Process, structure and platform for agentic AI
Fae is our way of introducing agentic AI in an organization. It's not just technology — it's a combination of proven process, clear structure and a technical platform that connects to your existing environment.
Fae stands for Full Agentic Enterprise. It's not a single AI tool — it's a framework that combines our process for introducing agentic AI, a structure for governance and human-machine collaboration, and a technical platform with specialized agents. But it's also our accumulated experience of what works and what doesn't when AI agents work in real codebases, with real teams and real deadlines.
The AI landscape changes rapidly. New models and tools appear every week. Fae is built for that reality: the process and governance are independent of which AI model is used. We can switch underlying models without affecting workflows, quality assurance or your daily operations. You're never locked in to a single vendor.
People keep working in the tools they love — the agents handle the handovers between the stages of the delivery process. Your developers can also plug their own AI agents, like Claude Code or Codex, into the same framework. Everything shares one knowledge graph: decisions, context and history, owned by your organization.
Adapted to your reality
Every organization is different. Fae is not one-size-fits-all — you choose the setup that fits you.
Your developers, your pace
Your own developers use Fae as a tool in their daily work. We set up the platform, build domain knowledge and support — but your team runs it.
Together
Our AI tech leads work side by side with your developers. The combination of your domain knowledge and our experience with agentic AI delivers the fastest results.
We run it — you get software
If you only care about output, we handle everything. You prioritize, we deliver. Code, documentation and pull requests — ready to review and merge.
Fully autonomous
Fae works on its own with tasks from your board. Humans review and approve, but initiation and implementation happen autonomously.
The technical platform
A team of specialized AI agents works in every stage of the delivery process — and in the handovers between stages. The fleet also includes budget, compliance and monitoring agents, plus three agents that serve the knowledge graph: a meeting agent you can invite to your Teams calls, a knowledge agent that connects your data sources, and a documentation agent that keeps documentation alive.
Builder
BuildsImplements code autonomously. Picks tasks from your board, pulls context from the knowledge graph, writes code and creates pull requests.
Product manager
CoordinatesCommunication via Teams, board management and coordination between humans and platform.
Planner
PlansBreaks down needs and features into concrete, runnable tasks.
Reviewer
Code reviewIndependent code review against best practices, security and maintainability. Can be used as a quality gate before deployment or handover.
Tester
TestsWrites and runs tests that verify behavior before anything moves on.
Security
SecurityMonitors security in delivered code and identifies vulnerabilities.
Architect
ArchitectureReviews architectural decisions and ensures patterns and principles are followed.
Investigator
InvestigatesInvestigates production errors and incidents — from symptom to root cause and proposed fix.
Digital resilience
Model-independent
Fae is not tied to any single AI model or vendor. We choose the model that best fits the task — and can switch without affecting your processes or deliveries.
Your environment, your terms
Fae works in your existing Azure DevOps or GitHub. No new infrastructure, no new tools. The code is yours and can be maintained by any team.
Isolated client environments
Each client has a completely isolated environment — their own secrets, budget and repos. No shared data between clients.
Independent of us
Everything Fae produces is standard code, standard infrastructure, standard documentation. You can take over or switch vendors at any time without lock-in.
Principles
Human-in-the-loop
Humans direct and review, AI executes. No code reaches production without human approval.
One shared knowledge graph
Decisions, context and history are captured in a knowledge graph shared by every agent and person — and owned by your organization. The longer the collaboration, the more precise the deliveries.
Full traceability
Every change is linked to a work item and a pull request. Complete audit trail throughout the flow.
Budget control
Daily cost limits and transparent reporting. No surprises.
Curious about what agentic AI can do in your organization?
The Fae platform is in closed beta. Join the waitlist — or get in touch and we'll show you how Fae would work in your environment.