Nonprofits, NGOs and impact organisations have small teams, full inboxes and knowledge-heavy member portals. AI for impact provides email agents that draft replies for human review, RAG chatbots over your own documentation, and voice or transcription agents that turn conversations into structured records. We have delivered all three across more than 100 social impact projects, and over 100,000 people have learned AI for the common good through our free AI for Impact course.
innatura runs an AI email agent that classifies inbound enquiries and drafts replies with mandatory human review – built on N8N and Azure OpenAI, currently in pilot.
Multilang Socialmap built a multilingual RAG chatbot on top of the Paritätischer Wohlfahrtsverband Berlin Socialmap, including Leichte Sprache, so people in vulnerable situations can find social services in their own language.
Mother Earth AI built a self-hosted voice agent for climate communication, K3-Preis winner, used in museums and on Raspberry Pi-based phone installations.
Reclaim TikTok built AI-enhanced analytics for democratic political communication on TikTok – AI4Democracy challenge winner.
Knowledge assistants
Inbound triage and email agents
Voice and structured transcription
Time to first project
first working version in four short sprints, the same way the RAG chatbot for Kompetenzz was delivered
EU-hosted by default
n8n in Berlin, Qdrant in the EU, Azure OpenAI via Microsoft EU
Operable by your team
low-code architecture documented for non-technical operators
1. Discovery workshop
2. Build a working prototype
3. Hand over
We bring a decade of impact-tech experience and over 160 AI projects since 2019. Through our free AI for Impact course, more than 100,000 people have learned to use AI for the common good. We do not run inspiration days. We run scoping sessions and build engagements that ship – the way we have delivered AI for the organisations below:
Kompetenzz – production RAG chatbot serving 1,000+ HumHub members on n8n + Qdrant + GPT-4 via Microsoft EU, delivered in four sprints
GDV (German Insurers Association) – AI Knowledge Assistant over tens of thousands of policy documents for 400+ member companies, on Azure AI Search + GPT-4o via Microsoft AI Foundry. Halved research time, prevented shadow AI, increased employee satisfaction
A leading German association – AI Member Platform combining chat-based discovery with traditional category filters
innatura – AI email agent with mandatory human review in pilot, on N8N and Azure OpenAI
Evangelische Bank – production sustainability scoring B2B tool aligning customers with the Paris 1.5°C climate target via XDC metrics, on bank-compliant Kubernetes infrastructure
Mother Earth AI – self-hosted voice agent for climate communication, K3-Preis winner
Default stack: n8n in Berlin, Qdrant in the EU, Azure OpenAI via Microsoft EU Sovereignty, plus open-source EU alternatives like Mistral and Milvus on request.
AI does not replace your operators or your experts. It removes the lookup, the routing and the first-draft work. The judgement call stays with a human, especially anywhere accountability matters.
Mandatory human review for outbound communication. Anything that goes to a customer, member or beneficiary should be drafted by AI and signed off by a human. We build that constraint into the workflow, not as an afterthought.
Hallucination is the failure mode to design against. Grounded RAG with citations, not free-text generation. If a system cannot cite its source, treat its answer as a guess.
How long does a first project take?
Is your stack EU-compliant?
Can our non-technical team operate the system?
Do you work under public procurement?
Tell us about your team and the workflow you want to improve. We will reply with a proposal and a date, usually within a working day.
Simon Stegemann
Co-Founder and CEO
