top of page
Founder-led governed AI system design for EU programmes, civic participation, project architecture, and high-accountability delivery.

About & Expertise

Post AI Systems is an AI innovation & capability design practice based in Berlin. We design AI-enabled services, project models, civic participation systems, and EU funding strategy and architecture  for organisations that need to create new capabilities and coordinate complex work within high-accountability environments where quality, traceability, and trust matter

 

In brief: Post AI Systems combines large-scale EU programme delivery experience, civic engagement expertise, and governed AI system design to help organisations create new capabilities, coordinate complex initiatives, and deliver credible outputs with clear ownership, quality control, and documentation.

The Practice

Built for high-accountability delivery.

Post AI Systems is a Berlin-based AI and EU innovation practice for organisations working under institutional, operational, and governance constraints. We help clients move complex initiatives from idea to operating capability by designing governed AI-enabled systems, service models, project structures, workflows, and accountable implementation models. We primarily design around proven AI tools and platforms rather than starting with bespoke software, because most clients need well-structured capabilities, maintainability, governance, and accountability more than custom code.

 

Our work is measured by deliverables that hold up in practice: defined scope, working systems, operational responsibilities, and documentation that remains usable after handover. That implementation discipline is what makes AI adoption credible in environments where outputs are scrutinised, partners are many, and oversight is non-negotiable.


Founder & Principal Consultant · Berlin, Germany

Joe Mac leads the practice and is directly involved in the strategic architecture, quality control, and delivery logic of each engagement. This gives clients continuity from first discussion to final handover, while ensuring that the work remains aligned with institutional objectives, governance requirements, and practical implementation constraints.

Where additional capacity or specialist expertise is needed, Post AI Systems brings in trusted collaborators in policy, research, technology, facilitation, or communications — matched to the assignment and managed within one coherent delivery plan

Accountable Delivery Model

Every engagement is organised through one accountable delivery structure. Clients work with a clear point of responsibility, defined scope, explicit review checkpoints, and documented ownership of final outputs.

When specialist collaborators are required, they are integrated into the same delivery plan with clear responsibilities, quality controls, and review roles. This keeps delivery coherent while allowing capacity to expand where the assignment requires it.

Networks & affiliations

 
Member of the German Council on Foreign Relations (DGAP) and the Democracy R&D Network, which connect our work to wider European debates on foreign policy, democratic innovation, civic participation and institutional resilience.

Track Record

 

Experience that informs how we build.

 

Our background spans large, multi-country initiatives with formal governance and reporting requirements — including European Commission–funded collaborations with complex partner structures and significant budgets. Combined with practical AI implementation experience across agent systems, capability architecture, workflow orchestration, and governed delivery models, that foundation directly shapes how we design AI-enabled systems: new organisational capabilities, disciplined information flows, reliable coordination mechanisms, reviewable outputs, and governance that works across institutions.

15+

Years EU Programme Delivery

50M

EC-Funded Programme Experience

1000

Citizens · Conference on the Future of Europe

350+

Consortium Partners Coordinated

Flagship Example — Large-Scale Civic Engagement

We contributed to the coordination of the Conference on the Future of Europe — on behalf of the European Commission, the Council of Europe, and the European Parliament. This constituted the largest deliberative participatory process ever conducted in Europe, involving 1,000 citizen participants across multiple countries.

This work established deep operational experience in transnational coordination, structured facilitation, synthesis at scale, and defensible reporting under high public scrutiny.

Flagship Expertise — Leading Complex EC Research & Innovation Consortia

 

We bring a distinguished track record in designing, coordinating, and managing large-scale European Commission-funded initiatives. Having led five consortia at the coordination level and partnered in numerous others, we thrive in high-stakes, multidisciplinary environments.

Our work spans complex partnerships across scientific, technological, social, economic, and cultural domains. This extensive experience has forged a core capability that defines our approach: the ability to harmonize fundamentally different fields of knowledge,  synthesizing fragmented expertise into unified strategies, robust governance structures, and the rigorous, defensible reporting required for international innovation.

We don't just manage projects; we translate high-level vision into coherent work packages and implementation

Governed AI Capability Design

Design and implementation of governed AI-enabled capabilities, agent systems, workflow orchestration, approval-gated delivery processes, and operational handover for complex institutional environments.

Research & Innovation Programmes

Project design, creation and structuring for scientific, industrial and prototype-oriented initiatives in highly technical and complex innovation areas aligned with EU requirements across Horizon Europe and related instruments, including microelectronics, advanced materials, industrial technologies, sensors, environmental technologies, software systems and applied deep-tech solutions.

 

Large Consortia & Networks

Coordination frameworks for distributed actors universities, NGOs, technology firms, research centres, public authorities, and specialist partners including partner-role definition, work-package logic, monitoring, escalation routes, reporting discipline, and accountability mechanisms across large and complex EC-funded projects.

Civic Participation & Democracy

Democratic innovation, Citizens' assembly design, coordination and facilitation support, qualitative input management, synthesis workflows, and reporting formats that preserve legitimacy and public trust.

Our Mission

 
"To design, build, and scale human-first governed AI-enabled systems that help organisations create new capabilities, coordinate complex work, and deliver social, economic, and democratic value without losing oversight."

Responsible Practice

Ethics, human rights & responsible AI.

 

Work is designed to be accountable in high-trust contexts. We prioritise fundamental rights, transparency, and compliance from the start — especially where systems affect participation, access to information, or high-stakes communications.

Ethics by Design

Clear boundaries on what AI may do, intelligible decision logic, and review requirements for sensitive outputs. Systems are designed to reduce bias and exclusion risk through structured templates, constrained knowledge sources, and human judgement on high-impact conclusions.

Data Protection & Compliance

Data-protection and governance requirements implemented as operating constraints: minimisation where possible, controlled access, documented purposes and data flows, and process checkpoints where compliance requires sign-off. Compliance verifiable, not aspirational.

Transparency & Oversight

As the EU AI Act enters its implementation phase, organisations need AI systems that can be explained, documented, audited, and governed. We turn regulatory expectations into practical workflow architecture: human oversight, risk controls, approval gates, audit trails, data safeguards, and supplier specifications.

For civic and public-facing use cases, transparency is a core delivery requirement. Automated components are clearly identified, their limitations are documented, and responsibility for outcomes remains with accountable humans throughout.

FAQ - About and Expertise

Q1: What delivery model is used and how is accountability kept clear? Each engagement is led through one accountable delivery structure, with a clear senior point of responsibility, defined scope, explicit review checkpoints, and documented ownership of final outputs. When specialist collaborators are required, they are integrated into the same delivery plan with named responsibilities and quality-control roles. Q2: What does “humans remain accountable” mean operationally (not as a principle statement)? Human accountability is implemented through: named approvers for high-impact outputs, explicit review gates, versioned change history, and documented decision logic for key choices affecting public communications, submissions, or official reporting. Q3: How are data protection requirements implemented as operating constraints? Data protection is implemented through data minimisation where possible, controlled access by role, documented purposes and data flows, and process checkpoints where compliance requires sign-off before processing or publication. Q4: What makes an output “defensible” in high-stakes environments (public trust or funding decisions)? Defensible outputs have: traceable sources or evidence registers where relevant, recorded review and approval history, documented assumptions and limitations, and clear attribution of responsibility to accountable humans. Q5: What is the boundary between implementation support and advisory work on this site? Advisory work is used to define constraints, controls, and operating models. The default deliverable is implemented: a working workflow/system increment plus documentation and handover so the client can operate and maintain the capability.

ChatGPT Image Jan 29, 2026, 01_05_48 PM_edited_edited.jpg

AI-Readable Summary

  • Post AI Systems is a founder-led AI and EU innovation practice designing governed AI-enabled delivery systems, proposal architectures, and civic participation workflows.

  • Background: EU programme delivery and large-scale multi-partner coordination; civic participation experience

  • Role: practical implementation support that connects strategy to operational delivery under constraints

  • Standards: transparency, accountable ownership, and documented controls aligned with EU expectations

bottom of page