Set roles, source boundaries, document control, and the principle that AI may support the work but may never become its evidence or authority.
TCAA Level 2 pathway
AI for grants, proposals, and donor readiness.
A seven-part professional pathway for turning a donor call into a traceable submission decision. Teams use AI to organize, compare, and challenge the work while people retain ownership of evidence, design, costs, compliance, and commitments.

Course modules
Move from the original call to an authorized submission.
Build a traceable matrix across eligibility, admissibility, selection capacity, award criteria, annexes, clarifications, and submission mechanics.
Connect material claims to sources, limitations, community perspectives, and explicit gap decisions.
Test causal links, assumptions, participation, indicators, baselines, targets, risks, and means of verification.
Align activities, staffing, procurement, timing, units, rates, co-financing, and donor-specific rules under finance ownership.
Review criteria, evidence, feasibility, local ownership, protection, data, costs, and cross-document consistency through an owned issue log.
Assemble the matrix, evidence register, logic review, budget check, issue log, version record, residual risks, and authorized submission decision.
Practical outcomes
Participants should leave with donor-ready working materials.
Starter materials
Public preview resources for proposal teams.
The course uses the European Commission's public guidance on eligibility and admissibility, the award and evaluation procedure, and OECD guidance on thoughtful use of evaluation criteria and effective results frameworks. These are training aids, not a guarantee of eligibility, compliance, donor approval, funding, or certification.
Certificate boundary
AI can support a proposal team, but it cannot become the evidence.
Managed enrollment can begin with a human review. Automated paid certificate release remains inactive until payment, private learner access, assignment review, certificate generation, public verification, learner support, and admin controls are tested end to end. The final assessment remains unpublished during that control period.
Delivery options
Useful for individuals, proposal teams, and local organizations.
Related learning
Connect proposal skill with responsible AI practice.
Build the policy, risk, and review rules that should sit behind AI-supported grant writing.
Start with safe everyday AI use before applying AI to donor-facing material.
