The Concept Note Evaluator evaluates your draft Concept Note against the same evidentiary and investment-criteria standards applied to real, approved concept notes — and gives you structured, actionable feedback so you know exactly what to strengthen before formal submission.
A fast, consistent first-pass check — before your concept note reaches a Donor's desk.
Rather than a generic AI critique, the Concept Note Evaluator flags specific weaknesses at the level a Donor reviewer would look for.
It reviews a draft Concept Note before it reaches a Donor and produces structured, actionable feedback on what needs to be strengthened before formal submission. It checks for internal consistency, completeness, and whether the claims made in the document are actually supported by the evidence cited — flagging specific weaknesses section by section. The output tells a project developer not just that something is weak, but where it is weak and why, so revision is targeted rather than speculative.
A general AI tool will apply generic writing and logic criteria, not the specific evidentiary and investment standards that Donors actually use to assess concept notes. An internal reviewer brings expertise but is time-constrained, subject to familiarity bias, and unavailable at scale when you're managing multiple applications. The Concept Note Evaluator applies evaluation criteria grounded in real, approved concept notes — not a generic rubric — and does so consistently, on demand, at the start of the review cycle rather than at the end when it's most costly to revise.
The tool accepts a Concept Note as a document upload — no manual reformatting or data re-entry is required. You upload the document as-is, and the system processes it directly. This is deliberate: requiring manual transcription or structured data entry before you can get an assessment would defeat the purpose of a fast first-pass tool.
The output is structured, section-by-section feedback rather than a single pass/fail score or a general narrative critique. For each section, the evaluator surfaces specific issues: missing data points, unsupported claims, gaps in climate rationale, or misalignment with Donor investment criteria. This makes the output immediately actionable — a project developer or reviewer knows exactly which sections to prioritize and what specifically needs to be addressed.
The evaluator has been benchmarked against actual approved concept notes to validate that its assessments align with the evidentiary and quality standards applied in real Donor review processes. This grounding in real precedent — not a constructed rubric — is what distinguishes it from a generic AI critique. We can share more detail on the validation methodology with institutional clients during due diligence.
The tool's evaluation framework is grounded in the standards and patterns common across major climate finance programs. It does not require a Donor-specific configuration for each submission, though the depth of its benchmarking reflects the programs most represented in the underlying corpus. If your portfolio includes submissions to programs with very distinct requirements, your account team can discuss whether specific calibration is warranted.
Significantly faster than a manual review cycle — assessments are generated in minutes rather than days. The value for institutional users managing multiple applications simultaneously is that the turnaround doesn't create a queue: you can run an assessment as soon as a draft reaches a reviewable state, rather than waiting for reviewer availability.
That's the primary institutional use case. Rather than routing every draft through a small pool of senior technical reviewers, teams can use the Concept Note Evaluator as a consistent first-pass filter — advancing the documents that are genuinely ready for expert attention and returning the weaker ones with specific revision guidance before they consume reviewer time. The result is fewer weak submissions reaching formal review and a higher-quality portfolio entering the Donor pipeline.
Usage is token-based, tracking the length of the document processed and the evaluation output generated. Token consumption per evaluation is predictable and scales with document length. Administrators can track and manage usage across their team through the Master Administration Panel. Specific pricing is available from your account team.
The evaluator is a first-pass quality check, not a guarantee of approval. Concept notes that pass the evaluator's assessment may still face questions in formal Donor review — particularly around project-specific local context, stakeholder relationships, or political considerations that don't appear in the document itself. Equally, the tool flags structural and evidentiary weaknesses; it doesn't replace the judgment of a climate finance professional on strategic positioning. Think of it as raising the floor of submission quality, not capping the ceiling of what expert review adds.
Structured, actionable feedback — grounded in real evaluation standards.