Agentic SDLC

Move More Software Work From Request To Accepted Output

Scale agentic software delivery across build, test, review, and release, with clear human authority, evidence, and cost visibility.

The Problem

AI coding gains have not fixed delivery

AI coding tools can speed up individual tasks, but review, testing, security, approvals, and handoffs still slow the path to production. As teams introduce agents into software delivery, they need clear ownership, evidence, and control over the work moving through the system.

79%

of developers and technology buyers say individual productivity has improved with AI, while the overall software delivery process has not accelerated at the same pace.

Source: GitLab 2026 AI Accountability Report, a survey of 1,528 developers and technology buyers across six countries.

What Changes

A clearer delivery path for software work

Before AIOS

Work moves through tickets, queues, tools, and team handoffs

Context and decisions sit across systems and individuals

Agent activity is difficult to manage across the full workflow

Reviews and approvals happen late or inconsistently

Evidence is assembled manually after work is complete

After AIOS

One work path connects request, context, execution, review, and release

AI agents take defined tasks using approved context and guardrails

Human approval is built into the points that require authority

Status, cost, decisions, tests, and approvals stay connected to the work

Evidence is captured as the work progresses

Before AIOS

With AIOS

Work moves through tickets, queues, tools, and team handoffs

One work path connects request, context, execution, review, and release

Context and decisions sit across systems and individuals

AI agents take defined tasks using approved context and guardrails

Agent activity is difficult to manage across the full workflow

Human approval is built into the points that require authority

Reviews and approvals happen late or inconsistently

Status, cost, decisions, tests, and approvals stay connected to the work

Evidence is assembled manually after work is complete

Evidence is captured as the work progresses

How work moves through AIOS

AIOS is already at work inside Zafin

Zafin is Customer Zero for AIOS. We use AIOS to orchestrate defects and enhancement requests for Deal Manager, a complex corporate and commercial pricing capability in Zafin’s Banking Platform.

100%

Of AIOS-routed work is instrumented with status, duration, cost visibility, and proof of work.

80%

Reduction in cost per resolution through model-usage optimization and workflow visibility.

75%

More enhancement requests and defects resolved without proportional engineering-capacity growth.

The human describes the defect at a high level, but the agent elaborates it, reproduces it with evidence, and fixes it with detailed proof of work.

Shahir DayaCTO & Head of AIOS

Capabilities

Govern every step of your workflow

Control

Set agent roles, review gates, escalation paths, and ownership across the software delivery workflow.

Prove

Retain the record of inputs, work performed, test evidence, decisions, approvals, and accepted outputs.

Optimize

Use visibility into status, duration, cost, and feedback to improve how delivery work runs over time.

Where to start

Start where manual work, rework, or handoffs slow progress

Defect triage and
resolution

Enhancement requests

Test evidence and review preparation

Release-readiness and exception handling

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Bring Governed Delivery To Your Next Workflow

Start with one software delivery workflow where the pressure, complexity, and need for control are already clear.