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    Advisory

    An AI Lead on your side of the table.
    Not another supplier.

    Iedera Advisory puts a senior AI Lead inside your firm for the duration of the engagement: someone who builds the systems, holds the compliance and trains your people — then hands it all over. EU-sovereign by default, in English or French.

    EN · FRFIXED SCOPEEU-SOVEREIGNHANDOVER BUILT IN
    Agents in production◆AI Act readiness◆Open-weights migration◆LLM benchmarking◆Team enablement◆Managed services◆GTM automation◆Agents in production◆AI Act readiness◆Open-weights migration◆LLM benchmarking◆Team enablement◆Managed services◆GTM automation◆

    The situation

    You might be dealing with…

    • ◆AI pilots that never reach client work, stuck between demo and deliverable
    • ◆AI Act and data-residency questions that nobody in the firm actually owns
    • ◆Your team buying tools faster than it can govern them
    • ◆Suppliers who build dependence instead of capability
    • ◆A board or risk office asking questions you cannot yet answer

    If two or more of these sound familiar, that is the job this engagement exists for.

    01ENGINEERING

    AI that reaches client work.

    Most pilots die between the demo and the deliverable. We build the systems that make that crossing: agents wired to your documents and your tools, engines that work in your files, every claim verifiable. And we run them — the systems stay live rather than getting left behind.

    • ◆Agents for knowledge work and software engineering, in production
    • ◆RAG and CAG pipelines over your own corpus
    • ◆Model selection by benchmark: quality, latency, cost, sovereignty fit
    • ◆Migration off US-provider lock-in to EU-hostable open-weight models

    A TYPICAL ENGAGEMENT

    StartScope and acceptance criteria agreed in the first week
    BuildSystems developed against your real documents and tools
    RunOperated and reviewed, not just handed over once
    Every stepThe reasoning behind each decision recorded

    A TYPICAL ENGAGEMENT

    InventoryEvery AI system in use, classified and mapped to its obligations
    HostingEU-sovereign by default; exceptions documented and justified
    VendorsA live record of what runs, where, under which terms
    OngoingThe paperwork kept current as systems and rules change
    02COMPLIANCE

    Compliance somebody actually owns.

    AI Act questions, data residency, vendor governance — in most firms they belong to nobody, so they get answered badly when someone finally asks. The engagement takes ownership of them: classification and obligations mapped, EU-sovereign hosting by default, a record your risk office can check without a meeting.

    • ◆AI Act readiness: classification, obligations, documentation
    • ◆Data residency and EU-sovereign hosting by default
    • ◆Vendor and model governance: what runs, where, under which terms
    • ◆The paperwork the regulations require, kept current
    03ENABLEMENT

    Your team, not a dependency.

    An engagement that leaves you dependent on the person who ran it has failed, whatever it produced. So the deliverables include the things that prevent it: training on the AI topics your people actually face, playbooks that survive the engagement, and hiring help when the time comes to bring the role in-house.

    • ◆Practical training, from literacy to engineering
    • ◆Playbooks and documentation that survive the engagement
    • ◆Hiring help when the role moves in-house

    WHAT LEAVES AT THE END

    Training sessions, all levelsDELIVERED
    Playbooks and run-booksDELIVERED
    Documentation of every systemDELIVERED
    Dependency on usNONE

    Systems already shipped

    REGISTRY
    Knowledge-work agents
    Agents that read, analyse and produce deliverables on real documents, every claim checked against sources.    AGENTS
    Software-engineering agents
    Multi-agent lanes for planning, implementation and review, running against a live codebase.    AGENTS
    Model training and fine-tuning
    Domain adaptation of open-weight models, evaluation harnesses around every change.    MODELS
    Support agents, internal and client-facing
    Assistants wired to real knowledge bases, source-backed answers, human escalation when it matters.    AGENTS
    LLM benchmarking
    Structured evaluations of quality, latency, cost and sovereignty fit. The numbers behind every model choice.    MEASUREMENT
    Open-weights migration
    Production workloads moved off US-provider lock-in onto EU-hostable models, without losing quality.    SOVEREIGNTY
    GTM automation
    Lead generation and scoring, cold outreach, inbound handling. The pipeline behind this page runs on it.    GROWTH
    AI Act compliance
    Inventory, classification, documentation, and the governance that keeps all of it true over time.    COMPLIANCE

    Examples of the work, not a complete list. If what you need sits next to one of them, ask.

    Built to be handed over.

    Fixed scope, acceptance criteria written on day one, documentation and training as deliverables, and the reasoning behind every decision recorded. When the engagement ends, your team owns what it built.

    FIXEDSCOPE FROM DAY ONE
    EN · FRWORKING LANGUAGES
    YOUR TEAMOWNS IT AT THE END

    Next step

    A 20-minute call is usually enough to tell.

    Describe the situation in your own words. If the fit is not right, that gets said early — usually with a pointer to someone better suited.

    Book 20 minutes

    domenico@iedera.io

    Not sure what the AI Act actually requires of a firm your size? Compare the three options