Giv’s AI Reporting Lets IDD Agencies Report on Anything
Giv has introduced a new AI reporting engine that allows IDD agencies to generate instant, meaningful reports from any data stored in the platform. Because Giv unifies EHR, eMAR, scheduling, billing, payroll, and documentation into one system, the AI can pull answers from every corner of an agency’s operations without exporting data or switching tools.
With a single prompt, users can ask questions like:
“Show incident reports by location this month”
“How many completed visits did we have this week”
“List medications with the most missed doses”
“What revenue was generated by program last quarter”
The AI automatically searches the system, analyzes the data, and produces a clear report in seconds. This makes it possible for agencies to track health outcomes, compliance trends, staffing patterns, documentation quality, billing performance, and service utilization in real time. Learn more here.
Giv’s approach is designed to eliminate the hours agencies spend hunting through spreadsheets, reconciling data between systems, or waiting on manual reports. Instead, leaders and frontline staff get immediate, accurate insight into what is happening across the organization.
Core Solutions adds AI mobile workflows for DSPs in the field
Core Solutions, Inc. has updated its Cx360 platform with new AI-driven mobile workflow tools, giving direct support professionals a simpler way to complete documentation while working in homes and community settings.
The system provides intelligent prompts, reduces duplicate entries, and helps staff capture accurate notes on the go. By guiding users through required steps, the AI tools improve documentation consistency and lighten the load on DSPs already managing heavy caseloads.
With more agencies relying on mobile devices for service delivery, features like these may play a key role in improving quality and reducing burnout. Learn more here.
AlayaCare expands predictive analytics for HCBS and IDD providers
AlayaCare is rolling out enhanced predictive analytics to help providers anticipate care needs and identify potential risks earlier. While the platform serves a broad home and community-based care market, many IDD agencies rely on AlayaCare for service management.
The AI models look at historical data to forecast changes in support needs, staffing patterns, and health indicators. For agencies navigating ongoing workforce shortages, predictive tools can help prioritize care, streamline planning, and ensure individuals receive timely support.
These developments signal a shift toward more data-informed decision-making in the IDD sector. Learn more here.
CentralReach deploys AI tools for faster behavior data insights
CentralReach has introduced new AI-assisted capabilities that analyze behavior data, detect trends, and generate progress summaries for supervisors. The update is aimed primarily at ABA and autism service providers but has implications for IDD agencies supporting individuals with behavioral needs.
By automating routine analysis, the system reduces manual review time and helps clinicians adjust treatment plans more efficiently. The AI summaries provide a clearer picture of progress over time, improving both care planning and family communication.
These features reflect the growing role of AI in clinical documentation and program oversight. Learn more here.
iCareManager pilots AI tools to strengthen documentation and compliance
iCareManager is testing new AI-driven documentation features designed to help IDD providers reduce errors and stay audit-ready. The pilot focuses on intelligent note validation that checks entries for missing details, inconsistent service descriptions, and potential compliance risks before staff submit their documentation.
The system reviews each note in real time, prompting users when units do not match recorded service times, when required fields are incomplete, or when descriptions fall short of state billing standards. For agencies facing rising oversight and tighter Medicaid documentation rules, these AI checks offer an added layer of protection.
iCareManager’s initiative reflects a growing trend across IDD software to embed AI into everyday workflows, especially in areas where small errors can lead to denials, delays, or audit findings. For providers without large quality-assurance teams, automated validation can significantly reduce administrative burden and improve the accuracy of frontline documentation.
As states continue strengthening HCBS oversight, tools like these may become standard expectations for IDD platforms seeking to support both compliance and high-quality service delivery. Learn more here.
Dec 5, 2025
Dec 5, 2025
M&A activity rises in IDD and behavioral health
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California updates DDS vendor process
This blog breaks down what the role involves, how to get started, and what to expect as you build a meaningful career supporting individuals with intellectual and developmental disabilities.
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New Hampshire reviews Medicaid work requirements
This blog breaks down what the role involves, how to get started, and what to expect as you build a meaningful career supporting individuals with intellectual and developmental disabilities.
This blog breaks down what the role involves, how to get started, and what to expect as you build a meaningful career supporting individuals with intellectual and developmental disabilities.