AgentHouse Policy Manager
A solution to dynamically describe, manage and enforce compliance and governance of your enterprise, by leveraging AI-supported policy management.
AI Team Members · No AI Project Required
AgentHouse Business Agents
Expert roles – ready to use in your project.
We make AI immediately usable for your business with ready-to-use agents that work directly in your systems, collaborate across systems with your teams, take on tasks, and create measurable value.
Go‑Live in < 1 Week
Roles instead of Tools
Transparent ROI Report
Context maintenance by us
Hosted in Germany
GDPR compliant
EU AI Models
Result logic: Base fee (operation) + Result fee (e.g., share of saved PMO/BA time).
Why AgentHouse – and not "just an AI tool"?
Many teams fail not at the idea of "AI", but at Setup, Context, Governance and Quality. AgentHouse is a Managed Service: We deliver the roles, integrations and operations – so your team gets results.
Role-based Outputs
We think in project roles and artifacts (Story, Risk, Status, Documentation) – not in "Prompts".
Result-oriented, auditable, team-friendly.Integration into Your Tool Chain
Teams/Slack/Email as interface, Jira/Confluence as system-of-record – the agent sits where work happens.
No need to force a new work interface.Managed Operation & Quality
Context maintenance, guardrails, quality checks and ROI reports come from us – not "on the side" from the project team.
Secure, plannable, repeatable.What makes the AgentHouse platform special
Designed for Agentic Orchestration in the enterprise: highly flexible, with multiple security layers, service-oriented and extensible.
Less manual work, more control. Whether you want to improve one process first or automate entire workflows – AgentHouse scales with your business goals. You keep control, have full traceability, and build on your existing IT.
AgentHouse differs from specialized assistant systems for narrow use cases and from chat-only or personal agent systems.
Fine-grained access control (ACLs)
Access Control Lists provide per-project, precise rules by principal, tool and method. Default-deny with explicit allow/deny gives you control over every action – essential for compliance and multi-tenant operation.
Human-in-the-Loop (HITL)
Human feedback loops are built in: approvals, free-form replies and predefined choices. When automated verification is exhausted, management escalation kicks in – for maximum safety and traceability.
Scoped Memory
Key insights from execution automatically improve the system. Per-project, per-agent long-term memory is maintained – verification-driven, with an LLM gate and curation, no PII – for continuous learning in enterprise use.
Observability & Logs
Task-centric execution, verification and observers enable continuous optimisation and full traceability. Logs and analysis support ongoing improvement and audit requirements.
Agentic Applications
We close media breaks across systems – from bridging a single interface gap to running full native AI-driven processes. Without questioning the value of best-of-breed software; migration and integration scenarios are actively supported.
How AgentHouse compares
| AgentHouse | Typical alternatives | |
|---|---|---|
| Flexibility | From one process to full process automation; service-oriented and extensible. | Often limited to one use case or chat-only. |
| Integrability | Builds on existing IT; connects to Jira, Confluence, email, etc.; no big-bang replacement. | Often siloed or accessible only through proprietary interfaces. |
| Safety | Killswitch, Human-in-the-Loop, management escalation, project isolation. | Often no formal escalation or central emergency stop. |
| Guardrails | ACLs per principal, tool and method; default-deny; human approval where required. | Often channel- or model-level only; little fine-grained control. |
| Access to enterprise data | Project-scoped, semantic search; controlled via ACLs; integration with systems of record. | Often limited or ad hoc; little connection to existing data sources. |
| Observability | Task-centric logs, verification, observers; full traceability and audit. | Often conversation-level only; little visibility into tasks or processes. |
Agentic Applications
Solutions for a relevant, agentic foundation of an enterprise.
AgentHouse Decision Manager
Request decisions – for agents and humans that want to improve transparency and policy enforcement. Can auto-approve decisions based on policies or request decision from stakeholders and record the outcome in an auditable way.
AgentHouse Adaptive Interfaces
Information at the right time, with the right level of detail. Our Adaptive Interfaces enable you to interact efficiently with any subject matter.
AgentHouse Voice Solutions
Integrated voice solutions as part of our consultancy approach. We support enterprises in describing business-cases, use-cases and choosing the right solution. An integrated demo can be tested out.
Enter the demo password to test out an agent
AgentHouse Strategy Simulator
Model how the future could unfold from a starting premise. Build probabilistic scenario graphs, adjust probabilities, and explore possible outcomes – interactively and AI-assisted.
Learn more ...How the agent becomes part of your team
Start quickly, then continuously improve. We build a reliable output machine – not a demo.
Step 1
30‑Minute Initial Consultation
We clarify tool landscape, project setup and 1–2 concrete outputs that should have immediate effect.
Step 2
Setup & Output Catalog
Integrations + Output Definition + Reference Times (how long does a human need?) as basis for ROI.
Step 3
Go‑Live & Training
Your team uses the agent like colleagues – in everyday life, directly in Teams/Slack/Email.
Step 4
Fine-tuning & ROI Report
We maintain context, check quality and deliver monthly impact/time savings reports.
Let us bring your first agent live in 1 week
You give us 1–2 concrete use cases. We deliver setup, integrations, role logic and operations. After that, you have a clear ROI view – and a project team with additional capacity.
30‑Minute Initial Consultation – free & non-binding.
We check together:
- which 3–5 outputs have immediate effect for you (Stories, Risks, Documentation …),
- which data sources we connect (Jira, Confluence, Mails, Transcripts …),
- which pricing model fits (see Pricing).