The Agentic Development Life Cycle
The Agentic Development Life Cycle
Bringing the rigor of traditional software development practices to agentic AI, so it's safer than ever to scale across the enterprise.
Bringing the rigor of traditional software development practices to agentic AI, so it's safer than ever to scale across the enterprise.
How It Works
The Agentic Life Cycle Development framework contains three layers that keep workflows protected at every stage.
How It Works
The Agentic Life Cycle Development framework contains three layers that keep workflows protected at every stage.
How It Works
The Agentic Life Cycle Development framework contains three layers that keep workflows protected at every stage.
step 1
Environment Separation
Environment Separation
Environment Separation
Environment Separation
Distinct development, production, and staging environments are included by default, and more can be created.
Environments
Manage Environments
step 2
Version Control
Version Control
Version Control
Version Control
Every time you save changes to an agent, StackAI creates a new version. This creates an audit trail that includes detailed diffs between any two versions, so teams can instantly understand if something changed.
step 3
Approval Workflows
Approval Workflows
Approval Workflows
Approval Workflows
Builders can freely edit agents in their development environment and save their work and test it locally—but before publishing, they must create a “pull request” for approval by a manager.
User request to publish 'v7' to Production.
Approve
Project
Created By
Interface
Runs
Errors
Customer Agent
J
jane@doe.com
Form
39
38
Desk Assistant
M
mark@doe.com
Batch
27
0
Risk Analyst
H
harry@doe.com
Form
12
10
New Project
A
anna@doe.com
Form
10
0
Kai Benothman
AI Engineer at STACKAI
"In the enterprise of the future, business teams will own agent development, while IT teams and CIOs maintain a central bird's-eye view through governance tools like ADLC. Every team gets the flexibility to move fast; leadership gets the control it needs to stay safe."
"In the enterprise of the future, business teams will own agent development, while IT teams and CIOs maintain a central bird's-eye view through governance tools like ADLC. Every team gets the flexibility to move fast; leadership gets the control it needs to stay safe."
FAQ
Frequently Asked Questions
About AI Agents and the Enterprise AI Platform
FAQ
Frequently Asked Questions
About AI Agents and the Enterprise AI Platform
What exactly are AI agents, and how do they work?
Do I need technical skills or coding knowledge to use StackAI?
Can StackAI process unstructured documents (PDFs, scans, spreadsheets)?
Is StackAI secure enough for sensitive data?
How and where is our data stored when using StackAI?
What is the Agentic Development Lifecycle (ADLC)?
What exactly are AI agents, and how do they work?
Do I need technical skills or coding knowledge to use StackAI?
Can StackAI process unstructured documents (PDFs, scans, spreadsheets)?
Is StackAI secure enough for sensitive data?
How and where is our data stored when using StackAI?
What is the Agentic Development Lifecycle (ADLC)?
What exactly are AI agents, and how do they work?
Do I need technical skills or coding knowledge to use StackAI?
Can StackAI process unstructured documents (PDFs, scans, spreadsheets)?
Is StackAI secure enough for sensitive data?
How and where is our data stored when using StackAI?
What is the Agentic Development Lifecycle (ADLC)?
Get started
Let’s Build AI Agents, Together
Book a demo to see how AI agents can help your team process unstructured documents and perform complex analysis faster and more accurately.
Get started
Let’s Build AI Agents, Together
Book a demo to see how AI agents can help your team process unstructured documents and perform complex analysis faster and more accurately.
©2026 StackAI. All rights reserved
Made by PhDs at
Made by PhDs at
©2026 StackAI. All rights reserved
Made by PhDs at
©2026 StackAI. All rights reserved