MANY AGENTSONE CONTEXTFULL CONTROL
GUST-AI is the coordination and control platform that turns fragmented enterprise information into one unified organizational context for specialist agents.
One layer underneath every agent you run.
GUST-AI coordinates your agents across every system the numbers live in, keeps them aligned as things change, and keeps the trail as it works.
- [01]
Token ROI
Know what every agent costs — and what it did. Shared context ends the re-fetching, so you pay for outcomes, not repetition.
- [02]
Regulatory compliance
Every action traceable to the context, the policy and the person behind it — the record auditors and the EU AI Act ask for.
- [03]
User control
Agents propose, people decide. Owners assess, approve and sign off — nothing changes without them.
Somewhere in your company, five AI agents in different AI systems are doing the same task. None of them will ever find out.
Sales has its agents. So does Marketing. So do Finance, Support and IT. The problem isn't the models — it's organizational misalignment. Every island re-fetches the same policy, burns the same tokens and drifts from the same truth.
- TodayMany tools. Many contexts. No oversight.
- With GUST-AIOne organization. One evolving context. Many specialized agents. One engineered system.
Coordinate and control. Don't replace.
GUST-AI sits above the AI you already run — weaving MCP and A2A through its core capabilities so every agent, model and person works from the same current state.
- [01]
No vendor lock-in
Model, framework and hyper-scaler neutral — combine and switch at execution level.
- [02]
One organizational context
All data and policies abstracted and unified into a single internal environment: the Scope Constellation.
- [03]
Specialist agents, on demand
Create specialist agents directly from organizational context. You assess and approve.
- [04]
Realtime change propagation
Agents operate from current state, live policies, temporary constraints and decision history. Not a static ontology.
- [05]
Unit cost insight
Optimize token use and AI ROI against business outcomes — per agent, per workflow, per decision.
Enter GUST-AI.
Everyone who acts on organizational knowledge is a Participant — and every Participant works inside the same Scope Constellation.
- [ HUMAN ]
People
Owners, reviewers and operators who decide, approve and sign off.
- [ NATIVE ]
GUST agents
Specialists generated from your context, scoped to exactly what they need.
- [ A2A ]
Remote agents
The agents you already run elsewhere, coordinated over A2A and MCP.
A release changes an approval. Everything that depends on it follows.
- 01
Find
GUST-AI finds every document, workflow and agent that depends on the change.
- 02
Draft
Specialist agents draft the updates — training decks, SOPs, help-desk articles.
- 03
Approve
Each update is routed to its business owner for review and approval.
- 04
Record
A record is kept of what changed, why, and who signed off.
The business owners still decide.
Where fragmented AI breaks — and how one context fixes it.
Scenarios GUST-AI is built for, taken from the work its pilots do every day.
- [01]
Five agents, one task
Agents in different AI systems quietly do the same work. One shared context makes the overlap visible and coordinates it.
- [02]
Rules that drift apart
Marketing, engineering and finance agents run on different rule sets that contradict each other. One context keeps them aligned.
- [03]
The same policy, fetched again
Every agent re-reads the same pricing policy and customer record. Read once, shared everywhere — and the token bill shows it.
- [04]
Knowledge that stays current
When a release changes an approval, the training decks, SOPs and help-desk articles that depend on it are updated — with owner sign-off.
- [05]
An audit that holds up
Show what each agent did, with which context, under which policy, and who approved it — across every system at once.
- [06]
Keep the agents you have
Remote agents join over A2A and tools over MCP. Nothing is ripped out; everything is coordinated and controlled.
You know what your agents cost. Do you know what they did?
Agents re-fetch the same pricing policy, the same customer record, the same rules — again and again. Stop the re-fetching and you're not shaving a percentage off a bill. You're changing the unit economics of enterprise AI.
- 5×Projected rise in inference cost per agentic workflow through 2028 (Gartner)
- 9+Core capabilities, with MCP and A2A woven throughout
- 4Pilots live — one Deloitte Fast 50 company already shipping faster
- 0Vendor lock-in. Any model, any framework, any cloud
For the people who answer for enterprise AI.
- CIO
One governed context
All data and policies unified in one environment, across every AI system — model, framework and hyper-scaler neutral.
OutcomeNo vendor lock-in - CTO
Coordinate, don't rebuild
Bring the agents you already run over A2A and MCP, and generate specialists straight from organizational context.
OutcomeAgents in production - COO
Change that propagates
Workflows, SOPs and agents follow the current state of the business — live policies, temporary constraints, decision history.
OutcomeOperations that stay aligned - CFO
Unit-cost insight
Token use and AI spend per agent, per workflow, per decision — measured against business outcomes.
OutcomeToken-ROI you can prove
You cannot supervise what you cannot see.
Every agent action is traceable to the context it used, the policy it followed and the person who approved it — the audit trail enterprise AI governance and the EU AI Act ask for, built in rather than bolted on.
- EU AI Act traceability
- Full decision history
- Owner approval flows
- Per-agent audit trail
- Agentic AI
- AI orchestration
- Multi-agent systems
- MCP
- A2A
- Scope graph
- EU AI Act
- AI audit
- Token-ROI
- Enterprise AI governance
Questions, answered.
What is GUST-AI?
GUST-AI is an enterprise coordination and control platform for AI agents. It turns fragmented enterprise information into one unified organizational context that every specialist agent works from.
Does GUST-AI replace our existing AI agents?
No. GUST-AI coordinates and controls the agents and AI systems you already run. Remote agents take part over A2A, tools connect over MCP, and nothing has to be replaced.
Which models, frameworks and clouds does it work with?
GUST-AI is model, framework and hyper-scaler neutral. You can combine and switch them at execution level, so there is no vendor lock-in.
What is a Scope Constellation?
A Scope Constellation is the living organizational knowledge environment at the heart of GUST-AI: all data and policies abstracted and unified, kept current, and shared by every participant — people, GUST agents and remote agents.
What does Token-ROI mean?
Token-ROI is not just token cost. It is knowing what your agents cost and what they did for the business. Because agents share one context, they stop re-fetching the same information again and again.
How does GUST-AI support the EU AI Act?
Every agent action is traceable to the context it used, the policy it followed and the person who approved it. GUST-AI keeps a record of what changed, why, and who signed off — the audit trail AI governance asks for.
Is GUST-AI available today?
Yes. The GUST-AI alpha is live and four pilots are running, including one Deloitte Fast 50 company. You can book a pilot with the team.
Who is behind GUST-AI?
GUST-AI is built by SlimCloud BV, founded in 2020 and based in Amsterdam, with locations in Alkmaar and Helsinki.
Do not replace your AI agents.Coordinate them.
Four pilots are live. Talk to the team in Amsterdam about running GUST‑AI on your own organizational context.