Identified need
The functional need that led to the assessment.
evalKeeper's Funding & Justification workflow brings functional needs, recommended technology, trial evidence, measurable outcomes, and other supporting information from the assessment into one editable funding packet. When the packet is ready, export the information to an editable Word document or use AI to draft a funding justification letter based on the packet data, then review and refine it before use.
Bring the needs, findings, recommendations, and trial results behind the technology together in one place.
Build funding documentation from information already captured throughout the assessment, trial, and implementation workflow.
A funding justification needs to communicate more than which technology is recommended. It should tell the story behind the recommendation: the individual's functional needs, what was learned during the assessment, the technology and features considered, what happened during device trials, and the outcomes that support the final recommendation.
evalKeeper brings that information into a funding packet using data already collected throughout the assessment. Functional needs, recommended technology and features, trial evidence, measurable outcomes, assessment findings, and supporting information can be brought together without rebuilding the story from scratch.
The funding packet can also include implementation and progress information such as training, support, follow-up, and outcomes. Once the information is brought into the packet, it can be reviewed, edited, and refined to fit the specific funding request, payer, organization, device, or situation.
Bring the needs, assessment findings, trial results, and measurable outcomes that led to the assistive technology recommendation into a clear funding story.
The functional need that led to the assessment.
What was learned during the assistive technology evaluation.
The technology and features explored to address the identified need.
What happened when the technology was tried in practice.
The measurable results and outcomes observed during the trial.
The assistive technology recommended based on the gathered evidence.
The funding documentation that connects the recommendation to the supporting evidence.
The plan for training, support, progress, and follow-up after the recommendation.
Bring information already gathered throughout the assistive technology assessment into a funding packet you can review, refine, export, or use to generate an AI-assisted letter.
Build a funding packet using information already collected during the assessment instead of starting from a blank document.
Bring documented functional needs and assessment findings into the funding packet to help establish the need behind the recommendation.
Include the recommended assistive technology and the specific device features relevant to the individual's needs and funding request.
Use device trial results and observed outcomes as supporting evidence for the assistive technology recommendation.
Connect measurable outcomes and defined success criteria to the evidence supporting the recommendation.
Keep relevant supporting information gathered during the assessment connected to the rest of the funding packet.
Review and adjust the information brought into the packet so the documentation fits the specific funding request.
Document implementation and training plans, including participants, training needs, methods, strategies, supports, and environments.
Define review dates, expected outcomes, baseline information, success criteria, and data-collection methods for ongoing follow-up.
Document progress and adjustments as implementation continues, keeping follow-up information connected to the original recommendation.
Keep funding documentation connected to the assessment, recommendation, implementation, and follow-up instead of rebuilding the information in separate documents.
Use the funding packet data to generate a draft funding justification letter with AI, guided by an optional custom prompt.
Build on information already gathered during the assessment, then export it to an editable Word document or use AI to draft a funding justification letter.
Bring functional needs, findings, recommended technology, trial evidence, and measurable outcomes into the funding packet.
Document training plans, support, environments, review dates, expected outcomes, and success criteria.
Export the funding packet data to an editable Word document or use AI to generate a draft funding justification letter.
Edit and refine the documentation so the final result reflects the specific funding request and your professional judgment.
AI uses the information already gathered in the funding packet to help draft the letter. It does not make the recommendation or replace the AT professional's judgment.
Use your funding packet data to generate a draft funding justification letter based on the needs, assessment findings, recommendations, trial evidence, outcomes, and other information you have documented. Add a custom prompt to guide what the AI emphasizes, then review and refine the generated letter before using it.
Provide a custom prompt to guide the AI-generated letter toward the information most important to the funding request, such as trial outcomes, functional needs, educational or workplace needs, specific device features, or other relevant considerations.
The generated letter is an editable starting point. Review and refine the draft so the final funding justification reflects the evidence, recommendation, and your professional judgment.
The AT professional gathers the evidence and makes the recommendation. AI helps turn the information in the funding packet into an organized first draft of the written justification.
A stronger funding packet connects the individual's needs, assessment findings, trial evidence, recommended technology, and measurable outcomes in one organized record.
Establish the needs that led to the assessment and show why assistive technology is being considered in the first place.
Connect what was learned during the evaluation to the assistive technology and features ultimately being recommended.
Include trial results and observations that show how the recommended technology performed when it was actually used.
Show the results that support the recommendation and the criteria used to determine whether the technology met the identified need.
Keep relevant documentation and supporting information connected to the rest of the funding packet instead of scattered across separate records.
Use the completed packet to support an editable Word export or an AI-assisted draft letter that can be reviewed and refined before use.
Learn how evalKeeper connects assistive technology assessment evidence to funding documentation, Word export, and AI-assisted letter drafting.
Funding & Justification helps bring information already gathered during an assistive technology assessment, including functional needs, assessment findings, recommended technology, trial evidence, and measurable outcomes, into an organized funding packet instead of requiring the documentation to be rebuilt from scratch.
Yes. The funding packet uses information already captured throughout the broader assessment workflow, helping keep the funding documentation connected to the evidence behind the assistive technology recommendation.
Yes. A funding packet can include implementation and progress details such as training participants, training needs and methods, implementation strategies, support plans, environments, review dates, expected outcomes, success criteria, baseline information, data collection, and progress notes.
Yes. Information brought into the funding packet can be reviewed and edited, and the packet data can be exported to an editable Word document for additional refinement and use.
Yes. evalKeeper can use the information in the funding packet to generate a draft funding justification letter with AI. The AT professional can then review and refine the generated letter before using it.
Yes. Add a custom prompt to guide what the AI emphasizes in the funding justification letter, such as trial outcomes, functional needs, educational or workplace needs, specific device features, or other considerations relevant to the funding request.
No. The AT professional gathers the evidence and makes the recommendation. AI helps turn information already documented in the funding packet into an organized first draft of the written justification, which the professional reviews and refines.
Request a 30-day trial and see how assessment evidence can flow into an editable funding packet, an exported Word document, or an AI-assisted funding justification letter. No credit card is required.