Responsible AI
Purpose
To ensure ethical, secure, and responsible use of AI technologies across all functions at Axelerant, aligning with our AI-first vision to drive innovation across design, engineering, and marketing services.
Our Responsible AI Principles
We are committed to the responsible, transparent, and ethical use of AI in design, development, deployment, and operations.
We take a human-centred approach. AI assists and augments, and humans remain accountable for all decisions and actions, with clear human-in-the-loop review points. We believe in the irreplaceable value of human knowledge, experience, ethical judgment, imagination, and collaborative spirit across engineering, project management, business analysis, marketing, sales, and operations.
We invest in upskilling and reskilling every Axelerant teammate so they thrive alongside AI. We actively foster and support new, AI-enhanced career paths that empower professionals in every field as technology reshapes their work.
We remain mindful of AI’s limitations, biases, and failure modes upfront and build those insights into every decision, workflow, and deployment.
We practice radical transparency where every stakeholder can see how we use any AI models, tools, and services, so trust is earned through verifiable facts, not promises.
We actively encourage teammates to experiment with AI tools, prompts, and workflows, prototype fast, share learnings openly, and document insights so everyone benefits.
We operate from a single, rigorously vetted catalogue of Axelerant-approved AI tools and models, provisioned through company-managed subscriptions that meet our security, privacy, contractual, and regional compliance standards for all customer work. If anything requires clarification or adjustment, either organisation-wide or on a specific project, we remain open to reviewing it.
How We Use AI Today
Axelerant conducts extensive but responsible experiments with AI to enhance efficiency, creativity, and insights across various functions. Current approved applications include tools like Cursor, which offer a privacy mode that ensures code data is never stored by their model providers or used for training. If you are interested in how we use AI at Axelerant, read Tool-Specific Considerations and Project Adoption checklist, guidelines and use cases.
AI tools may be used for the following (with adherence to privacy and ethics):
Engineering: Code snippets, architecture guidance, API usage clarification
Data & AI: Exploratory analysis, ML concept validation, feature engineering ideas
Design & UX: UX writing, wireframe suggestions, heuristic analysis
Marketing: Draft copy, content ideas, A/B test variants, email subject suggestions
Operations: Automating summaries, meeting notes, research digests