Delivery Acceleration
AI Delivery Acceleration Sprint
A time-boxed enablement sprint for teams that want measurable workflow gains within a normal delivery cadence.
₩9,800,000 · 3 weeks · Remote sprint with office hours
Program description
The sprint identifies a delivery bottleneck, builds AI-assisted workflow experiments, and documents what should scale. Teams compare cycle touchpoints before and after the sprint without claiming unrealistic productivity leaps.
Best fit: 6-16 people, intermediate level, focused on delivery speed.
Responsible lead
Grace Moon
Developer Enablement Specialist with a background in platform engineering adoption.
Included features
- Delivery bottleneck workshop
- Experiment backlog
- AI-assisted implementation labs
- Cycle review checklist
- Manager reporting template
Implementation outcomes
- Three tested workflow experiments
- Evidence notes for leadership
- A scale-or-stop recommendation
Questions teams ask
Can we use our own repository and workflow data?
Yes. Teams can bring sanitized examples, internal process notes, or non-sensitive pull requests. We do not require access to production systems.
What is not included?
The bootcamp does not replace security review, legal review, or procurement approval for a new AI vendor. It gives your team the working practices and rollout artifacts to support those decisions.
How much engineering time is expected?
Most teams reserve two half-days for live sessions and three to five hours for implementation labs between sessions.
Participant notes
The sprint format kept the work inside our normal delivery rhythm instead of becoming a side project.
Client in enterprise SaaS
Their measurement template was conservative, which made it easier to share with leadership.
D. Park, Product Engineering Director