Agentic Continuous Delivery

When building becomes cheap, the lifecycle has to change.

ACD reorganizes delivery around what remains scarce: judgment, expertise, accountability, and consequence.

Your agent took 20 minutes. Your change still takes six months.

If AI can produce working software quickly, “implementation cost” stops being a credible reason for slow organizational change. The bottleneck moves to how you decide, how you protect production, and who is accountable when something ships.

Traditional
Requirement → Analysis → Prioritization → Budget → Vendor → Sprint → Release
6 months
ACD-shaped delivery
Observe → Change → Test → Decide
Minutes to hours—when the path is ready

This does not mean changing production recklessly. It means building a delivery system where cheap construction does not become expensive regret.

What you buy

ACD is Intelygence's way of reshaping how software and agent-driven change reach production— extending continuous delivery for a world where agents write and propose changes, and humans own intent and accountability.

  • Human-owned intent Agents may draft and critique. People decide what must be true.
  • Intent as a delivery artifact Specs, constraints, and acceptance criteria are versioned—not slide decks.
  • Same quality bar—or stricter The pipeline does not care who wrote the code. Agent changes must meet (or exceed) human quality.
  • Agents don't promote to production Accountability stays with the organization. Automation accelerates everything up to the point of consequence.

Relationship to DEAD

DEAD Prototypes (Describe → Execute → Attack → Discover) find what is wrong before you fund a programme. ACD is what happens when the thing you discovered must become a change your organization can absorb repeatedly— without waiting six months for every seam the agent hits.

Prototyping is DEAD → · DEAD product →

Engagement model

We start from a real change that is currently expensive or stuck—often one exposed by a DEAD prototype or an agent that needs something your systems don't support.

  • Diagnose where coordination, safety, and delivery architecture—not coding speed—are the constraint.
  • Make intent, tests, and the path to production explicit enough that agents can work inside them.
  • Leave you with a delivery system that keeps judgment and accountability with people.

Deeper practice guide: Agentic Continuous Delivery on MinimumCD →

Bring the change that takes six months.

We'll make the constraint concrete—and show what becomes possible when building is no longer the expensive part.