ibl.ai deploys purpose-built AI agents that connect alumni data, personalize donor outreach, and standardize advancement workflows across every campus in your state university system — without replacing the tools your teams already use.
State university systems face a unique advancement challenge: dozens of campuses, each with its own CRM data, alumni records, and fundraising culture — but no unified intelligence layer to connect them.
Donor journeys fall through the cracks between campuses. A major gift prospect at one institution may be an active annual donor at another, yet advancement officers have no visibility across the system.
The result is duplicated outreach, missed cultivation moments, inconsistent alumni experiences, and a system-wide inability to benchmark performance or share best practices at scale.
Alumni records live in separate CRMs, Banner instances, and spreadsheets across campuses, making system-wide segmentation and personalized outreach nearly impossible.
73% of advancement teams cite data silos as their top barrier to donor engagementAlumni who attended multiple system campuses or have family connections across institutions receive disjointed, sometimes conflicting communications from different advancement offices.
Inconsistent outreach reduces donor retention rates by up to 20%Without AI-assisted prospect research, major gift officers rely on manual wealth screening cycles that can miss time-sensitive giving signals and liquidity events.
Manual prospect research takes 6–12 hours per prospect on averageAnnual giving teams send batch-and-blast communications with minimal personalization, resulting in low open rates and declining participation among younger alumni cohorts.
Average alumni annual giving participation at public universities is under 8%Advancement events — reunions, donor receptions, regional gatherings — require significant staff coordination with no intelligent layer to automate invitations, RSVPs, or post-event follow-up.
Staff spend up to 40% of event prep time on manual communication tasksAn AI agent that aggregates alumni and donor data across all campuses, surfaces unified donor profiles, and flags cross-campus giving opportunities — all within your existing CRM infrastructure.
AI-generated, segment-specific appeal content tailored to each alumnus's campus, graduation year, giving history, and engagement signals — deployed at scale without added staff.
Purpose-built agents monitor wealth signals, engagement activity, and giving capacity indicators to automatically prioritize prospects and prompt gift officers with next-best-action recommendations.
Conversational AI agents engage alumni through personalized touchpoints — career milestones, event invitations, volunteer opportunities — maintaining warm relationships between formal campaigns.
Agents handle event invitation sequencing, RSVP tracking, personalized reminders, and post-event stewardship follow-up, reducing manual coordination across advancement offices.
A system-level analytics agent that standardizes advancement KPIs across campuses, enabling leadership to benchmark performance, share winning strategies, and allocate resources intelligently.
Map existing CRM systems, Banner instances, and alumni databases across all campuses. Establish secure data connectors and define a unified donor data schema for the system.
Configure and deploy AI agents for annual giving, major gift cultivation, and alumni engagement at two to three pilot campuses. Train advancement staff on agent workflows and oversight tools.
Expand all configured agents to remaining campuses. Activate cross-campus benchmarking dashboards and event management automation. Standardize advancement workflows system-wide.
Agents learn from campaign outcomes, donor responses, and engagement data to continuously improve targeting, messaging, and cultivation timing across the system.
Siloed CRM records across campuses with no unified view of alumni giving history or cross-campus relationships
Unified donor intelligence layer that surfaces complete alumni profiles and cross-campus giving signals in real time
Batch-and-blast email campaigns with generic messaging and low personalization, managed manually by campus staff
AI-generated, individually personalized appeals deployed automatically based on each alumnus's engagement profile and giving history
Gift officers rely on periodic manual wealth screenings and intuition to prioritize prospects, missing time-sensitive signals
AI agents continuously monitor giving capacity signals and prompt officers with prioritized prospect lists and next-best-action recommendations
Staff manually coordinate invitations, RSVPs, reminders, and post-event follow-up across dozens of events per year
AI agents automate the full event communication lifecycle, freeing staff to focus on relationship-building and strategy
Each campus reports advancement metrics independently with no standardized benchmarks or system-level insight
Real-time cross-campus benchmarking dashboards enable system leadership to identify top performers and replicate best practices
The core platform for building, deploying, and managing purpose-built advancement agents across all campuses — including donor intelligence, cultivation, and engagement agents — on your own infrastructure.
Powers AI-generated, personalized donor communications for annual giving campaigns, major gift cultivation sequences, and event invitations tailored to each alumnus's profile and history.
Enables skills-based alumni engagement by recognizing and credentialing continuing education and professional development activity, creating new touchpoints for advancement teams to re-engage alumni.
See how ibl.ai deploys AI agents you own and control—on your infrastructure, integrated with your systems.