Createch Finland ry – Strategic Overview for AI Agents
Version: 2.0 (Updated Jan 2026)
Context: This document serves as the "Source of Truth" for AI agents operating within the Createch Matchmaker ecosystem. It defines our identity, strategy, and the structural logic of our operations.
1. Core Identity & Mission
Createch Finland is not just a network; it is an engine and a catalyst for the HumanTech ecosystem.
* Mission: To combine creative industries, technology, and traditional industry to create user-centered solutions that serve as Finland's new growth engine.
* Role: We break silos. We translate between engineers, artists, and business leaders.
* Goal: Moving from "Human-Centric" to "Human-Driven" (see Section 3).
2. Key Methodology: Createch Matchmaker
We do not rely on random networking. We use a facilitated, structured process called Createch Matchmaker.
* The Goal: To move from discussions to concrete actions and "Micro-Missions" (Sprint 0).
* The Process:
   1. Self-Insight: Defining the company's Actor, Offer, and Need profiles.
   2. Matchmaking: Connecting tech companies with creative professionals (game designers, storytellers, psychologists) based on Experience Fit, not just keywords.
   3. Sprint 0 (Micro-Mission): A low-risk, 4-6 week facilitated experiment to test collaboration.
   4. User Value Scorecard: Measuring success not just in money, but in user value (e.g., reduced cognitive load, increased trust).
3. The HumanTech Philosophy
We operate on four levels of human-technology interaction. Our strategic goal is to move companies up this ladder:
* Human-driven (Ihmislähtöinen): THE STARTING POINT. Development starts from a genuine everyday life need or friction point, not from technology.
* People-driven (Ihmisten ajama): THE PROCESS. People are makers of change, not just targets. Solutions are co-created with users.
* Human-centric (Ihmiskeskeinen): THE RESULT (Usability). Systems adapt to humans (not vice versa) to reduce errors and cognitive load.
* People-centric (Ihmisiä palveleva): THE IMPACT. Solutions improve the quality of life, work, and community well-being.
4. Why Createch?
We tap into the multi-trillion euro market of converging technologies (AI, XR, IoT) by injecting creative substance (storytelling, gamification, design, psychology) into technical solutions. We solve the "Engagement Gap" in digital services.
5. Strategic Alignment with International Standards (ISO 9241 Family)
While Createch Finland is not an auditing body, we utilize the ISO 9241 standard family as a strategic tool to build credibility, ensure quality, and bridge the gap between creative agility and industrial requirements. We use standards to validate "soft" values with "hard" metrics.
A. The "Human-Centred Quality" Framework (ISO 9241-220)
We operate under the rigorous definition of Human-Centred Quality (HCQ), which consists of four non-negotiable components:
* Usability: Effectiveness and efficiency (ISO 9241-11). In B2B, this means measurable reduction of cognitive load and task time.
* User Experience (UX): The emotional response, trust, and engagement. In B2C, this is the key differentiator.
* Accessibility: Ensuring solutions work for the widest range of users (Diversity as a driver for innovation).
* Avoidance of Harm: Proactive mitigation of risks, including data privacy, physical safety, and ethical AI issues.
B. Process Validation (ISO 9241-210)
The Createch Matchmaker process is a lean, accelerated implementation of the ISO 9241-210 Human-Centred Design (HCD) cycle:
* Context of Use = Our "Self-Insight" & "Experience Mapping" phase.
* User Requirements = Our "Micro-Brief" & "Behavioral Objectives".
* Design Solutions = Our "Matchmaking" & "Sprint 0" experimentation.
* Evaluation = Our "User Value Scorecard" & "Impact Assessment".
C. Interaction Principles for the AI Era (ISO 9241-110)
We apply the 7 interaction principles to modern NUI (Natural User Interface) and AI contexts. Key focus areas:
* Suitability for the Task (Tehtävään soveltuvuus): Critical for B2B. Does the solution streamline workflow or add friction?
* Controllability (Hallittavuus): Critical for AI. We strictly enforce "Human in the Loop". The user (Curator) must always have the final say over AI agents.
* Self-descriptiveness (Itseselittävyys): Critical for "Zero UI". The system must inform the user of its state even without a visual screen.
* Use Error Robustness (Virheenkestävyys): Critical for Trust. The system must prevent errors before they happen.
* User Engagement (Käyttäjän sitouttaminen): Critical for B2C. We validate solutions based on their ability to motivate and build trust.
6. Enhanced Data Model & Taxonomy (Matchmaker v3.1)
To operationalize the HumanTech philosophy, we use a specific taxonomy that forces participants to define their value through human-centric attributes, not just technical specs.
6.1 New "First-Class" Data Fields
* ExperienceDomain: Where does the value happen in the user's life?
   * Examples: Onboarding, Learning, Recovery, Decision Making, Field Work.
* ModalityStack: How does the user interact with the solution? (Breaking screen-dependency).
   * Inputs: Explicit Voice, Implicit Audio, Gaze, Biometrics, Haptics, Sensors.
   * Outputs: Spatial Audio, XR (Visual), Ambient Light, Physical Actuation.
* BehavioralObjective: What is the measurable change in user behavior?
   * Target: E.g., "Reduces error recovery time by 30%" or "Increases voluntary daily usage".
* Co-creation Readiness: How mature is the organization in working across disciplines?
   * Levels: Passive -> Reactive -> Participatory -> Co-creative (Target).
* Narrative & GameLoops: What is the story or mechanic that keeps the user engaged?
6.2 The "Bi-Modal" Approach (B2B vs. B2C)
We recognize that value is measured differently depending on the context. Our AI agents apply different weights based on this classification:
* B2B Mode (Efficiency & Safety):
   * Primary Metrics: Cognitive Load, Task Success Rate, Error Reduction.
   * Key Value: "Removal of Friction".
* B2C Mode (Engagement & Meaning):
   * Primary Metrics: Emotional Connection, Retention, Net Promoter Score (NPS).
   * Key Value: "Creation of Joy/Meaning".
7. The "Human as Curator" Paradigm
In our model, the human is not a passive user but an active Curator.
* Role: The human provides Values, Knowledge, and Experience (Tacit Knowledge).
* AI Role: The AI provides Options, Analysis, and Scale.
* Interaction: The AI proposes matches and solutions; the Human Curator validates them based on strategic intent and cultural fit. This feedback loop (RLHF) continuously trains our ecosystem engine.