CISO
There are agents running in production that your security team has never seen.
You can’t protect what you can’t see. Shadow AI compounds every quarter a team ships without telling IT.
Pilot partner program · EU AI Act pack ships at GA
AI agents are running your business.Who’s running them?
EDS is the control plane for AI agent governance: one registry, release gates and an audit trail — across every platform. So you can see, govern and prove what your agents do.
- Agents in production47
- Known to IT12
- With a named owner0
- With an audit trail0
35 agents off the radar100% of the estate governed
Built to integrate with the platforms your teams already use
AWS BedrockGoogle Vertex AIAzure OpenAIMistral AIPrisme.aiDataikuDifyLangGraphCrewAIAutoGenMCP serversvLLMSnowflakeCustom runtimesAWS BedrockGoogle Vertex AIAzure OpenAIMistral AIPrisme.aiDataikuDifyLangGraphCrewAIAutoGenMCP serversvLLMSnowflakeCustom runtimes
- AWS Bedrock
- Google Vertex AI
- Azure OpenAI
- Mistral AI
- Prisme.ai
- Dataiku
- Dify
- LangGraph
- CrewAI
- AutoGen
- MCP servers
- vLLM
- Snowflake
- Custom runtimes
Positioning
What EDS does. What it doesn’t.
EDS is a governance product. It doesn’t replace your agent platforms — or yowe consulting.
EDS does
- A unified agent registry across every platform
- Release gates and an audit trail
- Unit economics and blast radius per agent
EDS does not
- Replace Dify, LangGraph, Bedrock or your runtime
- Build your agents for you (that’s yowe consulting)
- Lock you into one stack or one cloud
The problem
Ungoverned AI agents: what’s keeping leaders up at night.
These are not hypothetical. They are happening now in enterprises that raced AI agents into production without a control plane.
CFO
Your AI bill tripled last quarter. No one can explain which agent caused it.
Token invoices arrive as opaque lines. There is no per-agent, per-business-unit, per-outcome story for the CFO.
Compliance
The EU AI Act audit is in 90 days. You don’t have a registry of which agents touch personal data.
Compliance spreadsheets don’t match reality. Auditors will not accept a binder.
Board
An agent made a decision that harmed a customer. No one knows who’s accountable.
The board wants a name. The regulator wants evidence. You have neither.
CIO
An agent’s behavior changed overnight. No one approved the change. No one knows what changed.
There is no link between source, manifest, and the live artifact. Production drifts silently.
Platform team
Production broke at 3am. The on-call spent four hours figuring out which agent caused it.
No traces, no blast radius, no incident chain. Every incident is a blind investigation.
Root cause
Every one of these has the same root cause.
Agents are running without a control plane.
- No registry
- No owners
- No gates
- No audit trail
EDS exists to close that gap — and the details of how belong in a conversation, not on a webpage.
Vendor-neutral — governs agents from every platformRegulation-ready for EU AI Act, SDAIA & GCC sovereign clouds
Why now
Why AI agent governance can’t wait. Three forces are colliding — without a control plane.
Enterprises that wait until enforcement arrives will be reactive. Those that adopt governance tooling now shape internal controls before regulators arrive.
01
Multi-vendor by default
Teams pick Dify for speed, LangGraph for orchestration, Bedrock or Vertex for managed models. Locking the enterprise into one stack is neither realistic nor desirable.
02
Regulation treats AI as an accountable system
EU AI Act, SDAIA-style processes, and internal risk frameworks expect classification, human oversight, disclosure, and auditability before scale — not as a PowerPoint after an incident.
03
Spend and risk scale non-linearly
Agent fan-out, retrieval over-fetch, idle GPU fleets, and ungoverned tools turn a helpful assistant into a material P&L and security exposure overnight.
What changes
What changes with an agent control plane.
Here’s what life looks like once EDS is in place — six concrete outcomes that turn AI from a pile of experiments into a governable agent estate. Architecture detail belongs in a meeting.
Ambiguous ownership
01Every agent has an owner.
Ship-and-hope releases
02Every release passes a gate.
Opaque token invoices
03Every dollar has a story.
Spreadsheets that don’t match reality
04Every audit has evidence.
Blind incident investigations
05Every incident has a blast radius.
Frameworks without a system of record
06Every regulator gets an answer.
Agents47+6 this week
Calls / day284k+12% 7d
Token spend€8.2k−18% vs forecast
Shadow AI2to review
Agent estate
| Agent | Platform | Status | Calls 7d |
|---|---|---|---|
invoice-matcher-v3 | Bedrock | Active | 12.4k |
claim-classifier-prod | Vertex AI | Active | 8.2k |
support-router-fr | Azure | Review | — |
compliance-check-eu | Mistral | Active | 3.1k |
kpi-reporter-weekly | LangGraph | Active | 412 |
procurement-bot-poc | CrewAI | Shadow | 980 |
Updated 12s ago
The cost of waiting
The cost of waiting to govern your agents.The window closes faster than you think.
Waiting means inheriting more ungoverned agents, more risk, and a more expensive cleanup.
Shadow AI compounds.
Every quarter, more teams ship agents without telling IT. The longer you wait, the harder the cleanup becomes.
Audit deadlines don’t move.
EU AI Act high-risk obligations are coming. Internal risk committees are asking questions now.
Spend scales non-linearly.
One runaway agent can drain a quarter’s AI budget in a weekend. Without per-agent controls, you find out from the invoice.
Incidents become headlines.
The longer agents run ungoverned, the bigger the blast radius when one fails.
EDS exists to make sure you are on the right side of that window. The earlier you start, the smaller the cleanup. The later you start, the bigger the story.
For your role
Every buyer has a question. EDS is the answer.
Bring the question that keeps you up. We’ll show how EDS answers it — in 30 minutes, not a feature tour.
Directors & investors
The question
“Are we in control of AI — and can we prove it?”
EDS: A defensible posture, not a slide deck.
The full answer — with the evidence chain, the architecture, and the regulation-specific mapping — belongs in a conversation.
Book a demoCFO
The question
“Why did AI spend jump — and where do I cut?”
EDS: Unit economics and levers, not opaque invoices.
The full answer — with the evidence chain, the architecture, and the regulation-specific mapping — belongs in a conversation.
Book a demoCIO / Platform owner
The question
“Which agents are running — and on what?”
EDS: One console across every platform your teams already use.
The full answer — with the evidence chain, the architecture, and the regulation-specific mapping — belongs in a conversation.
Book a demoCISO
The question
“Can an agent ship without security ever seeing it?”
EDS: Release gates on the agent registry itself. No more shadow AI.
The full answer — with the evidence chain, the architecture, and the regulation-specific mapping — belongs in a conversation.
Book a demoAI / ML manager
The question
“How do my teams ship fast without losing governance?”
EDS: Fast inside the rails. Intake, evals, and GitOps as product steps.
The full answer — with the evidence chain, the architecture, and the regulation-specific mapping — belongs in a conversation.
Book a demoRisk, Legal & Compliance
The question
“If the regulator walked in tomorrow, could we answer?”
EDS: EU AI Act, SDAIA, internal risk — evidence lives next to each agent.
The full answer — with the evidence chain, the architecture, and the regulation-specific mapping — belongs in a conversation.
Book a demoDeployment
Your platform.You choose where it runs.
Private cloud, on-premise or hybrid now — SaaS coming soon. The control plane stays the same; only the perimeter and data residency change.
Private cloud
Inside your VPC, on the cloud of your choice. Your keys, your region, your network perimeter.
On-premise
In your own datacenters, including air-gapped environments. No data leaves.
Hybrid
Control plane on one side, sensitive data on the other. One governance layer across both.
SaaS
Coming soonOperated by yowe, hosted in an EU region. The fastest way to get started — coming soon.
We pick the model with you, based on your sovereignty and compliance constraints.
FAQ
Frequently asked questions about EDS
Short answers. Detail belongs in the demo.
What is EDS?
EDS (Enterprise Decision Systems) is yowe’s control plane for AI agent governance: one registry, release gates and an audit trail — across every platform your teams already use.
Does EDS replace Dify, LangGraph or Bedrock?
No. EDS governs the agents that run on those platforms. It does not replace your runtime, models or orchestration tools.
Where can EDS be deployed?
Private cloud, on-premise or hybrid now. SaaS is coming soon. The control plane stays the same; only the perimeter and data residency change.
Does EDS help with the EU AI Act?
EDS structures the registry, ownership, controls and evidence needed for auditability requirements. Detailed regulatory mapping belongs in a meeting.
Who is EDS for?
For the leaders and operators who own AI risk: CIO, CISO, CFO, compliance, AI/ML managers, and the board.
Is EDS available today?
EDS is in private preview. You can book a private demo; we reply within one business day.
Pilot partner program
A few seats.To co-build EDS.
EDS is in early access. We onboard a limited number of enterprises to validate the control plane in production — and credit the framing workshop against the pilot if you continue.
- Limited seats — we onboard a few enterprises to co-build the product.
- Paid framing workshop, credited against the pilot if you proceed.
- You shape the roadmap: use cases, connectors, and regulatory evidence.
Request a pilot seat
Limited seats. We reply within one business day.
Become a pilot partner Book a demoEmail yowe