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    Three engagement models. One operating principle.

    We ship AI systems your team owns. Every engagement is scoped to that outcome. The workshop is the smallest first step. The Onboarding Partner programme is where lasting adoption starts, and the retainer is where it grows month by month.

    Literacy first. Infrastructure second. Adoption always.

    AI engagements fail for one reason: nobody owns the workflow after the vendor leaves. Tools are not the problem. Skill is part of it, but only part. Ownership is the thing.

    Every engagement we run is built around three hard rules:

    1

    Literacy before infrastructure.

    No automation gets built for a team that can't prompt well. Skills come first: a workshop or the onboarding programme.

    2

    Ownership before handoff.

    Every workflow has a named internal owner before we step out. No owner, no handoff.

    3

    Accountability to adoption.

    Pricing is tied to agreed results, not hours.

    How the three engagements work

    The workshop is a single half-day session. The Onboarding Partner is a fixed-scope programme. The Fractional AI Operations Lead is an ongoing retainer with two tiers.

    Team AI Workshop Half day · 4 hours · On-site or online · Smallest first step

    A practical half-day session for the whole team, built from a short survey of how your people already use AI. More than half the time is hands-on work on your own document types, on the assistant your company already licenses. Your team leaves with a shared method and prompts they can use the next morning.

    What's inside

    Pre-workshop survey, so the exercises match your team's real tasks
    The ROCSRS prompting method, practised on your own documents
    A traffic-light rule for which data may go into which AI tool
    Side-by-side comparisons: when it is enough to just ask, and when a structured prompt wins

    After the workshop

    A team that prompts with one shared method
    First prompts and use cases tied to your own work
    Clear next steps if you want to go further

    Best for teams that want a practical start before deciding on a programme. Online or on-site, in English or Estonian.

    Start a discovery call
    Start here

    AI Onboarding Partner Fixed-scope programme · 2 to 3 months · Entry point for most engagements

    Your team moves from scattered AI use to a shared, repeatable way of working. By the end of the programme you have trained people, live workflows, and a documented Playbook. Scattered AI use is a silent cost for many teams: hours leak and rollouts don't stick. This programme removes it.

    What's inside (three stages)

    Stage 1: AI Foundations workshop. Starts with a short team survey, then a full-team session using our ROCSRS prompting framework and a clear rule for what data may go into which tool. Everyone leaves able to write structured prompts that work on the first try.
    Stage 2: Functional team deep-dives. One session per functional group (sales, customer service, finance, operations, project management). Each group builds at least one working assistant on your own platform: a Copilot agent, ChatGPT Project or Claude Project, with instructions, starter prompts and test data.
    Stage 3: Implementation and mentorship. Per-group mentoring to fix and finish assistants live, a written leadership summary, and an evidence-based tool and licence recommendation. Ends when at least one workflow is live, documented and owned.
    Maintained throughout: a Living AI Playbook documenting every prompt, workflow, and tool adopted during the programme.

    At the end, you have

    A team that can prompt well and independently
    First workflows live, owned, and documented
    A Playbook for continued use
    An informed decision on whether to continue with a retainer or exit cleanly

    Best for teams in a mid-growth phase, with at least one person who can own AI internally.

    Start a discovery call

    Fractional AI Operations Lead Ongoing retainer · Two tiers · 3-month minimum cycles

    Each month, your business adds a new production AI capability that runs without us. The retainer is not a maintenance package, it is an infrastructure-building engagement whose effect adds up over time. After six months, you have accumulated six to twelve production AI solutions across your operations. A full-time Chief AI Officer at a mid-size European company costs 180,000-350,000 EUR a year in total compensation; the retainer gives you senior AI leadership and hands-on delivery for a fraction of that, with payment tied to shipped work rather than hours.

    Tier A: AI Automation Partner

    1 Shipped AI Solution per month (assistant, automation, or hybrid)
    Backlog maintained jointly, prioritised by ROI and team demand
    Monthly live session (typically 60 to 90 minutes)
    Monthly AI Digest with curated tools and relevant developments
    Monthly leadership summary
    Async support via Slack
    Ongoing tool scouting tied to your backlog

    Tier B: AI Operations Lead (everything in Tier A, plus)

    2 Shipped AI Solutions per month
    Maintained AI Playbook as a living document of every system, tool, and process in use
    Best for teams with multiple workflow surfaces to address simultaneously

    A solution that is late because of us is delivered the following month at no extra cost

    Start a discovery call

    How an engagement runs

    AI Onboarding Partner programme

    • Before we start: a short survey for everyone taking part.
    • Stage 1: one 4-hour workshop for the whole team.
    • Stage 2: a 2-3 hour session with each working group, where every group builds at least one working assistant.
    • Stage 3: a wrap-up session with the whole team and mentoring per group; leadership gets a written summary and a tool and licence recommendation.
    • Session time depends on the number of working groups, typically about 20-27 hours in total.
    • Your side: everyone joins the workshop and their group's session, each workflow gets one internal owner, and leadership joins the start and the summary.

    Fractional AI Operations Lead retainer

    • Every month: a 60-90 minute session to agree the next month's solutions, then we build them.
    • Your internal owner tests each solution in real work before handover, and leadership gets a monthly summary.

    Assistant tracks

    The programme adapts to the assistant you already license

    No tool migration required. We teach the assistant your company has available, and we say plainly when a different one would suit the work better.

    Microsoft Copilot

    For teams where Microsoft 365 is the workplace

    The track runs inside the tools your team already opens: Outlook, Word, Excel, Teams. We build workflows around existing documents and meetings rather than asking people to move their work somewhere new.

    Best for: organisations standardised on Microsoft 365 with data governance already in place.

    Read the Copilot track

    ChatGPT

    For teams that want the widest tool surface

    Shared projects and skills with named owners, shared prompt libraries, and workflows that reach beyond text: data analysis, image work, voice. The broadest surface, which is exactly why it needs output standards and review cadence.

    Best for: mixed toolchains, marketing and analysis-heavy teams, and rapid internal prototyping.

    Read the ChatGPT track

    Claude

    For document, policy and drafting work

    Shared Projects so a team works from the same source material, long-document and policy review with traceable answers, and house-style drafting that needs less editing.

    Best for: legal, compliance, communications, procurement and management teams.

    Read the Claude track

    Gemini

    For teams running on Google Workspace

    Workflows built around Docs, Sheets, Gmail and Drive, plus long-context research where the source material already lives in Google.

    Best for: Google Workspace organisations and research-heavy teams.

    What counts as a "Shipped AI Solution"

    Production-ready. It runs reliably on the tools and data your team actually uses.

    Documented. A short internal spec covers what it does, how to use it, and how to fix it if it breaks.

    Owned. A named person inside your team owns it and is trained to maintain or extend it.

    In active use. It is actually being used in daily work, not sitting in a pilot state.

    A demo is not a Shipped Solution. A prototype is not a Shipped Solution. A prompt library is not a Shipped Solution. This distinction is why the model works.

    Pricing

    • Workshop and programme: a fixed price in a written proposal within 48 hours of the discovery call. The price depends on team size and the number of working groups.
    • Fractional AI lead: a monthly fee, two tiers, at least 3 months, invoiced monthly in advance.
    • If a solution agreed for a month is late because of us, we deliver it the following month at no extra cost.
    • Want a ballpark before the call? Email us and we will reply.
    Get a proposal

    Retainer rule: if a solution agreed for the month is late because of us, we deliver it the following month at no extra cost.

    Security, data and your IT team

    • We work on the platform you already license (Copilot, ChatGPT, Claude or Gemini), in your company's accounts.
    • Every team learns a traffic-light rule for which data may go into which tool.
    • We sign your NDA. When personal or client data is involved, we agree the data terms in writing before work starts.
    • Business systems such as ERP or CRM are connected only with access your IT team approves, read-only where possible.

    Frequently asked questions

    How long is the Onboarding Partner programme?

    Typically 2 to 3 months. 8 weeks is the shortest version that delivers all three stages well. 12 weeks is common for teams larger than 50.

    Can we skip straight to the retainer?

    Rarely a good idea. The Onboarding Partner builds the literacy and ownership that makes the retainer deliver returns that add up over time. Skipping it usually means the retainer spends its first two months doing onboarding work anyway, at a worse ratio.

    What tools do you work with?

    We're tool-agnostic and choose based on what fits your team's existing stack and budget. AI platforms: Claude (including Claude Code), ChatGPT Business and Projects, Google Gemini, Microsoft Copilot. Research and reasoning: NotebookLM, Perplexity. App building: Lovable. Automation: Relay.app, Make.com, n8n. Image and video: Higgsfield, Sora, Veo, Leonardo.ai. Collaboration: Notion, Google Workspace, Slack. Picking the wrong tool kills more engagements than picking the wrong prompt.

    Do you sign NDAs and work with compliance-sensitive data?

    Yes. Standard mutual NDAs are fine. Compliance-sensitive data gets scoped differently: we can still build workflows, but with clearer boundaries on what passes through third-party AI services. For regulated industries, expect scoping conversations in the discovery call.

    What industries have you worked with?

    Energy, finance, forestry, public sector, technology, education, real estate, non-profit, and industrial B2B. The programme is vertical-aware but not vertical-specific: the unit of value and the operating principles hold across sectors.

    We already use AI every day. Do we still have to start with the workshop?

    Not necessarily. If your team already uses AI every day, we start with a short review of how you work with it today. If the skills are there, we go straight to the first workflow.

    Can a public body or municipality work with you?

    Yes. We have trained municipalities and state agencies. Invoices come from LOIT Management OÜ (registry code 12502356). We sign an NDA, agree the data terms in writing, and run the sessions on Teams or Google Meet, or on site when needed.

    How many people can join one workshop?

    One session works for a group of 10-50 people. Larger organisations run it in several groups, and the programme's group sessions are split by team anyway.

    Do you work with companies in Finland and Sweden?

    Yes. We work in English with teams in Finland, Sweden and the rest of Europe, remotely by default and on site when it matters. Our references so far are Estonian organisations, including the Estonian units of Finnish groups such as Elisa, Kiilto, Tornator and 3stepIT.

    Further reading