Writing a single proposal took two months. GenAI agents now digest 85 data sets to draft compliant narratives in just two days.
A state agency serving the entire population through inpatient hospitals and crisis centers relies on approximately $80 million in annual federal grants to fund its operations.
Identifying over 50 funding opportunities annually, the agency struggled with a manual process where a single 25-page proposal took two months to...
“Although grant writing is often a lengthy and complex process, it’s a vital step in acquiring the funds necessary to serve our communities. We at ODMHSAS are fully committed to uncovering innovative approaches to streamline this process to enhance and accelerate the support we provide to those in need.”
State agency providing mental health and addiction treatment and prevention services.
Oklahoma Department of Mental Health and Substance Abuse Services (ODMHSAS)'s Grant writing is part of this use case:
Related implementations across industries and use cases
Documentation glued doctors to screens. Now, an AI drafts notes from conversations, leaving physicians to simply review and approve.
Staff manually cross-checked hundreds of pages. Agents now synthesize technical files to draft environmental analyses.
Drafting grant proposals took hours, limiting new outreach. Now, AI generates tailored drafts so staff can focus on the narrative.
Drafting grant proposals took hours, limiting new outreach. Now, AI generates tailored drafts so staff can focus on the narrative.
Writers spent weeks sifting through data to draft reports. AI now generates a 14-section first draft in minutes for review.
New agents manually trawled complex file folders for answers. Now, they ask an AI assistant to instantly synthesize multi-source data.
Staff manually cross-checked hundreds of pages. Agents now synthesize technical files to draft environmental analyses.
Training models for 300+ invoice formats bottlenecked operations. Now, generative AI extracts data instantly; staff review exceptions.
Pulling answers from a sprawling customer dataset once meant weeks of SQL; now anyone asks in plain language and explores it in seconds.
Writing a single proposal took two months. GenAI agents now digest 85 data sets to draft compliant narratives in just two days.
A state agency serving the entire population through inpatient hospitals and crisis centers relies on approximately $80 million in annual federal grants to fund its operations.
Identifying over 50 funding opportunities annually, the agency struggled with a manual process where a single 25-page proposal took two months to...
“Although grant writing is often a lengthy and complex process, it’s a vital step in acquiring the funds necessary to serve our communities. We at ODMHSAS are fully committed to uncovering innovative approaches to streamline this process to enhance and accelerate the support we provide to those in need.”
State agency providing mental health and addiction treatment and prevention services.
Oklahoma Department of Mental Health and Substance Abuse Services (ODMHSAS)'s Grant writing is part of this use case:
Related implementations across industries and use cases
Documentation glued doctors to screens. Now, an AI drafts notes from conversations, leaving physicians to simply review and approve.
Staff manually cross-checked hundreds of pages. Agents now synthesize technical files to draft environmental analyses.
Drafting grant proposals took hours, limiting new outreach. Now, AI generates tailored drafts so staff can focus on the narrative.
Drafting grant proposals took hours, limiting new outreach. Now, AI generates tailored drafts so staff can focus on the narrative.
Writers spent weeks sifting through data to draft reports. AI now generates a 14-section first draft in minutes for review.
New agents manually trawled complex file folders for answers. Now, they ask an AI assistant to instantly synthesize multi-source data.
Staff manually cross-checked hundreds of pages. Agents now synthesize technical files to draft environmental analyses.
Training models for 300+ invoice formats bottlenecked operations. Now, generative AI extracts data instantly; staff review exceptions.
Pulling answers from a sprawling customer dataset once meant weeks of SQL; now anyone asks in plain language and explores it in seconds.