AgentForge

Employees in most enterprises already build useful AI tools with Copilot, Claude or ChatGPT. Most of those tools never leave their creator's laptop: no owner, no cost tracking, no security review. Meanwhile, Data & AI teams face a queue of loosely defined business requests, and many prototypes stall before production.

The EU AI Act adds a third pressure: IT leaders must be able to say which AI runs where, and with which data. AgentForge is how Sia closes that gap. It is the platform Sia runs internally: teams describe an app in plain language, generative AI builds it, and the company shares it within a framework IT sets once.

AgentForge covers the full life of an AI app, from first build to testing, sharing, production and evolution. The platform handles hosting, authentication, access management, storage and the app catalog, so builders focus on the use case, not on infrastructure.

• App Factory. Describe the app in plain language and get a working application, with real code stored in your own Git. Apps can include databases, back ends, and API or MCP connectors, so a prototype is never a dead end.
• App Marketplace. Publish once: every team finds the app in the catalog and can launch its own copy.
• Agent Registry. Every agent on record, with its owner, access rights and risk level, feeding your EU AI Act inventory and your ISO 42001 approach.
• Control Tower. Usage, cost and quality in one view, with a stop button on every app and agent.
• Your perimeter. Runs in your cloud (AWS, Azure, GCP or on-premise), inside your VPC, behind your SSO, with the models you approve: Claude, GPT, Gemini or open source. You own the platform, the code and the apps, with no seat licence.
• Guardrails by design. Validated connectors only, a capped budget per app, review before publication, and guest access for customers or partners reviewed before it opens. Intelligent model routing keeps token spend under control.
• Works with your coding assistants. Teams can develop with Claude Code or similar tools, then publish and govern the app on AgentForge.

What it looks like in practice. A telecom retention team, working on fictional data, pastes raw customer feedback and asks AgentForge to sort each comment into price, network, service or other, and count them. Minutes later, it has a working app with counts per theme, an editable table and a CSV export. One more sentence adds a churn-risk flag on every comment. About ten minutes from need to first usable version, with no code written.

Sia is client zero. Our consultants build the agents they use every day on AgentForge, share them across the group through the catalog, and run them from a control tower tracking ROI, governance and security. Process Reinvention Studio, Contract Intelligence Agent and the AI Agents Control Tower were all built this way.

Three ways to start, each proving the next. A one-day Seminar, where each team leaves with a working app and a ranked backlog of processes. A 4 to 6 week Pilot Sprint, with 2 to 3 apps in daily use and the business case to scale. A Company rollout, 6 to 8 weeks to production, with SSO, Agent Registry and Control Tower open to every team.

AgentForge answers the question IT leaders keep asking: how do we let every team build with AI without losing control? It turns scattered AI experiments into a governed portfolio of apps the whole company can use.