Role-based permissions and least-privilege access to client information.
Encryption and appropriate data-handling practices across AI-supported services.
Arrangements vary by service configuration and jurisdiction; specific details are provided through due diligence.
Provider assessment, monitoring and ongoing review of safeguards.
Hosting, subprocessors and processing locations may vary depending on your service configuration and jurisdiction. Our team is happy to provide the relevant details and supporting documentation to help your IT, security and procurement teams understand how Hivve protects your organisation’s information.
Our formal commitments to human oversight, data protection and accountable use of AI.
For authorised IT, security and procurement reviewers assessing Hivve as part of due diligence.
How AI can transform fragmented evidence into shared impact intelligence, making meaningful impact measurement and reporting accessible to more organisations.
No. Hivve does not permit client data, prompts, files or outputs to be used to train, fine-tune, benchmark or optimise public or third-party AI models. See our Responsible AI Statement for the full commitment.
AI-generated content is a working output for human review. Users should verify factual claims and supporting evidence before relying on or sharing reports. Hivve’s approach is designed to work from supplied evidence and highlight areas that need further attention.
Processing and hosting arrangements depend on the service and agreed configuration. We can provide relevant details to authorised reviewers as part of due diligence.
Yes. Request our Security & Privacy Overview or contact us with specific security, privacy or procurement questions.
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This page provides general information about Hivve’s approach to AI, security and data protection. Client-specific commitments, technical configurations and data-processing arrangements are governed by the applicable agreement and supporting documentation.
Last reviewed: October 2026​
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