AI implementation for NGOs, foundations and donor-funded teams
We help mission-driven organisations redesign proposal, reporting, research, knowledge and evidence workflows with AI without losing accountability, source discipline or human judgment.
AI is entering organisational work faster than governance can follow
In many organisations, AI use starts informally: someone drafts a proposal section, summarises research, rewrites a donor report, analyses a tender or builds a private prompt library.
This creates a new management problem. The issue is not only which tools to buy. The issue is how work changes, who reviews outputs, what evidence supports claims, what data can be used and how the organisation stays accountable.
Responsible AI adoption is a workflow problem
Generic AI training is not enough for teams that work with donors, grants, evaluations, evidence and public trust.
- Which workflows should AI support first?
- Which tools are safe enough for which tasks?
- What data can and cannot be used?
- Where must human judgment remain decisive?
- Which claims need source verification?
- What should be disclosed to clients, donors or evaluators?
- Who owns the workflow after implementation?
The operating layer between AI tools and professional work
The goal is not to produce an abstract AI strategy. The goal is to make daily work faster, clearer and safer.
Proposals and tenders
Grant screening, eligibility review, proposal drafting support, tender analysis and review workflows.
Reporting and evaluation
Donor reporting, research synthesis, evaluation support and decision-ready learning briefs.
Knowledge systems
Internal knowledge-base structure, reusable templates, prompt systems and team memory.
Evidence discipline
Source registers, claim checks, AI-use disclosure, review logs and approval checkpoints.
Start with a clear entry point, then implement what works
AI Workflow Audit
A diagnostic sprint that maps your current workflows, identifies practical AI use cases and defines a safe 90-day implementation roadmap.
- Workflow map
- AI opportunity map
- Risk notes and quick wins
- 90-day roadmap
AI-Native Operating System Sprint
An implementation sprint that turns selected workflows into repeatable AI-supported processes.
- AI workflow library
- Templates and prompt systems
- Review checkpoints
- Implemented pilot workflows
Evidence & Source Verification Layer
A specialised evidence-control product for AI-assisted professional documents.
- Claim extraction
- Source register
- Citation trail
- AI-use disclosure block
AI Operations Partner
Ongoing support for teams that produce regular proposals, reports, tenders and research outputs.
- Workflow maintenance
- Template updates
- Team office hours
- New use-case design
Built for teams where documents carry responsibility
- NGOs and civil society organisations
- Foundations and regranting organisations
- EU grant and tender consultants
- Donor-funded project teams
- Evaluation and research consultancies
- Capacity-building intermediaries
- Mission-driven organisations preparing complex proposals, reports or institutional documents
AI should strengthen professional responsibility, not hide it
We combine NGO, donor-funded and grant workflow experience with digital transformation, process redesign and AI-native organisation design.
Workflow experience
Grant, proposal, reporting, evaluation and donor-facing work.
Digital transformation
Process mapping, workflow redesign, automation and knowledge systems for organisations.
Evidence discipline
Source verification, reviewable claims, approval trails and AI-use disclosure support.
Implementation focus
Practical adoption around real work, not an abstract AI strategy document.
How a first engagement works
Workflow mapping call
We identify where AI could create value and where risk is highest.
Diagnostic review
We review workflows, tools, documents, data practices and responsibilities.
Use-case prioritisation
We select the first workflows based on value, feasibility, risk and adoption readiness.
Implementation design
We design roles, prompts, templates, tools, review checkpoints and governance notes.
Team enablement
We help the team use the workflow and understand where human review remains required.
Roadmap or retainer
We define next implementation steps or continue as an AI operations partner.
Start with one workflow
You do not need to transform the whole organisation at once. Start with one high-value workflow: proposals, reporting, research, evidence review or internal knowledge management.