Agentic Layer · Enterprise Orchestration

# AgentHouse  
More time for value-creating work 

Orchestration across every system.

We empower organizations to create new business value by connecting strategy, organization, and technology in an integrated approach — enabling AI adoption in a purposeful and targeted way. **Ready-to-use Business Agents** automate complex and time-intensive tasks, save time and resources, relieve your teams in day-to-day work, and deliver measurable value.

Go‑Live in < 1 Week

Governance & guardrails

Transparent ROI Report

Context maintenance by us

Hosted in Germany 

GDPR compliant 

EU AI Models 

[Book 30‑Minute Initial Consultation →](https://outlook.office365.com/book/NUNCConsultingGmbHBookingCalendar@nunc-it.com/?ismsaljsauthenabled=true) [View Pricing Models](/en/pricing/) 

Result logic: **Base fee (operation)** \+ **Result fee** (e.g., share of saved time or value created).

Building Blocks

* **Plugs into your IT:** Jira, Confluence, Mail, CRM — no big bang. [Platform](#platform)
* **Policy & guardrails:** ACLs, human-in-the-loop, management escalation. [Security](#platform)
* **Agentic applications:** Policy Manager, Decision Manager, Adaptive Interfaces. [Solutions](#solutions)
* **Roles & ROI:** expert roles as a service — measurable and operated. [Expert roles](#rollen)

Where approaches create value

Transformative

Organisational

AgentHouse 

RPA 

BPM 

Low-Code 

Assistants 

Chatbots 

AI Strategy 

Training 

Transformation Model

## AgentHouse - Transformation model towards AI-native organisations

From strategy to managed operation: a clear roadmap towards AI-native organisations.

```mermaid
timeline
    title AgentHouse - Transformation model towards AI-native organisations

    Strategy
        : AI-native target picture
        : Operating model
        : Roadmap

    Enablement
        : Leadership enablement
        : Team coaching
        : Role model

    Agentic Teams
        : First agent roles
        : Human + agent collaboration
        : Pilot domains

    Agentic Applications
        : Custom agent UIs
        : Decision interfaces
        : Automated workflows

    Agentic Data Layer
        : Data integration
        : Context model
        : Relevant data points

    Managed Operation
        : Operation
        : Optimization
        : Continuous improvement
```

**Transformation model phases**

* Strategy
* Enablement
* Agentic Teams
* Agentic Applications
* Agentic Data Layer
* Managed Operation

## 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. 

**Your job:** Use the agents where they add value. **Ours:** Setup, operations, context, and quality — so AI takes work off your plate, not just replies.

## What the Agentic Operating System means

From human-centered steering to an integrated data foundation — five layers that work as one.

1. 1  
### Agentic Management  
Individualized agentic UIs for focused, human-augmented enterprise steering — **User Owned UIs (UOUI)**: dynamic, context-aware, and user-controlled.
2. 2  
### Agentic Teams  
Agents work alongside empowered people — clear roles, ownership, and transparency. That collaboration is orchestrated end-to-end across teams and systems: traceable handoffs, measurable KPIs, and human-in-the-loop wherever humans must decide — not one-off automations.
3. 3  
### Agentic Applications  
Modular capabilities on the OS — e.g. policy, decision, and domain apps: governance- and audit-ready end to end, API- and role-based, instead of siloed tools.
4. 4  
### Agentic Integration  
Break data silos through smart enrichment and semantic linking across CRM, ERP, tickets, and more — one coherent view of entities and events across systems.
5. 5  
### Agentic Data Layer  
Not reinventing the wheel, but giving it grease: making data discoverable and usable in the Agentic Operating System by smartly selecting main records and redundancies.

## 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. |

Built for the enterprise: task-centric, auditable, extensible.

## Agentic Applications

Solutions for a relevant, agentic foundation of an enterprise.

### AgentHouse Policy Manager

A solution to dynamically describe, manage and enforce compliance and governance of your enterprise, by leveraging AI-supported policy management.

### 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

Start demo 

### 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 ...](/en/strategysimulator/) 

### AgentHouse CRM Teamroom

The next most important opportunity: next best action on top of your existing CRM, fully customizable to your desire. Don't consume reports, act on information.

After Policy, Decision, and the other application modules: roles that ship value every day.

## Expert roles and business agents — your virtual team member

The OS modules govern policy, decisions, and interfaces. Here that becomes **concrete role work** in PMO, sales, CRM, and more — with artifacts and ongoing operations, not just chat.

What does this mean concretely?

### You get a "virtual team member".

* **We bring the role:** PMO/BA/documentation/assistant skills with know-how from real projects, tailored to your organization.
* **You use the agent:** via Teams, Slack or Email – like colleagues.
* **The agent produces artifacts:** Stories, Reports, Risks, Documentation.
* **We keep it "sharp":** Context maintenance, Fine-tuning, Quality checks.

User Stories saved

\~30 Min

per Story (typical)

Project Overview

24/7

ongoing Status/Risk Updates

**Important:** The agent retrieves project knowledge from your sources (e.g., Jira, Confluence, transcripts, emails) and continuously creates consistent outputs from it – without your team having to "operate AI".

Next: rollout — from first call to measurable operations.

## How the agent becomes part of your team

Roles and outputs are in place — now onboarding and operations: go live fast, then improve continuously. 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.

For Controlling: **Base fee (operation)** is plannable. The **Result fee** only arises when outputs are delivered.

## 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](/en/pricing)).

Your Name 

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Interest in Please select … PMO Overview Agent PMO BA / User Stories PMO Technical Writer Still unsure – please advise 

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