Skip to content

Build, Orchestrate and Govern AI Agents

Enterprise AI Agent Hub

Most enterprise AI initiatives stay fragmented. valantic’s Enterprise AI Agent Hub brings scattered pilots together into a secure, scalable platform of coordinated AI agents that operate across systems, functions, and business units.

Colleagues collaborating around a laptop in a dark, neon-lit office

The enterprise platform for AI agents that work together.

Most companies have already run AI experiments. A pilot in customer service, an automation in finance, a prototype in operations. The results are promising enough to continue, but not connected enough to matter. Each initiative runs on its own infrastructure, feeds its own data, and solves its own narrow problem.

That fragmentation is the real obstacle. Not technology, not ambition. The absence of a shared platform that lets AI agents collaborate across systems and business units is what keeps AI from becoming an enterprise capability rather than a collection of projects.

The Enterprise AI Agent Hub is valantic’s platform offering for organizations that want to move past isolated pilots. We consolidate fragmented AI initiatives into a governed, scalable environment where agents with clearly defined roles operate end-to-end, with humans in control of decisions that require judgment.

Where most enterprise AI deployments stall

The same four patterns come up in almost every enterprise. Addressing them is a prerequisite for scaling AI:

Limited orchestration

Systems, workflows, and human tasks are poorly connected. AI solutions remain point tools rather than end-to-end process enablers.

No scalable agent platform

There is no common foundation to develop, deploy, and manage AI agents across business units and regions. Every use case starts from scratch.

Isolated use cases

AI pilots stay siloed, without deep integration into ERP, CRM, ticketing, or core business processes. Value stays local and hard to replicate.

Lack of governance and control

Autonomous agents operate without clear guardrails, monitoring, or auditability. That is a risk for compliance and for trust.

How we help: three steps, one platform

We build the Enterprise AI Agent Hub in three structured steps. Each produces specific deliverables on its own. Together, they take you from a fragmented AI landscape to a coordinated enterprise capability.

01 · Agent Orchestration Platform Setup

A standardized, production-ready foundation for agentic AI with deep ERP, CRM, and ticketing integration.

02 · Multi-Agent Process Automation

AI agents that autonomously handle workflows end-to-end, with human-in-the-loop controls for decisions requiring judgment.

03 · Governance and Monitoring

Built-in guardrails, role-based access, observability, and compliance documentation from day one.

Agent Orchestration Platform Setup

We build a standardized, production-ready foundation for agentic AI in your organization.

  • Integrated agent platform: connect ERP, CRM, ticketing, and custom apps via AI agents that orchestrate cross-system workflows through APIs
  • Standardized, scalable foundation: a repeatable, secure platform architecture enabling fast rollout of new use cases without rebuilding infrastructure each time
  • Plug-and-play system integration: predefined connectors and agent patterns shorten implementation times and reduce risk. Supported systems include Salesforce, SAP, Workday, ServiceNow, and Oracle
  • Cloud-agnostic deployment: on hyperscalers (Azure, AWS, GCP), sovereign clouds, or on-premises, with no vendor lock-in
Businesswoman standing beside a digital network display in an office

Multi-Agent Process Automation

We design and implement AI agents that autonomously handle workflows and execute complex tasks, with humans in the loop where it matters.

  • Use-case driven agent design: we start from concrete business outcomes such as faster case handling or higher first-contact resolution, and build agents on top of your platform
  • Agentic building blocks: pre-built agents, templates, and workflows adapted to your specific processes and systems, accelerating delivery
  • Expandable ecosystem: over time you build a network of reusable connectors and agents, growing your portfolio of AI use cases across departments
  • Human-centric automation: agents handle routine and coordination tasks while employees focus on exceptions, decisions, and customer interactions
Close-up of hands typing on an illuminated keyboard

Governance and Monitoring

We make AI operations controllable, observable, and compliant from the start.

  • Built-in governance and compliance: guardrails, policies, and documentation embedded into the platform, ensuring auditability, transparency, and regulatory compliance
  • Full observability: monitor agent behavior, system interactions, and performance without additional tooling. Identify issues early and optimize continuously
  • Secure and controlled operations: role-based access control, agent isolation, and human-in-the-loop mechanisms ensure safe execution and clear accountability
Man intently monitoring system status dashboard on office screen

valantic’s OneAI Platform is the central orchestration engine. It integrates leading models including OpenAI, Anthropic Claude, and Meta Llama, model-independent and plug-and-play. For highly regulated environments, valantic also offers a Sovereign Agent Framework: 100% open source, 100% sovereign, and vendor-independent.

What you take away

Five concrete results your organization gains from the Enterprise AI Agent Hub:

  1. 1

    Central AI Platform

    A unified hub to build, deploy, and scale AI agents securely and efficiently across the organization.

  2. 2

    Controlled AI Operations

    Guardrails, governance, and human-in-the-loop mechanisms ensure reliable, predictable agent behavior.

  3. 3

    Up to 50% faster processes

    Orchestrated AI agents accelerate workflows and reduce manual effort across departments.

  4. 4

    Seamless enterprise integration

    Deep integration into existing IT and RPA ecosystems preserves previous investments and extends automation coverage.

  5. 5

    Expandable use case ecosystem

    A reusable platform that grows with each new agent, making every additional use case faster and cheaper to deploy.

Proven in practice

The AI-powered customer service platform enables 97% automated pre-classification of incoming emails, supports the pre-processing and automated resolution of customer calls, and ensures 24/7 service availability without increasing headcount.

valantic Enterprise AI Agent Hub streamlines defect capture and ticket creation on site, improves data quality, accelerates workflows, and frees up to 10% more time for specialists to focus on their core tasks.

The AI-powered recommendation system enhances e-commerce through intelligent product suggestions, drives cross-selling with complementary items, and generated over EUR 100,000 in additional revenue within a short period.

See all valantic case studies for more examples across industries.

First step: the Agent Hub Starter Workshop

The right place to start is a focused one-day workshop. We assess your current process and system landscape, identify high-impact AI use cases, and define a clear roadmap for implementing an agentic AI platform.

Pre-workshop questionnaire

Gather insights on existing systems, processes, and pain points across business and IT.

Workshop session

Map current processes and system landscape, identify and prioritize AI use cases (onsite or remote).

Roadmap presentation

Use case and value assessment with actionable next steps and long-term initiatives.

Format: One-day workshop including preparation and follow-up

Investment: EUR 10,000

Start your AI journey with valantic

Further AI insights

Whitepaper: AI Governance

Download

Managing AI: How to build up a futureproof AI governance

AI governance is key to creating a strong foundation for future competitiveness, enabling responsible adoption and scalable innovation. This whitepaper presents a practical, future-proof approach to integrating AI governance into existing processes, roles and tools, following valantic's principle of "no new governance".

Download Managing AI: How to build up a futureproof AI governance
valantic Digital Excellence Outlook 2026: AI at Scale

Study

Digital Excellence Outlook 2026 - AI at Scale

The new study "Digital Excellence Outlook 2026: AI at Scale" shows how companies can strategically anchor AI and use it sustainably.

Learn more Learn more
Claude logo

Service

Claude implementation for enterprises

valantic accompanies SMEs and corporations through every step of the Claude implementation. Regardless of whether you are just exploring the first use cases or planning company-wide scaling.

Learn more Learn more
AWS Sovereign Cloud Mock-up

Press

New valantic study: Sovereign hypercloud

Combining the performance of international hyperscalers with central sovereignty criteria: This is a strategic goal that many companies in Germany are currently pursuing. They want to expand their IT infrastructure in Europe and thus become…

Learn more New valantic study: Sovereign hypercloud
Business team working on a laptop computer. Three people are wearing casual clothing. They are standing in a board room. Multi ethnic group with Cauc and o men and women

Blog · May 28, 2026

How AI agents solve business problems

At the DSAG Technology Days 2026 in Hamburg, innovation was not just discussed but actively developed: Together with valantic, DSAG organized a hackathon where seven teams of students and young professionals presented their ideas for AI agents.

Learn more How AI agents solve business problems
valantic White Paper: Applied AI Guide

White paper

Applied AI – Achieving business benefits with the right use cases

This white paper provides you with a practical guide that takes you concisely from ideation to a successful AI use case.

Learn more Learn more

Ready to build your AI agent platform?

Fragmented AI is expensive. It consumes budget, talent, and credibility without producing enterprise-wide results. The Enterprise AI Agent Hub is for organizations that are ready to move from isolated experiments to a coordinated AI capability that holds up at scale.

Markus Eisel, Managing Director, Division Smart Industries

Dr. Markus Eisel

Partner & Managing Director

valantic

Fabian Schepp Manager valantic

Fabian Schepp

Manager

valantic