Memory hook: People, process and data must be ready together.
Must remember
Assess leadership sponsorship, process ownership, data quality/access, infrastructure, security, skills and adoption readiness. Maturity is not the number of models purchased. Identify the specific gaps that block a use case and sequence enabling work before promising scale.
Data foundations need lawful access, ownership, quality, discoverability, lineage and lifecycle management. Fragmented or untrusted records can undermine retrieval and model evaluation. Infrastructure must support integration, identity, monitoring, resilience and expected workload demand. Business leaders need enough literacy to challenge assumptions without personally implementing every component.
Design the future workflow with employees and users. Explain what changes, what remains human-controlled and how errors are reported. Provide role-specific training, safe practice, champions and support. Measure demonstrated capability and sustained use rather than attendance alone.
Address incentives and concerns honestly. If employees are punished for reporting AI mistakes, apparent adoption can hide unsafe workarounds. Define how saved time will improve service or capacity, and involve relevant workforce/HR stakeholders in role changes. Keep accountability clear when work crosses human and automated steps.
Choose under exam pressure
| Requirement | Choice and reason |
|---|---|
| Good model, poor source data | Prioritize data ownership and quality remediation. |
| Low user adoption | Investigate workflow fit, incentives, training and trust. |
| Organization-wide rollout | Assess readiness by team/process rather than assuming one pilot represents everyone. |
Traps
- Training attendance is not proof of job readiness.
- Central technology ownership does not remove business-process accountability.
Active recall
1. What does readiness include besides technology?
Leadership, people, processes, data, governance and adoption capability.
2. Why involve users early?
They reveal workflow constraints and help test whether the solution is useful.
3. Why maintain lineage?
To trace information origin and transformations.
4. What is role-specific training?
Instruction targeted to the actual decisions and tasks a role will perform.
5. Why align incentives?
People’s behavior determines whether adoption is transparent, useful and safe.