About & Expertise
Post AI Systems helps organisations create, position and develop new capabilities by connecting technical assets, operational requirements, use cases, complementary technologies, strategic partners and collaborative R&D opportunities within coherent capability architectures.
The practice draws on more than 15 years of experience across European programme delivery, large consortium coordination, deep-technology environments, democratic innovation, institutional governance and multidisciplinary project development.
This experience supports work in settings where no single technology, organisation or field of expertise can deliver the required outcome alone.
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 Around Shared Success
Post AI Systems works as a strategic capability-development partner rather than a detached advisory provider.
The role is to help organisations understand what capability they can credibly create, what additional technologies or partners are required, how the development effort should be structured and which route offers the strongest prospect of realisation.
The focus is on helping build the conditions for success: clearer positioning, stronger opportunity pathways, credible partnerships and fundable strategies. The relationship is collaborative and outcome-oriented — closer to a long-term innovation partner than to a standard consultancy assignment.
Built for high-accountability delivery.
Post AI Systems is a Berlin-based capability-development and innovation practice for organisations working under institutional, operational and governance constraints. Our work runs across the full arc of developing a new capability: positioning and requirements, consortium and partnership development, service and project design, and accountable implementation. Governed AI is applied within that work where it materially improves the capability; it is not a feature of every engagement.
We help clients and partners move complex initiatives from idea to operating capability: structuring knowledge, clarifying strategic options, designing delivery systems and supporting better decisions. Where AI strengthens that work — accelerating analysis, organising evidence, orchestrating governed workflows — we use it deliberately and under human oversight. The focus is not AI for its own sake, but capability: clearer positioning, stronger partnerships, fundable strategies, governed workflows and practical systems that remain usable after handover.
When a capability needs a working delivery system, we build around proven tools and platforms rather than starting with bespoke software, because most organisations need maintainable, well-structured and accountable capabilities before they need custom code.
Our work is measured by deliverables that hold up in practice: defined scope, clear responsibilities, usable documentation, working systems and implementation models that remain credible in environments where outputs are scrutinised, partners are many, and oversight is non-negotiable.
Founder & Principal Consultant · Berlin, Germany
Joe Mac, depicted in the image above, leads the practice and is directly involved in the strategic architecture, quality control, and delivery logic of each engagement. Founder-led delivery ensures that the capability architecture, partner logic, governance model and final outputs remain coherent across the 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 behind the work
Our capability-development approach is grounded in direct experience of creating coherence across complex programmes, institutions and partner environments.
The track record below demonstrates experience in:
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coordinating multidisciplinary contributions;
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connecting technical, organisational and policy requirements;
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designing project and delivery structures;
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managing governance, quality and accountability;
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developing partner and consortium relationships;
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translating complex objectives into implementable programmes;
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and maintaining coherence across large European initiatives.
15+
Years EU Programme Delivery
50M
EC-Funded Programme Experience
800
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 Parliament, Council of the European Union, and European Commission. This constituted the largest deliberative participatory process ever conducted in Europe, involving 800 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
Flagship Expertise — Deep-tech & High-Technology Ecosystems
Post AI Systems brings knowledge of advanced technology ecosystems shaped by experience with the UK’s Cambridge high-technology cluster, known as Silicon Fen. This environment is associated with deep-tech innovation, microelectronics, software, advanced engineering, research-driven start-ups and networks of emerging technology companies.
This expertise supports work with AI, cybersecurity, microelectronics, digital infrastructure, GovTech, civic-tech and resilience organisations. The focus is on translating complex technical capabilities into clear strategic narratives, relevant European funding routes, partnership opportunities and credible paths for institutional or public-sector adoption.
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.
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 boundary depends on the engagement. Capability Architecture and Collaborative R&D work produces defined architectures, project structures, partner logic and development routes. Where the engagement concerns a governed AI-enabled delivery system, the work can extend into implementation, documentation and operational handover.