Nexus is the governing body for the AI agents your teams use.
It deploys agents and tools to each team, defines how they are built and what roles they play, and holds all of them to the same rules. It works with multiple model providers, caps cost per team and records every execution.
Nexus
Identity, permissions, routing, cost accounting and audit for every AI agent in the company.
Every request from a team passes through Nexus before it reaches a model.
Agents & tools in the field
Agents and tools deployed to each team, executing its tasks and processes day to day.
Skills, tools & agent roles
Where skills and tools are built and each agent role is defined, versioned in Git.
Protocols, rules & guardrails
The rules that limit what a team's agents may do, checked on every run.
Reduces cost
Centralizes development
Deploys on day one







What goes wrong when each team adopts AI on its own.
Without a shared standard, each team builds its own setup. Four problems follow.
Fragmented adoption
Every team sources, configures and connects its own agents — no shared standard, no central view of what is running.
Unpredictable cost
Model calls multiply across teams, and no one can say how much the company is spending on AI.
Uncontrolled data
Sensitive information flows through agents no one reviewed, with no rule on what may reach a model.
Zero traceability
When something goes wrong, no record says which agent, which model and which data drove the decision.
What changes with a governing body in place.
- Each team picks its own agents, tools and models
- Whoever builds an agent also decides what it may do
- Cost is discovered on the invoice, not before it
- No one knows exactly what each agent can reach
- Every team receives its agents from one central place
- Building an agent and bounding it are separate jobs
- Cost is capped and visible per team, in real time
- Every execution is logged and can be audited afterwards
How Nexus is organised: three branches.
Nexus separates who executes, who defines and who enforces. Each branch has its own scope, and none of them can override the other two.
Agents and tools in the field
The branch that gets things done. The agents and tools Nexus deploys to each team to execute its tasks and processes day to day — through chat, Slack, workflows and webhooks, on whichever model fits the job.
Skills, tools and agent roles
The branch that defines what exists. Skills and tools are developed once, each agent role is defined with a clear mandate, and everything is versioned in Git and shipped through CI.
Protocols, rules and guardrails
The branch that holds the other two to account. The protocols and guardrails that set the limits for every team's agents, checked on every run — with spend caps and a full audit trail.
What Nexus does.
Nexus is one entry point for every AI agent in the company. Access, cost, security and history are managed in one place, across multiple models, connectors and skills.
Deploys
ExecutiveEvery team gets the agents and tools it needs, through the channels it already uses: chat, Slack, workflows, webhooks.
Executes
ExecutiveIsolated, ephemeral workers run the day-to-day tasks and processes, across any provider, on a single bill.
Builds
LegislativeSkills, tools and MCPs are created once, versioned in Git and shipped through CI to every team at once.
Defines roles
LegislativeWhat each agent is, what it may touch and which models it may call — written down before it ever runs.
Enforces
JudicialGuardrails, sensitive-data checks and spend caps validate every execution against the company's protocols.
Audits
JudicialEvery action of every agent is recorded, with a full, searchable history for whoever needs to ask.
Talk to us about running Nexus at your company.
We will go through how Nexus fits your teams, your models and your rules, and what it takes to put it in production.
$ guardrails · audit trail · per-team cost caps · multiple model providers
or write to contact@diodorus.io
