AI implementation
AI implementation connects AI to real processes, data and access rights. We identify where it helps and implement it in a traceable way.
We do not promise miracles. We build systems whose value can be checked.
Not every task benefits from AI. We work with the business to find where it genuinely reduces effort or improves quality.
AI functions only help once connected to real data and systems. We build that connection so it fits the existing workflow.
Many tasks repeat in a similar form day to day. We automate those steps so time remains for work that needs judgement.
Knowledge often sits scattered across documents and individual people. We make it accessible through structured, searchable applications.
Handling confidential data is considered from the start, not added afterwards. Access rights and data flows are defined before anything gets built.
AI use gets evaluated against agreed criteria, not by reputation. This shows whether a solution actually helps in daily use.
This does not start with technology but with the question of which work repeats every week. We look for the processes where AI genuinely takes effort away, connect them to existing data and systems, and settle from the outset who may access what. What the automation delivers is measured against criteria agreed beforehand, not asserted.
AlpineLABs would build an internal assistant that answers questions from the firm's own documents, citing its source each time. Access rights would be defined per role, with data staying within the agreed environment.
Answers to recurring questions would be easier to find, with a traceable source.
AI qualifications
Credentials from the learning programmes of the very providers whose systems we roll out for you. Every entry carries the title the issuing body uses itself.
Issued byMicrosoftMicrosoft Learn
Using generative AI and Microsoft 365 in day-to-day business: directing prompts and conversations, drafting and analysing content, with no coding required.
CertificationBeginner
Issued byAnthropicClaude Academy
Using Claude for everyday work: holding a conversation, working with projects and artifacts, connecting tools and enterprise search.
Badge
Issued byAnthropicClaude Academy
How an organisation moves from single-player AI use to people and agents working as one team, and what that changes about leading it.
Badge
Issued byAnthropicClaude Academy
Teaching and assessing AI fluency in instructor-led settings: assignment design, assessment and applying it to a given discipline, on the 4D framework.
Badge
Issued byAnthropicClaude Academy
An accurate picture of what language models can and cannot do: knowledge, working memory, steerability and the limits of context.
Badge
Issued byOpenAIOpenAI Academy
Foundations for using AI at work: giving context, reviewing what comes back and handling it responsibly.
Certificate
Issued byOpenAIOpenAI Academy
From a single prompt to a directed workflow: setting boundaries, defining the output, reviewing drafts and reusing what works.
Certificate
Issued byOpenAIOpenAI Academy
Taking one AI initiative through to a strategy draft: business priorities, ownership, roadmap and adoption.
Certificate
Personal credentials held by people on the team. Neither a certification of the company nor a partnership with, or an endorsement by, the providers named. We will send you the documents themselves on request.
Tell us where your business stands. We will show you what is possible and what is worth doing.