The AI Agent Factory
The line every agent passes.
A factory is a repeatable line. Here is how an idea becomes an agent that is tested, approved, released and operated.
One brand, three layers
Novaeon Studio — The AI Agent Factory.
A factory, not an agency: a repeatable line that turns a business process into an agent that is tested, approved, released and operated — the same way every time.
- L1
What we are
The AI Agent Factory
A production line for agents. Every agent we ship passes the same stations: process analysis, skill design, eval baseline, guardrails, human sign-off, release, monitoring. That repeatability is the product — it is what makes each subsequent agent faster and safer to ship.
- Same stations for every agent
- Reusable skills and connectors
- Evidence at every gate
- L2
What we do with you
AI Agent Consulting & Engineering
Advice and hands-on build in one engagement. We find where an agent pays off and where a plain workflow is the better answer, design the architecture, and then build it: agents, skills, MCP servers, integrations into ERP, CRM and documents — on cloud or fully private models.
- Audit & business case
- Architecture & build
- Cloud or on-premise models
- L3
Agent Ops · Release management · SAP
Where enterprise agents get built, released and run
The part most teams skip. Agents get an inventory, versions, a fixed eval gate, risk rating, approval and rollback — the discipline of SAP change and release management, applied to AI. Including SAP itself: Joule readiness, Joule Studio and pro-code agents.
- ChaRM for AI agents
- SAP agents & Joule
- Operations & retainer
How an agent ships
Idea → Agent → Release → Run.
The same path every time. Nothing reaches production on enthusiasm alone.
- 01
Idea
Pick the process where an agent pays off. Map inputs, decisions, risks and owners — and decide where a plain workflow is the better answer.
- 02
Agent
Build the agent and its skills: tool contracts, guardrails, prompt-injection tests, eval scenarios and the human approval step.
- 03
Release
Promote it like software: versioned, tested against a fixed baseline, risk-rated, approved, traceable — and reversible.
- 04
Run
Watch quality, cost per action and drift in production. Improve on a release cadence, not by hot-fixing prompts.
AI release management
ChaRM for AI agents.
An agent changes behaviour when its prompt, model, tools or data change. In a well-run SAP landscape nothing reaches production without a transport, a test and an approval. Agents deserve the same discipline — because unlike a report, an agent acts.
- Eval gate
- Risk rating
- Approval
- Rollback ready
Illustration
Inventory & lifecycle
Every agent, model, skill and MCP server registered, owned and versioned. You always know what runs where.
Quality gates
A fixed eval baseline, prompt-injection and tool tests before promotion. A model swap is a release, not a setting.
Risk & compliance
Risk rating per agent, EU AI Act classification, documentation a German works council can review.
Observability & rollback
Traces per session, cost per action, and a known-good release to return to.
On SAP Cloud ALM and AI Agent Hub — or on your own Git-based pipeline.
SAP agents & Joule
SAP agents — from Joule Studio to pro-code.
Joule is becoming SAP’s front door for AI: skills, agents and role-based assistants across the SAP cloud portfolio. Getting there runs through BTP, identity, clean core and licensing — in the right order. That is landscape work. It is what we come from.
Joule readiness & activation check
BTP, Cloud Connector, Cloud Identity Services, formations, prerequisites and AI-unit entitlements — checked against your landscape, with a defect list and a path for on-premise and hybrid systems.
Your first SAP agent
One human-in-the-loop agent in Joule Studio or pro-code via A2A — with an eval harness and a governance record from day one.
AI-ready core
Custom code, extension strategy, upgrade cadence and a regression strategy that includes agents. Clean core is what makes agents work.
AI for SAP operations
Agents for Basis and ALM work: monitoring triage, transport risk checks, runbook Q&A — optionally on local models.
Knowledge — researched and prepared, not yet a delivered reference
- Joule Studio
- SAP BTP
- Generative AI Hub
- SAP Cloud ALM
- AI Agent Hub
- A2A
- MCP
- Cloud Identity Services
Where agents pay off
Agent patterns we build.
Illustrative patterns — not client case studies.
Transport risk check
Reads transport contents, dependencies and history before import and flags risky sequences for the release manager. It proposes; a human approves.
Monitoring triage
Groups alerts, explains the likely cause from your runbooks and opens a ticket with context. People decide what happens next.
Runbook Q&A on a private model
Operations knowledge searchable in plain language — without the data leaving your infrastructure.
Requirements to backlog
Turns workshop notes into structured user stories with acceptance criteria, ready for your ALM tool.
Back-office intake
Reads incoming documents, extracts and validates data against the ERP, and routes exceptions to the right person.
Release notes & audit trail
Collects what changed, who approved it and which tests ran — and writes release documentation people actually read.
How we work
Audit. Build. Run.
A limited number of engagements at a time, each one in depth.
- 01
Audit
We map processes, systems and data, rate where an agent pays off and where it is a risk, and check your landscape’s readiness. You get a ranked agent backlog with a business case and a release-governance baseline.
- 02
Build
One agent at a time, into production: skills, integrations, evals, guardrails and documentation — released through quality gates, with your team in the loop.
- 03
Run (retainer)
We operate, monitor and improve your agents on a release cadence: new skills, model updates, cost control, audits. Your agents evolve with your business.
Put your first agent into production. Properly.
Tell us about the process, the stack and the constraints. We come to the first call prepared.
Or write to us: office@novaeon.studio