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Public lesson preview

AI for grants, proposals, and donor readiness.

This preview follows the complete seven-part learner journey from a controlled proposal workspace to an authorized submission decision file.

A diverse local NGO team reviewing donor-call evidence and requirements
Sources, requirements, decisions, and owners stay visible throughout the proposal process.
Orientation

Build the proposal control room

Assign decision roles, document control, safe inputs, and the boundary between AI assistance and institutional authority.

  • Named owners.
  • Source hierarchy.
  • Submission stop controls.
Lesson 1

Read the donor call and decide whether to proceed

Convert the current call, annexes, clarifications, and portal instructions into a traceable requirement matrix.

  • Eligibility and admissibility.
  • Selection and award criteria.
  • Evidence-based go or no-go.
Lesson 2

Build the evidence chain

Control problem statements and proposal claims through source quality, limitations, community perspectives, and explicit gap decisions.

  • Claim-source register.
  • Participation evidence.
  • Use, qualify, replace, or remove.
Lesson 3

Test the theory of change and logframe

Challenge causal links, assumptions, participation, indicators, baselines, targets, risks, and verification methods.

  • Activity-output-outcome chain.
  • Indicator reference definitions.
  • Adaptation and learning.
Lesson 4

Reconcile budget and compliance

Make the narrative, work plan, staffing, procurement, timeline, unit assumptions, and donor cost rules tell one story.

  • Programme-finance ownership.
  • Cost calculation records.
  • Version control.
Lesson 5

Run the red-team review

Review compliance, quality, and cross-document consistency through issues that have owners, deadlines, and verifiers.

  • Donor criteria matrix.
  • Unsupported-claim hunt.
  • Critical submission stops.
Lesson 6

Defend the Proposal Decision File

Assemble the evidence, controlled documents, reviews, residual risks, version record, and authorized submission decision.

  • Eight required components.
  • Three tabletop tests.
  • Named final authority.

Teaching boundary

AI supports proposal work; it does not become the evidence.

This preview is a training aid. It is not donor approval, legal advice, fundraising assurance, or a guarantee that a proposal will be funded.