SMALLEST SENSIBLE NEXT STEP
Exploring a cell does not assess your organisation.
Proposed LecXie framework · Assessment saved in this browser only
01 / EXPLORE
One organisation. Nine strands.
Choose an area and a capability state to see concrete AI possibilities, prerequisites and evidence. You can explore without taking an assessment.
Analytics supports every discipline. Data, technology and AI owns shared foundations; each strand owns its decision-relevant outcomes. Dashboards alone do not demonstrate maturity.
Inner → outer: Foundational to Renewing.
Arc area does not represent value. This is a navigator, not a score.
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Keyboard: ← → strand · ↑ ↓ level · Enter / Space select
● Selected cell01–09 Strand numbers1–5 Capability states
PEOPLE · WORK · ORGANISATIONAL LEARNING
Capability grows
through connection.
See practical ways AI could help people plan work, build skills and learn together. Explore what must be in place — then assess your own situation.
Evidence before ambition. Accountability at every level.
Explore the wheel →Then assess your organisation →Nine areas · five capability states · proposed LecXie framework
02 / SEE THE CONNECTIONS
From demand to learning.
And back again.
A service team receives a new customer demand. Follow what has to connect for the organisation to respond and learn.
Evidence of the handoff
Planning, allocation, learning, work design and knowledge form the loop. Leadership, services, technology and governance provide accountable support throughout. Automation is optional; accepted handoffs and usable feedback are essential.
YOUR STARTING POINT
Take a simple self-assessment.
Answer questions across all nine domains, see the current view, agree realistic targets, then choose your next actions. Start by setting one team or workflow as your scope. You can skip a question or say you don’t know.
No wheel knowledge needed. Your answers indicate where to investigate; they do not establish a validated maturity level.
Discuss these results with Dominic.
You choose what to share. Your assessment answers stay in this browser; opening the contact page does not send them.
Discuss your context →Optional deep dive · evidence, sub-areas and target review
03 / PROVISIONAL SELF-ASSESSMENT
What does your scope need next?
Start with one observable-practice screener per strand; open targeted probes where needed. Capture a working view, with confidence and evidence notes. No automatic validated assessment, numeric average or remote collection. Choose targets that suit the objective, including targets below Level 5.
Unassessed means unknown. “Foundation not demonstrated” records a reviewed evidence gap; neither is Level 1. Later levels require evidence that relevant foundations remain in place.
Optional · keep AI adoption and use-case assurance separate
A capability view does not authorise an AI use case. Record a proposed aid and any unresolved condition; no live AI is run here.
No account. No backend. Stored in this browser only.
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04 / BASIS & BOUNDARIES
A framework to investigate.
An invitation to improve it.
How to read the model
This is a proposed LecXie framework for exploration. The five states are ordinal descriptions, not equal intervals. We do not average them into a maturity score or rank organisations.
Current capability, AI adoption and use-case assurance are separate questions. A team can have strong capability with little AI. An AI tool does not establish connected or renewing capability.
At higher maturity, historic HR silos become discreetly embedded in business activity. Disciplines retain owners, decision rights and accountability. Renewal includes stopping approaches that no longer work.
Source basis
- CIPD Profession Map ↗People practice, evidence and business context.
- NIST AI Risk Management Framework ↗Contextual risks, evaluation and accountable use.
- NIST CSF Profiles ↗Current / target outcomes and scoped priorities; not a workforce maturity standard.
- SFIA 9 ↗Skills and responsibility; its levels are not these five rings.
- OECD · AI and work ↗Work, skills and employee outcomes.
- SEI · AI adoption complexities ↗Comparative reference on organisational adoption.
- Gartner · HR Score ↗Published reference for HR capability review; proprietary assessments are not reproduced.
- KPMG · Powered HR ↗Operating-model and process coverage reference.
Review status
These sources inform the design; none endorses this model. This is not a validated standard, certification, legal compliance determination or peer benchmark.
AI and non-AI examples are illustrative options, not product demonstrations or promises. Conditional future possibilities require testing in the actual context.
A separate source-linked comparator review informed coverage. Integration, human-centred work and continuous renewal already appear in established approaches; no claims of novelty, completeness or superiority are made here. Sub-capabilities and real-world case evidence can be added within these nine strands.