Build agentic delivery into the way your teams work.
Many development teams now have access to AI tools, while handoffs, review queues and manual controls continue to slow delivery. Applying AI to isolated tasks can improve individual productivity, but greater gains depend on redesigning the wider delivery workflow.
Agentic delivery is a software delivery model where people and AI agents work together across a shared workflow. Agents support repeatable analysis, engineering, documentation and controls, while experienced people retain responsibility for context, decisions, security and quality.
Arinco’s Agentic Delivery Accelerator embeds consultants within your squad to apply this model to real delivery work. Together, we establish success measures, deliver working software and codify effective practices into reusable agents, guardrails and ways of working.
Turn reviews and approvals into automated controls within the delivery pipeline.
Improve team performance by redesigning the whole workflow, not just individual tasks.
Improve delivery each week using evidence from working software shipped to production.
Keep capability in-house through codified skills, agents, guardrails and ways of working.
Agentic software delivery uses AI agents alongside people to support work across the development lifecycle. Agents can assist with repeatable analysis, engineering, documentation and controls, while delivery teams provide context, judgement and oversight.
AI agents can support tasks such as analysing requirements and code, generating documentation, assisting with testing, applying delivery controls and automating repeatable engineering work. Their role should be defined around the organisation’s workflows, risks and delivery goals.
AI agents should operate within defined roles, permissions, guardrails and review processes. Teams also need clear accountability, testing and monitoring so agent-supported work meets security, quality and operational requirements.
Talk to Arinco about redesigning your software delivery workflows and introducing governed agents, automated controls and reusable practices.
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