Your organisation is running on AI.
Is anyone governing it?
AI agents, internal platforms, and automated workflows are already changing how your people work. The question is whether that change is happening by design or by accident. We help organisations make it intentional.
The tools are running. The governance isn't.
AI is already inside your organisation.
Employees are using AI tools, agents are automating workflows, and internal platforms are making decisions that affect people's work, performance, and careers. Most of this happened faster than any governance framework could keep up with.
The risks are not technical. They are human and organisational.
When employees do not understand what an AI agent is doing, they either over-rely on it or avoid it entirely. When managers cannot audit AI-assisted decisions, they cannot be accountable for them. When HR systems use AI without clear governance, organisations face legal exposure they did not know they had.
Governing workplace AI by design
Workplace AI Governance Design
We design the governance layer for your internal AI systems and agentic workflows. This includes decision boundaries for AI agents, escalation pathways, audit mechanisms, and the human oversight structures that keep your organisation accountable for what AI does on its behalf.
Internal Platform Trust Review
We assess your employee-facing AI tools and internal platforms against the Trust Layer dimensions. Where are agents making decisions without adequate explanation? Where are employees unable to override or challenge AI outputs? We find the gaps and design the fixes.
Agentic AI Readiness Assessment
Before you deploy AI agents at scale, we assess your organisation's readiness: governance frameworks, employee capability, escalation design, audit trails, and the human control structures that EU AI Act and internal risk requirements demand.
When AI acts on your behalf, accountability does not disappear.
Agentic AI systems do not just answer questions. They take actions: they send emails, update records, make bookings, trigger workflows, and interact with other systems. Every action an agent takes on behalf of your organisation is an action your organisation is accountable for.
This creates governance requirements that most organisations have not yet designed for. Who can see what an agent has done? Who can stop it? Who is responsible when it acts incorrectly? What happens when an agent's decision affects an employee's work, performance, or role? These are not technical questions. They are design and governance questions.
We design the human layer that makes agentic AI governable: the oversight mechanisms, the audit trails, the escalation pathways, and the employee-facing explanations that make AI action legible and challengeable.
Organisations where AI is already changing how work gets done.
HR and people teams
Deploying AI in recruitment, performance management, workforce planning, or employee support, where decisions affect people's careers and livelihoods.
Operations and process leads
Running agentic workflows and automated pipelines that are taking on tasks previously done by people.
CIOs and digital transformation leads
Responsible for the internal AI strategy and for ensuring that what gets deployed is governed, auditable, and defensible.
Legal and compliance teams
Managing the internal AI Act obligations that apply to employee-facing systems and agentic tools used in high-stakes organisational decisions.
Team managers and leads
Accountable for AI-assisted decisions made in their teams and needing to understand what the AI is doing and when to override it.
We design governance that people can actually use.
Most AI governance frameworks are documents. Policies, principles, risk matrices. They sit in a SharePoint folder and do not change how anyone works.
We design governance as a system of interactions, interfaces, and organisational practices that are embedded into how your people actually use AI. Employees can see what an agent has done. Managers can audit decisions. Leadership can report on AI use with confidence. That is not a document. It is a design problem.
We have spent over ten years designing digital services for the German public sector. We know what governance looks like when it has to work in practice, not just on paper.
AI Products
Building AI into customer-facing products or services? See our work on external AI deployment.
AI Products →Education and Adoption
Getting your people ready to work with AI confidently and responsibly.
Education and Adoption →Let's look at what AI is doing inside your organisation.
A 30-minute discovery call is enough to map your current situation and identify the highest-priority governance gaps. No pitch. No obligation. No invoice.