Engagement
Build
Four outcome-led engagements — from team enablement to platform pilots and custom learning tools. A working capability your team owns, built around the skills you need, in weeks.
From
3–6 weeks
- Format
- 4 outcome-led engagement types
- You walk away with
- A working capability your team owns, with train-the-champion handover
Why now
Every build engagement ships a learning artefact alongside the technical one — an enablement plan, train-the-champion handover, and measurement hooks so the capability sticks.
Four ways to build
AI Literacy & Enablement Program
Role-tailored AI fluency for your organisation — leadership briefing, hands-on workshops by function, an internal playbook, and a documented enablement plan your team owns.
- Leadership briefing and stakeholder alignment
- Hands-on workshops tailored by role and function
- Internal playbook with patterns for your actual work
- Documented enablement plan aligned to EU AI literacy expectations
- Train-the-champion handover so capability sticks
Learning outcome: Curriculum design, pedagogy, and in-the-flow-of-work practice — with measurable capability uplift.
Learning Platform Pilot
Stand up a working, AI-native learning capability with a real cohort — ikigize or a vendor-neutral alternative — validated on real content and users before you commit further.
- Platform selection or ikigize pilot configuration
- Real cohort onboarded with real content
- Adoption and enablement plan for admins and learners
- EU-hosted, GDPR-compliant infrastructure
- Measurement plan for engagement and skill outcomes
Learning outcome: Designed around learning outcomes and adoption — not just features.
Learning Tool / Agent Prototype
A scoped, bespoke internal capability: onboarding assistant, skills navigator, private Q&A over your materials, or AI content tooling — source code and handover included.
- Use-case scoping with clear acceptance criteria
- Working prototype tested with 5–10 real users
- Source code, architecture docs, and handover session
- EU-hosted infrastructure
- User testing report with go/no-go recommendations
Learning outcome: Framed by the skill or capability it builds — not the model under the hood.
Content & Curriculum Architecture Sprint
Turn scattered materials into a structured, skills-mapped curriculum — the pedagogical backbone that makes any platform or AI tool actually useful.
- Content inventory and quality assessment
- Skills-mapped curriculum architecture
- Learning path design for priority audiences
- Governance model for content maintenance
- Implementation roadmap for rollout
Learning outcome: Pure learning design — the educational expertise that makes technology investments pay off.
Every build follows the same arc.
Scope
Use-case workshop with stakeholders. Success criteria and acceptance tests defined. Learning outcomes co-designed.
Output: Scope document and acceptance criteria
Build
Core delivery — enablement program, platform setup, tool development, or curriculum architecture. Iterative reviews with your team.
Output: Working capability
Validate & handover
User or cohort validation. Train-the-champion session. Documentation and handover pack.
Output: Validated capability with enablement plan
How we work
Double Diamond
We expand to explore the problem, then converge before writing code or running a single workshop — so scope stays tight.
Jobs-to-be-Done
Every engagement is defined by what learners or teams need to accomplish, so success criteria are clear from day one.
70:20:10 learning design
Experiential, social, and formal learning are woven together, so enablement embeds practice in real work — not slide decks alone.
Train-the-champion
Every build includes handover to an internal owner who can sustain the capability — you own the outcome, we don't create dependency.
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