AI agents are ready to take over tasks completely. Is your company ready to entrust them with these tasks?
With COLOSSOS® you can delegate tasks in existing enterprise systems to AI agents responsibly. Risks are modelled, governance and compliance are enforced for every action, and all decisions remain fully traceable.
View demoChallenges
The challenge is not what AI agents can do – but what companies must be accountable for.
Even when AI agents carry out tasks autonomously, responsibility for processes and outcomes remains with the company. For this delegation to work, rules, permissions and decision-making authority must be modelled in a way that agents can apply — and that can be enforced technically.
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Company rules are not modelled for agents
Policies, permissions and decision boundaries exist – but usually not in a form that can be applied to individual agent actions and enforced technically.
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Existing systems are not designed for autonomous access
APIs and interfaces provide access to data and business processes, but do not describe under which conditions an agent may perform which action.
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Process knowledge is not abstracted for agents
Rules, exceptions and decision logic are embedded in existing processes and systems – but not in a form that AI agents can interpret reliably across systems.
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Approvals and escalations are not mapped for agent use
Many decisions still require human approval. What is missing is the technical and organisational integration of these approvals into autonomous process flows.
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Governance does not scale automatically
As the number of agents, processes and actions grows, so does the governance effort. Manual controls and case-by-case reviews do not scale with it.
This gap becomes particularly visible in clarification cases.
Clarification cases are transactions that leave the standard process and therefore have to be actively resolved. Information is missing or contradictory, exceptions have to be assessed, decisions escalated.
Agentic AI can process such clarification cases end to end for the first time. But for companies to entrust it with these tasks, the right governance is required.
How it works
Let AI agents act. But by your rules.
COLOSSOS® is the Governed Access Layer between AI agents and your existing enterprise systems. Every action is checked against policies, permissions and approval rules; modelled risks feed into the decision. Only permissible actions are executed – and every request, every decision and every execution is logged completely and remains traceable.
An AI agent is assigned the task of processing a customer cancellation. Before actions are executed in connected enterprise systems, COLOSSOS® checks policies and permissions, involves human approval where required, and records execution in an audit trail. The same task results in four individual actions with different outcomes: changing the billing status in the billing system is allowed; issuing a refund in the payment system requires human approval; terminating the customer contract in the CRM is allowed; and deleting the customer account from the customer database is blocked. The diagram illustrates how COLOSSOS® controls an AI agent’s scope of action at the level of individual actions.
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1. Request access
The AI agent requests access to an enterprise resource or the execution of an action via COLOSSOS®.
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2. Apply rules
COLOSSOS® checks policies, permissions and risk context and decides: allowed, approval required or blocked.
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3. Obtain approval
If required, the action is escalated to a human for approval.
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4. Execute under control
Permitted or approved actions are executed in the target system and logged completely.
SOLUTION
Your rules become clear decisions.
COLOSSOS® evaluates every requested action against your policies, permissions and the modelled process knowledge — before it is carried out.
The COLOSSOS® governance view shows how governed tools are classified by risk and linked to specific governance rules. For each tool, the view displays information including risk tier, governance policy, operational status, type, scope, approvers, and attestation status. The displayed tools have different governance policies: actions can be allowed, require approval before execution, or be denied. An additional panel shows the underlying classification rules and their priority. These rules determine which governance controls apply to individual tools and actions.
Every agent action receives one unambiguous decision:
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Allow
The action matches the defined rules and can be carried out automatically.
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Approval required
Under your rules the action requires human approval.
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Deny
Under the given conditions the action is not permitted and is blocked.
Architecture
Your systems stay in place. COLOSSOS® complements your architecture.
COLOSSOS® builds on your existing system landscape. Existing APIs are made agentically accessible via MCP and abstracted into clearly defined actions – without having to replace or redevelop core systems.
- Existing systems stay in place
- APIs become agentically accessible
- Governance stays central
- Agents and models remain interchangeable
The COLOSSOS® MCP Tools view shows registered tools with their lifecycle status and governance configuration. For each tool, the view displays information including risk tier, governance policy, operational status, type, scope, and attestation status. The displayed tools are assigned different risk tiers and can be allowed or denied through governance policies. On the right, a form shows how a new composite tool can be created with a unique name and description before being assigned to an MCP server.
Every action follows exactly your rules.
Governance is applied where agents actually act. For every action, policies, permissions, risk classes and approvals can be defined – regardless of which agent or model requests it.
TRANSPARENCY
Every action remains traceable.
COLOSSOS® logs requests, decisions, applied rules, approvals and executions completely. In the central dashboard you can see at any time what was executed, why a decision was made and where action is needed.
Dashboard
- System Health
- Governance Status
- Pending Approvals
- Audit Trail
Compliance
Your rules stay in place. Even when agents, models or systems change.
COLOSSOS® decouples your governance model from the executing agent layer and the connected enterprise systems.
Governance inside individual platforms & integrations
- Governance inside individual platforms & integrations
- Rules are tied to specific agent platforms or integrations
- WITH COLOSSOS®
- One central governance model across all agents and systems
- Governance inside individual platforms & integrations
- When an agent, model or platform changes, rules have to be modelled again
- WITH COLOSSOS®
- Policies, risk models and approval logic stay in place
- Governance inside individual platforms & integrations
- Changes in enterprise systems affect the governance logic directly
- WITH COLOSSOS®
- System integration and governance stay decoupled
- Governance inside individual platforms & integrations
- New agents or systems create additional governance silos
- WITH COLOSSOS®
- Existing rules can be transferred to new agents and systems
- Governance inside individual platforms & integrations
- Audit and control information is spread across several platforms
- WITH COLOSSOS®
- Decisions and actions stay centrally traceable
- Governance inside individual platforms & integrations
- Governance grows with every individual technical solution
- WITH COLOSSOS®
- One governance layer scales across the entire agent and system landscape
One governance model. Independent of agents, platforms and systems.
Your rules, risk models and approvals stay in place – even when your technical landscape changes.
Not yet sure how to put agentic AI into production?
In the PoC-to-Production Sprint we create clarity within 45 days about suitable clarification cases, technical prerequisites and the open governance, risk and compliance questions. You receive a robust assessment of where you stand and a concrete path into productive use.
Ready to put agentic AI into production?
Let us talk about the clarification cases you want to hand over to AI agents – and about how COLOSSOS enables governance, compliance and controlled execution in your existing system landscape.
Frequently asked questions
What companies want to know before going into production.
Answers to the most frequent questions about COLOSSOS®, governance, integration and the use of agentic AI.
1. Is COLOSSOS® an agent platform?
No. COLOSSOS® replaces neither your existing systems nor your agent platforms. It sits between them as a governance layer.
2. Do we need new systems?
No. COLOSSOS® is integrated into your existing system landscape. ERP, CRM, DMS and line-of-business applications remain in place.
3. Which AI models and agents are supported?
COLOSSOS® works independently of the model. You can combine models and agent frameworks and exchange them later.
4. How does governance work?
COLOSSOS® checks every agent action against the rules defined by your organisation — before it is carried out.
5. Do you also support us with the rollout?
Yes. COLOSSOS® is more than a platform. Together we identify the first clarification case and take it into production.
6. How long does introducing COLOSSOS® take?
The duration depends on your existing system landscape and the selected clarification case.
Next steps
Ready for the next step?
Let us talk about how COLOSSOS® can be used in your existing system landscape.