How Junelim Lab help

AI Readiness Assessment

Find out exactly where you stand on AI governance before a regulator, auditor, or client asks first.

Who this is for:
Designed for business owners and leadership teams who need a clear, independent view of where they actually stand on AI. Also valuable for organisations preparing for ISO 42001 certification, due diligence processes, or procurement conversations where AI governance is being scrutinised.

What you get:
A structured written report covering your current AI governance position across four areas: accountability and oversight, risk identification, data and compliance obligations, and the real-world usability of your AI-facing tools. The report includes a prioritised action list — not a general framework, but specific next steps matched to your organisation’s size, resources, and regulatory exposure.

Specifically:

• A completed AI governance maturity assessment for your organisation
• Written report (typically 8 to 12 pages) with findings and prioritised recommendations
• A 60-minute debrief session to walk through the findings and answer questions
• A summary one-pager suitable for sharing with your board or senior leadership

How it works: The assessment involves a structured intake questionnaire, a 90-minute discovery call, and a review of relevant documentation you can share (existing policies, AI tool inventories, vendor contracts). I do not need access to your systems. Most organisations find the process clarifying rather than daunting; the questions reveal what you already have in place as much as what you are missing.

UX Design for AI Products

Make your AI-driven product work for the people it is supposed to serve, tested with real users, not assumptions.

Who this is for: Startups and product teams building AI-facing tools, organisations deploying AI tools to staff or customers and finding adoption lower than expected, and development teams who have built something technically sound but are not sure why users are not engaging with it. This service is also relevant for pre-launch product teams who want to validate usability before committing to release.

What you get:
Honest, evidence-based insight into how real users experience your AI product — and specific, actionable design direction to improve it. We do not produce slide decks of observations. We produce findings you can hand to a developer and act on.

Depending on the scope, this can include:

• User research: interviews, contextual enquiry, or diary studies with your target users
• Usability testing: moderated or unmoderated sessions identifying where users struggle, fail, or disengage
• UX audit: expert review of your current product against established usability and AI-specific design principles
• Journey mapping: documenting the full user experience across touchpoints, not just the product interface
• Design direction: annotated wireframes, interaction recommendations, or design principles for your team to implement
• Stakeholder alignment workshops: helping product owners, developers, and business leads agree on priorities

How it works: Most engagements begin with a scoping call to understand what you have built, who uses it, and what problem you are trying to solve. I then propose a research or design plan matched to your timeline and budget. I can work independently or alongside your existing product or development team.

AI Governance Advisory

Build the AI governance policies, risk registers, and compliance frameworks your organisation actually needs, without the enterprise consultancy overhead.

Who this is for: Organisations that have completed an initial assessment (whether with me or elsewhere) and need hands-on support implementing governance structures. Also relevant for organisations preparing for ISO 42001 certification, responding to a procurement requirement, or putting AI governance in place proactively ahead of regulatory pressure. Particularly well-suited to SMEs and housing associations that need a senior expert but cannot justify a full-time hire or a large agency retainer.

What you get:
Practical, documented governance structures you can stand behind. Not templates downloaded from a framework website — policies and processes that reflect how your organisation actually uses AI, what your risk profile looks like, and what your stakeholders need to see.

Depending on the scope, this can include:

• An AI risk register tailored to your current and planned AI tool use
• An AI governance policy aligned to ISO 42001 and the EU AI Act risk tier classifications
• A data governance addendum for AI-specific obligations under UK GDPR
• Vendor assessment criteria for AI tool procurement
• A board-level AI governance briefing document
• Staff guidance on responsible AI use in your organisation

How it works: We agree on the scope at the outset. Most engagements run over four to eight weeks and combine working sessions with your team, document review, and independent drafting. I am available for interim questions throughout. Ongoing advisory retainers are also available for organisations that want a named expert they can call on regularly.

AI and UX training

Equip your leadership team and staff with the knowledge to make better decisions about AI, before the risks show up in production.

Who this is for:
Business owners and leadership teams that have adopted or are planning to adopt AI tools and want their people to understand how to use them responsibly, spot the failure points, and design or procure AI products that actually serve users. Also suitable for product and operations teams who need a practical grounding in human-centred design principles applied to AI.

What you get:
A workshop or training programme tailored to your team’s context and existing knowledge level. Sessions are practical and jargon-free, built around real scenarios from your industry rather than generic frameworks.

Depending on scope, this can include: a half-day AI readiness workshop for leadership teams, a full-day human-centred AI design session for product and delivery teams, a series of short sessions covering AI governance fundamentals aligned to ISO 42001, bespoke materials your team keeps and can refer back to.

How it works: We start with a brief intake to understand your team’s current knowledge level and the specific AI decisions you are facing. Training is then scoped and delivered either in person or remotely, with practical exercises throughout. Sessions can be standalone or part of a broader advisory engagement.