Training program

    1–2 days

    Build repeatable internal capability and an operating model for turning interaction signals into improved experiences and offerings.

    Practical training designed to create a shared language and a repeatable way of working.

    Valto Loikkanen presenting training content

    Capability building, not tool training

    This training program helps leadership and customer-facing teams build a practical, shared capability for AI-native growth through customer experience. The focus is on how to read signals from customer interactions, translate them into decisions, and run a repeatable improvement loop.

    This is not a generic AI course. It is a structured program built around your reality, your customer interactions, and your priorities.

    Teams that need a shared approach to AI-native growth

    Typical participants include:

    Leadership sponsor (growth, commercial, product, service, or CEO)
    Product and customer experience leaders
    Sales and marketing leaders
    Service and customer support leaders
    Operations or delivery lead (when relevant)
    Innovation or strategy lead (when relevant)

    What the team leaves with

    By the end of the training, the team will have:

    A shared language for AI-native growth and AI-native customer experience

    A clear understanding of what signals exist in current interactions

    Practical methods for turning signals into better experiences and offerings

    A repeatable operating model for continuous improvement

    A shortlist of opportunities and a path to pilots

    Clear next steps and owners

    The practical core topics

    Modules are adapted to your context, but typically include:

    New value vs productivity: how growth actually compounds
    AI-native customer experience: improving the moment and learning for the future
    Signal thinking: what to listen for and how to structure signals
    The interaction loop: interaction → signal → learning → improvement → new value
    Human and AI combinations: designing for mixed interaction realities
    Measurement: signals, leading indicators, outcomes
    Operating model: cadence, ownership, quality, escalation, and governance
    From understanding to action: how to select and run practical pilots

    Choose 1 day or 2 days

    1-day training

    6–7 hours

    Best when you want fast alignment and a practical starting point.

    Includes:

    Core models and shared language
    Signal inventory and opportunity mapping
    Prioritization and next-step definition
    A first version of a repeatable loop the team can start using

    Deliverables:

    Opportunity shortlist
    First operating rhythm outline
    Pilot candidates with owners

    2-day training

    2 × 6–7 hours

    Best when you want deeper capability building and a stronger operating model.

    Day 1:

    Foundations and models
    Signal thinking and measurement basics
    Group work on journeys and signal sources

    Day 2:

    Designing the loop in practice
    Quality, trust, and governance principles
    Building the internal operating model
    Turning opportunities into a 90-day plan

    Deliverables:

    Draft playbook for the team
    A 90-day capability roadmap
    Clear pilot plan(s) and measurement approach

    Structured, practical, and aligned to your business

    The training combines:

    Short teaching segments for clarity
    Guided work sessions with your real journeys and examples
    Team alignment exercises to create shared understanding
    Practical templates that you can reuse after the training

    When relevant, we can use hands-on examples with selected partner tools, but the program remains tool-agnostic and capability-led.

    Clear boundaries

    Not a tool course
    Not a generic AI fundamentals program
    Not implementation work
    Not a strategy project disguised as training

    This is training designed to build capability and a repeatable way of working.

    Light input, strong participation

    To make the training most effective:

    Bring a cross-functional group that can act on outcomes
    Have 1–3 customer journeys in mind (or we can select them together)
    Bring any customer signal sources you already have (support themes, sales objections, feedback)
    Ensure a leadership sponsor is present for alignment and follow-through

    Other ways I can help

    Speaker

    Keynotes, talks & panels

    Practical, focused talks on AI and customer experience — from signals to growth.

    Learn more →

    Personal AI Coach

    1:1 sessions (flexible)

    Trusted, vendor-neutral mentoring for leaders navigating the AI era. Build clarity, align AI opportunities with your strategy, and define practical next steps.

    Learn more →

    Workshop

    Half-day or full-day

    Map the experience, identify the best signal sources, and define one pilot-ready opportunity for new value creation.

    Learn more →

    Advisory sprint

    2–4 weeks

    Turn a workshop outcome into a concrete pilot plan, measurement approach, and internal rhythm for continuous improvement.

    Learn more →
    "My UX & UI design skills have greatly improved as a result of his thoughtful guidance."

    Fakhri Aslan

    "Working with Valto is learning constantly… working side by side with him… has provided me more knowledge in entrepreneurship than 10 years of studies."

    Ana-Belén Abundio Femenía

    "Inside of a month, I had the ability and confidence to pitch what EnterpriseHelsinki NewCo Factory does to an international audience."

    Mika Valtasaari

    Highlights from public recommendations. View all received recommendations on LinkedIn.

    Get in touch

    Share your context and goals. I will suggest whether 1 day or 2 days is the best fit.

    No spam or mailing lists. You’ll hear directly from me.