Our Responsible AI Strategy & Governance Framework

Our Responsible AI Strategy & Governance Framework

Our Responsible AI Strategy & Governance Framework

AI Nutrition Facts

Eclipse

Enterprise LLM framework built on top of existing enterprise systems — Salesforce, NetSuite and beyond. Brings governed, auditable AI into the platforms your organisation already runs.

🤖 Model & Data
LLM access
OpenAIAnthropicGoogleClient-specified models supportedModel selection configured at deployment level per client requirements
Trained on client data?
NoClient data is never used to train or fine-tune public models
Data sent to model
Only the content of the user's prompt and any context explicitly passed by the integration layer. No additional enterprise data is transmitted without configuration by the client.
Enterprise system access
Scoped per deployment Read/write permissions defined in client order and enforced via the platform's native RBAC
🔒 Privacy & Compliance
Framework
UK GDPREU GDPRFTSE / Fortune 500 ready
Data residency
UKEUUSRegion configured per client contract and data residency requirements
Data sold / shared?
Never Client data is not shared with third parties outside the agreed processing scope
DPA / contracts
Formal Data Processing Agreement issued as part of all client engagements. Subprocessors disclosed on request.
🔐 Security Controls
Data in transit & at rest
TLS + AES-256 All data encrypted in transit and at rest
Access control
Role-based access (RBAC) enforced at both the Eclipse layer and the underlying enterprise platform. Principle of least privilege by default.
Audit logging
Full audit trail Every AI interaction logged with user, timestamp, prompt summary and output — exportable for compliance review
Tenant isolation
Fully isolated Each client deployment is logically separated — no cross-tenant data access
⚙️ Outputs & Controls
Human in the loop
Configurable Approval workflows can be enforced before any AI-generated action is written back to the enterprise system
Output guardrails
Content filtering, hallucination mitigation prompting and output schema validation configurable per use case
Accuracy
Outputs are based on LLM reasoning over provided context. May contain inaccuracies. All outputs should be reviewed by a qualified professional before action is taken.
⚠️ Risk Indicators
Hallucination risk
Medium
Data leakage risk
Low
Unauthorised access risk
Low
Overreliance risk
Medium

Artificial Intelligence (AI) has the transformative capacity to revolutionise the business landscape for the better.

We are committed to leveraging the unparalleled opportunities AI presents, within the parameters of our strategic and governance framework.

Acknowledging the pace of the technological evolution before us, we will adhere to the following guiding tenets:

  • Precision & Reliability
    We intend to create AI solutions are known for accuracy and dependability, furnishing results that are both trustworthy and robust.


  • Accountability & Transparency
    We ensure human oversight throughout the AI lifecycle, ensuring an open window into the development, deployment, and decision-making processes of our AI solutions.


  • Ethically Agile & Scalable
    Our AI solutions are primarily architected with comprehensive human involvement and an array of perspectives, to offset the risk of undue discrimination and damaging biases, in order to contend with societal challenges and evolving needs.


  • Upholding Ethical Standards
    We give paramount importance to safeguarding human well-being, material assets, and environmental integrity in the design, development, and implementation of our AI solutions.


  • Cybersecurity
    We undertake measures to counter potential cybersecurity risks and vulnerabilities, ensuring the resilience and sturdiness of our AI infrastructures.


  • Interpretability
    Our AI solutions are constructed to be readily understandable by human operators, ensuring that both the mechanisms and limitations of these solutions are explicit.


  • Privacy-First & Data-Governed
    We develop AI solutions with a keen eye on data privacy, security, and confidentiality, and adhere to strict protocols regarding intellectual property rights related to data utilisation.


  • Vendor & Collaborator Oversight
    We exercise meticulous due diligence in the selection and continuous monitoring of third-party vendors participating in our AI development process.


  • Perpetual Monitoring
    We enact rigorous standards for the unceasing scrutiny and evaluation of AI applications to maintain ethical, legal, and social benchmarks, as well as performance standards.


  • Ongoing Review
    We will continuously evaluate our AI solutions to ensure alignment with ethical & legal standards.

CONTACT US

For more information about our Responsible AI Strategy and Governance Framework, if you have questions, or if you would like to make an enquiry, please contact us by e-mail at enquiries@rodan.io or by mail using the details provided below:

Rodan Analytics Limited, 27 Old Gloucester Street, London, ENG, WC1N 3AX, United Kingdom

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