The Product Operating Model for AI-DLC.

In AI-driven development, AI agents do more of the execution — breaking down work, writing code, running checks. People stay in the middle of the loop: they set goals, approve scope, review work and sign off releases. Project Simple makes those human checkpoints fast and well-informed, so AI speed turns into predictable delivery instead of more noise.

AI-DLC is the AI-driven development lifecycle: a way of delivering software in which AI helps break down work, write code, run checks and surface risks. People still set the goals, approve the scope and make the release decisions. Project Simple connects those steps in one operating model, so faster execution stays aligned with the outcome.

Adding agents can speed up individual tasks, but a tracker still leaves goals, reviews, quality and releases scattered across tools. Project Simple connects the whole delivery model, giving AI the context to explain risks and recommend what to do next. Your people keep control at the checkpoints, with the information they need to make each call.

Our mission is to enable every organization to benefit from a better operational model with a simple, common-sense project and product management experience for everyone involved.

Because of that philosophy, we do not charge per AI token or AI usage. All AI capabilities in Project Simple are available as part of the Enterprise Plan.

Many vendors wrap AI features into their product and charge customers based on token consumption. While this model benefits the vendor, it often creates uncertainty for customers because AI costs grow with usage.

Project Simple takes a different approach.

Instead of bundling proprietary AI on top of public large language models and reselling token usage, we allow customers to connect their own AI provider directly.

Organizations can configure API keys for the AI provider of their choice, such as OpenAI, Anthropic, or others supported by their environment.

This approach provides several advantages:

• Full transparency of AI costs – customers pay the AI provider directly
• Freedom of provider choice – organizations can use the LLM they prefer
• Security and governance control – API keys remain under customer control
• No vendor lock-in to a specific AI implementation

Project Simple also allows organizations to customize AI prompts and behaviors to better match internal processes, terminology, and governance requirements.

This gives teams the ability to control how much AI assistance they want in the platform while maintaining full visibility and ownership of how AI is used.

In short, Project Simple includes the AI capabilities, while customers retain control over the AI engines powering them.

Companies that require increased control over their data may choose different types of On-Prem deployment models as part of the Enterprise Plan:

1. Project Simple can be set up so that the backend multi-tenant data is stored separately and is not co-mingled with other accounts.
2. Customers already using public clouds like AWS or GCP may choose to deploy an isolated instance of Project Simple in their own environment.
3. Companies with private cloud environments may request Project Simple to be deployed within their internal infrastructure or data center.

Depending on the option selected, there may be different infrastructure, setup, and operational requirements. These may include initial environment configuration, deployment automation, security configuration, and ongoing maintenance of the platform.

Enterprise deployments may also include scheduled releases, monitoring, and dedicated support to ensure the system operates reliably within the customer’s environment.

Speak with our Team to share your needs and explore many available options to get you started.

Project Simple is built to support complex enterprise environments.

It was purpose-built to handle the realities of scale: coordinating many teams, running multiple products and initiatives in parallel, and maintaining a single, unified view of delivery across the business.

As organizations grow, Project Simple provides the structure and visibility needed to keep work aligned without adding process overhead or administrative burden. Leaders gain clarity, product teams stay connected to outcomes, and delivery remains transparent across departments.

The same foundation also works seamlessly for smaller teams. Startups can get up and running instantly, no complex setup, no heavy administration, using the same proven operating model that continues to scale as the organization grows.