Emilia Forrest

I am an AI strategist and service designer who helps organisations turn AI into clear services, workflows and customer experiences. My focus is on practical, safe and sustainable use of AI in day to day work, from early discovery through delivery and continuous improvement.

In the AiCred assessment I received an AI Fluency score of 8.4 out of 10 (Advanced). This reflects strong skills in problem framing, experimentation, prompt design, critical thinking and collaboration with both technical and non technical teams. I work comfortably across product, marketing and service environments and I enjoy translating between business goals, user needs and AI capabilities.

I am also CPACC certified and lead accessibility and European Accessibility Act work inside Valtech. Accessibility thinking shapes how I design AI supported services and content, so teams reduce risk, meet legal requirements and reach more users.

Today I focus on AI strategy and roadmaps for teams who want to start or scale AI use. I design and facilitate AI supported journeys, products and services. I run training, workshops and coaching on practical AI use, prompt patterns and ways of working. I give accessibility and EAA guidance for digital products with AI components.

If you want to understand how AI supports your organisation in a concrete, human centred and responsible way, this is where I do my best work.

Emilia Forrest is an AI Strategist and Service Designer based in Stockholm, helping organisations translate AI capabilities into practical services, workflows, and human-centred experiences. With a CPACC certification shaping her accessibility-first approach, she operates at an expert level across the full AI integration lifecycle — from discovery and strategy through delivery and continuous improvement.

Emilia builds reusable AI infrastructure others can adopt. She has designed a two-tier knowledge base architecture (client-agnostic operating layer plus client-specific guardrails) with scheduled automation, GitHub versioning, and live team handoff — infrastructure now attracting company-wide adoption. Her prompt engineering embeds standing constraints and context directly into environment configuration files, keeping prompts lean and directive. She applies phrase-level output interrogation and a named five-step verification protocol to catch subtle failure modes, including silent gap-filling in framework documents.

Emilia brings systems thinking, radical transparency, and a clear design philosophy — automate execution, bring results to humans for verification — making her a rare practitioner who builds AI infrastructure that scales beyond herself.