Mortanas Academy
When is an organisation ready for corporate AI training?
An organisation is ready to pilot when it has a defined business outcome, named role groups and tasks, safe-use rules, approved tool and data access, applied practice, observable transfer measures and manager support after the course.
Assess seven readiness conditions
Score observable current evidence, not intention. Use the weakest dimension to decide what must be prepared before a role-based pilot.
Assess your organisation
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The seven-condition readiness model
The matrix measures whether learning can transfer into controlled work. Attendance, content completion or tool excitement are not sufficient evidence. Each condition needs an owner and an observable artefact.
| Condition | Minimum evidence | Owner example |
|---|---|---|
| Purpose | Named task and baseline business measure | Business sponsor |
| Roles | Role-task-risk map | Team lead |
| Policy | Permitted and prohibited use examples | Governance owner |
| Data/tools | Approved access and safe practice environment | IT/data owner |
| Practice | Representative exercises with feedback | Learning designer |
| Measurement | Pre/post task evidence and follow-up | Programme owner |
| Support | Manager coaching and escalation route | Line manager |
Worked example: a 40-person sales team
The organisation wants AI training to improve account research and meeting preparation. Tool access and executive sponsorship are strong, but there is no approved source policy and no baseline for brief quality. The matrix scores 13/21. Instead of launching company-wide training, the team defines approved sources, designs a scored research brief and pilots with eight account executives for six weeks.
Pilot evidence
- Brief factual accuracy and source traceability
- Preparation time against baseline
- Manager correction burden
- Safe escalation of uncertain claims
Claims to avoid
- Guaranteed sales or productivity gains
- Completion as proof of workplace competence
- One curriculum for every role and risk
- Tool access without data-use boundaries
A practical 4–6 week pilot sequence
Select one task, collect existing work samples and agree a scoring rubric.
Teach permitted use, source handling, verification and escalation using role examples.
Practise the real task with feedback, counterexamples and progressively reduced support.
Observe task quality, corrections, exceptions and sustained use under normal controls.
Evidence and primary sources
Verify the current version of each source when implementing. This learning tool does not replace legal, security or professional approval.
How this resource was prepared
Mortanas Academy Editorial reviewed primary public and standards sources and transformed applicable elements into an original working model. AI assisted drafting and language quality checks; scope, scoring logic, source selection and final publication received human editorial review.
Frequently asked questions
Is AI literacy training enough?
It is a necessary foundation, but role-based practice, permitted tools, workflow evidence and post-course support are needed for workplace transfer.
Should every employee receive the same programme?
No. A shared baseline can be common, but practice, risks, tools and assessment should reflect actual roles and authority.
What should be measured after training?
Measure observable task performance, quality, safe escalation, source use, correction burden and sustained behaviour—not attendance alone.
Does a high readiness score guarantee ROI?
No. It supports a better-designed pilot. Commercial and productivity outcomes depend on the selected tasks, adoption, management and operating context.