Agentic AI

An agent continuously monitors supplier performance in D365 (on-time delivery, quality rejection rates, lead-time variance) and external signals (news, financial filings, weather events in supplier regions). When risk scores exceed thresholds, it identifies alternative approved suppliers, generates comparison reports, and alerts procurement to act before the disruption hits production.

The agent combines LiDAR survey data, satellite imagery, weather patterns, historical outage data, and species growth rates to prioritize vegetation management by risk score. It proposes risk-ranked trimming schedules, drafts the work orders in D365 for your team’s approval, and tracks compliance against NERC FAC-003.

The agent searches the firm knowledge base (past proposals, case studies, team bios, certifications, rate cards) to assemble a first draft. It matches RFP requirements to relevant past performance, suggests team members by required skills, and generates a pricing model from historical win rates.

The agent ingests equipment telemetry (vibration, temperature, pressure, current draw) and maintenance history from D365 Asset Management. ML models predict remaining useful life.

An agent orchestrates the full onboarding workflow: collects identity documents, extracts and validates information using AI Document Intelligence, cross-references against sanctions lists.

An AI agent continuously analyzes SCADA telemetry, weather data, and historical failure patterns to filter noise, correlate related alarms, and surface genuine anomalies.

A conversational agent handles prospective-student inquiries 24/7 (program details, financial aid, campus life, application status). It personalizes responses by student profile.

An agent monitors project financials in D365 Project Operations in real time: actual hours vs. budget, burn-rate trajectory, milestone completion, and scope changes.

The agent assembles clinical documentation from the EHR, matches it against payer-specific authorization requirements, submits requests electronically where supported, tracks status, and follows up automatically on pending requests. Reduces authorization turnaround from days to hours.

The agent analyzes order patterns, SKU velocity, and seasonal trends to optimize warehouse slotting dynamically. It generates pick routes that minimize travel distance, predicts labor requirements from incoming order volume, and adjusts wave planning in D365 WMS.

The agent ingests contract documents, extracts key terms and clauses using AI Document Intelligence, compares them against the organization’s approved playbook, and generates a risk-scored summary highlighting deviations.

A voice and chat agent handles appointment scheduling, insurance verification, and intake form collection 24/7. It checks provider availability in real time.

The agent extracts reporting data from D365 Finance and upstream trading/lending systems, applies regulatory calculation rules, identifies data-quality exceptions, and generates pre-formatted reports.

Deploys a conversational AI agent grounded in 2,000+ pages of agency documentation using RAG architecture. The agent handles tier-1 citizen inquiries across web chat, phone IVR, and portal.

The agent automates document verification (tax transcripts, identity verification, dependency status), cross-references FAFSA data with institutional records, identifies discrepancies for manual review.

The agent receives invoices via email, portal, or EDI. AI Document Intelligence extracts header and line data and matches against open POs and goods receipts in D365.

An agent receives claim submissions, extracts information from documents and photos using AI Vision and Document Intelligence, validates coverage against policy terms, flags potential fraud indicators, calculates reserves from historical patterns, and routes the claim for adjuster review with a pre-populated assessment. Straightforward claims can auto-approve within configurable thresholds.

An autonomous agent monitors grant-funded projects in D365, validates expenditures against allowable cost categories, flags disallowed charges before they post, calculates cost-share and match requirements, and pre-assembles sponsor reports with supporting documentation.

An autonomous agent continuously monitors demand signals from D365 SCM, machine availability from IoT sensors, and material inventory levels. When disruptions occur, it recalculates the production schedule.

An agent listens to patient encounters (with consent), generates structured clinical notes aligned to organization templates, suggests ICD-10 and CPT codes based on the encounter.

An omnichannel agent unifies customer context across web chat, email, phone, and in-store interactions, surfacing purchase history, loyalty tier, open orders, and return history in real time.

The agent continuously monitors procurement activity against DBE/MBE participation targets, flags contracts approaching compliance thresholds, validates vendor certifications against SAM.gov.

A unified service agent receives requests across channels (chat, email, portal, SMS), classifies them by type (facilities, IT, housing, parking, dining), routes to the right department with priority scoring.

A conversational agent handles the top 20 IT support request types autonomously: password resets via identity verification, access provisioning through Entra ID, VPN troubleshooting.

The agent ingests POS data, promotional calendars, weather forecasts, local event schedules, and social-media sentiment to generate store-level demand forecasts that update daily. When actual sales deviate from forecast beyond a configurable threshold, it adjusts replenishment orders automatically and alerts category managers to investigate.

The agent unifies data from the SIS (enrollment, GPA), LMS (logins, submissions, participation), financial aid (balance holds, disbursement status), and housing (dining-card usage). A predictive model identifies at-risk students 6 weeks before traditional indicators surface.

An AI agent analyzes in-process sensor data and visual inspection images to detect quality deviations in real time. When a deviation exceeds tolerance, it triggers a quality hold.

An autonomous agent monitors discharge events, triggers personalized follow-up sequences (medication reminders, appointment scheduling, symptom check-ins), detects early warning signals.

An autonomous agent monitors incoming work orders, outage reports, and inspection schedules, then optimizes crew assignments by location, skill certifications, equipment on truck, and priority.

An AI agent classifies incoming requests by type and urgency, routes them to the correct department or caseworker based on topic and jurisdiction, sets SLA timers.

An agent continuously monitors the resource pool (skills, certifications, availability, utilization, client history) and incoming project requirements. When a new project is confirmed, it proposes optimal team compositions.