Responsible AI Launchpad

Responsible AI Launchpad is a focused, one‑day workshop designed to help organisations identify, assess, and address responsible AI risks within a specific AI use case—before it reaches production.

Delivered by Kainos, this structured engagement guides teams through Microsoft‑aligned Responsible AI principles, helping them understand potential harms, define fairness for their context, and build trust into AI solutions from the outset.

Through practical workshops, we assess maturity across ethics, trust, human‑centred design, governance, and integrity, and apply these lenses directly to a live AI project. The outcome is a clear, actionable roadmap that supports safer AI decision‑making, reduces delivery risk, and enables teams to progress AI initiatives with greater confidence, clarity, and organisational alignment.

Business Outcomes

• Improved visibility of AI risk, including potential bias, privacy, security, and transparency considerations specific to your AI use case.
• A tailored risk mitigation strategy aligned to your AI project, organisational context, and regulatory environment.
• A clear, actionable path to production, supporting the responsible design, development, deployment, and adoption of your AI solution.
• Increased organisational readiness for Responsible AI, enabling teams to manage risk confidently and navigate the complexity of AI implementation.

What’s Included

• A structured one‑day workshop focused on a single AI project to identify potentialresponsible AI risks (virtual or in‑person).
• A harms and benefits workshop to identify critical AI risks across a range of users and brainstorm mitigations.
• Exploration of how different definitions of fairness may impact your use case, including relevant metrics.
• Development of a future‑focused roadmap to support trust and progression to production using Responsible AI as a lever.

Exclusions

The Responsible AI Launchpad is an advisory engagement focused on risk identification, assessment, and planning. Recommendations are provided at a high level. Deep, granular recommendations, bespoke frameworks, custom testing plans, or implementation activities are out of scope and may be delivered under a separate statement of work if required.

Customer Responsibilities

Customers are responsible for ensuring the availability of appropriate business, technical, and risk stakeholders to participate in the workshop. This includes providing relevant background information, documentation, and use‑case context, an actively engaging in discussions, assessments, and validation activities throughout the engagement.

Duration

One‑day workshop, delivered either in person or virtually.

Cost

Starting from £4,000

Final pricing depends on scope, delivery format (virtual or in‑person), number of AI use cases in scope, and the level of follow‑up materials required. A tailored proposal will be confirmed following an initial scoping call.