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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.

Learning time7 guided hours
Learning checks7 lessons + 7 microchecks
Assessment8 practice + 20 final draft
OutputProposal Decision File
A diverse local NGO team reviewing donor requirements and source evidence
A proposal control room turns call documents, evidence, costs, review findings, and authority into one visible decision process.

Course modules

Move from the original call to an authorized submission.

Orientation
Proposal control room

Set roles, source boundaries, document control, and the principle that AI may support the work but may never become its evidence or authority.

Part 1
Donor call and go or no-go

Build a traceable matrix across eligibility, admissibility, selection capacity, award criteria, annexes, clarifications, and submission mechanics.

Part 2
Evidence chain and problem framing

Connect material claims to sources, limitations, community perspectives, and explicit gap decisions.

Part 3
Theory of change and logframe

Test causal links, assumptions, participation, indicators, baselines, targets, risks, and means of verification.

Part 4
Budget and compliance reconciliation

Align activities, staffing, procurement, timing, units, rates, co-financing, and donor-specific rules under finance ownership.

Part 5
Red-team and donor-fit review

Review criteria, evidence, feasibility, local ownership, protection, data, costs, and cross-document consistency through an owned issue log.

Part 6
Proposal Decision File

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.

7guided lessons
7decision microchecks
28assessment questions
11working resources

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.

Related learning

Connect proposal skill with responsible AI practice.

Responsible AI for NGOs

Build the policy, risk, and review rules that should sit behind AI-supported grant writing.

Free AI Literacy course

Start with safe everyday AI use before applying AI to donor-facing material.