AI readiness diagnostic
AI Workflow Audit for NGOs and grant teams.
A focused diagnostic that shows where AI can safely improve proposals, reporting, research and knowledge work, and where it should not enter yet.
2-3 weeksDiagnostic timeline
5-7 use casesRanked by value and risk
90-day roadmapPractical implementation path
What you get
A practical map before you buy tools or redesign the whole organisation.
Workflow map
Current process, owners, tools, documents, handovers and decision points.
AI opportunity map
Use cases ranked by value, feasibility, risk and organisational readiness.
Risk and evidence notes
Where AI needs human review, source discipline, data boundaries or approval rules.
How it works
Short, structured and grounded in your real work.
1
Workflow intakeWe collect the main documents, tools, pain points and recurring decisions.
2
AI fit reviewEach workflow is tested for value, risk, evidence needs and adoption effort.
3
RoadmapYou receive a prioritized map of what to pilot first, what to defer and what to govern.
Workflow scenarios
Typical audit situations we can map before implementation starts.
Proposal team
AI use has already entered proposal drafting.
Issue
Prompts, old proposals, source links and eligibility assumptions are scattered across team members.
Audit
Map the proposal workflow, owners, evidence needs, review gates and safe AI entry points.
Output
Workflow map, AI opportunity list, risk notes and a 90-day pilot path.
Donor reporting
Reports are late because evidence is hard to assemble.
Issue
Activities, indicators, quotes, photos and source documents live in different places.
Audit
Identify where AI can support synthesis without weakening evidence control or human approval.
Output
Reporting workflow map, data boundaries and a practical evidence-ready reporting process.
Leadership map
Leadership wants AI adoption without tool chaos.
Issue
Different teams test different AI tools, but there is no common ownership or review standard.
Audit
Rank workflows by value, risk, readiness and governance needs before buying more tools.
Output
Prioritised adoption map for leadership, department leads and AI champions.
Best fit
Use this when AI is already appearing in work, but the operating rules are unclear.
- Teams preparing grant proposals, donor reports or research outputs.
- Organisations considering ChatGPT, Copilot, Notion AI, Claude or custom agents.
- Leadership teams that need a realistic AI roadmap before buying more tools.
Start with a map, not a tool purchase.
We identify the safe AI layer, the value cases and the governance gaps.