Darla AI  /  The Cycle
- Ongoing AI capability

The
Cycle.

AI moves too fast for one-shot training. A programme that was current in January is partially obsolete by June. The Cycle is the retainer model that keeps your organisation's AI capability current: model upgrades, workflow refresh, and role re-baselining as the technology evolves.

Most organisations that complete a Transform or Enterprise engagement move into a Cycle retainer. Not because they have to; because the alternative is watching the investment fade as the technology outpaces the training.

- Three sizes

Choose your
level of embed.

Essential
Stay current.
5-10 hours per month
✓Async support: questions answered within 24 hours
✓Quarterly review session: 90 minutes
✓Model upgrade briefings: when Claude or ChatGPT releases a significant update
✓Monthly usage digest: what the team is doing, what is drifting
5-10 hours / month
Minimum 3 months · Discuss fit →
Standard · Most chosen
Stay embedded.
10-25 hours per month
✓Everything in Essential
✓Monthly leadership briefing: 60 minutes with the sponsor
✓Workflow refresh: one department re-baselined per quarter
✓New-hire onboarding: AI capability embedded from day one
✓Access to new Darla Method modules as they are released
10-25 hours / month
Minimum 6 months · Discuss fit →
Embedded
Fractional Chief
AI Officer.
25+ hours per month
✓Everything in Standard
✓David Ward as Fractional Chief AI Officer: named, on the org chart
✓AI governance framework: policy, data handling, escalation paths
✓Adoption tracking: monthly metrics reported to the board
✓Strategic AI roadmap: updated quarterly
✓Board and ExCo access: available for leadership meetings
25+ hours / month
Minimum 12 months · Discuss fit →
- Why ongoing matters

Training fades.
The Cycle doesn't.

Three things that happen to every organisation that does not have ongoing AI capability support.

01
The model upgrades. The training doesn't.
Claude 4, GPT-5, whatever comes next: each release introduces capabilities that the previous training never covered. Without a refresh, the team is using yesterday's knowledge on today's platform.
02
Early adopters drift. Sceptics revert.
The first three months after training are where adoption either compounds or collapses. Without an ongoing accountability structure, the motivated people drift and the sceptics find confirmation that it was never going to work.
03
New hires arrive untrained.
Every new team member who joins without AI onboarding is a capability gap. Within twelve months, a third of the trained cohort may have left. The Cycle includes new-hire integration as standard from the Standard tier.
- Start with the diagnostic

Book the AI
Readiness Audit.

The Cycle follows a programme. The Audit is where every engagement begins: a four-week diagnostic that tells you exactly where to start and which tier fits.

Priced on enquiry
4 weeks · Fee credited on engagement
Book the Audit →