This discovery framework is designed to help facilitate a collaborative conversation regarding Salesforce Agentforce. By exploring these operational scenarios, Public Libraries can accurately assess internal workflows and identify how specific Agentforce autonomous capabilities can support their unique civic and administrative needs, starting with areas of highest impact to budget allocation, operational scaling, and patron access to resources.
How does the library scale administrative triage to prevent revenue loss during peak facility rental and program registration periods?
Scenario A: Gridlocked Revenue Streams
"When summer reading registration opens, our call centers are completely overwhelmed. Patrons abandon the queue when trying to book paid community rooms, resulting in thousands of dollars in lost facility rental revenue."
Scenario B: Overreliance on Expensive Outsourcing
"We hire a third-party vendor to handle overflow calls during the back-to-school season. It costs the county a fortune, and their agents still have to escalate half the calls back to our librarians because they lack deep catalog access."
What protocols are in place to ensure real-time, accurate public communication during sudden facility closures or system-wide digital outages?
Scenario A: Delayed Emergency Dissemination
"When our main digital catalog crashed during finals week, it took our IT team an hour to draft and post an alert. The public hotline collapsed, and thousands of students were left without critical research access."
Scenario B: Inconsistent Staff Responses
"During winter storms, we put every available clerk on the phones. Because they are pulling information from different branch managers, they frequently give patrons conflicting information regarding which specific locations are closing early."
How does the library triage and route incoming patron requests for specialized research assistance or interlibrary loans?
Scenario A: Buried Academic Requests
"University students submit complex archival research requests through our web portal, but those reports sit in a generic inbox alongside requests for Wi-Fi passwords. High-value academic queries are frequently missed or severely delayed."
Scenario B: Manual Routing Delays
"A clerk reads every submitted contact form and manually tries to figure out which regional branch holds the specific genealogical records the patron needs. It is incredibly slow and highly prone to human error."
In what ways are complex patron account disputes, such as contested replacement fees for lost materials, investigated and resolved?
Scenario A: Stalled Revenue Recovery
"When a patron disputes a hefty replacement fee for out-of-print books, our staff has to manually pull borrowing logs, return bin records, and branch transfer histories to prove the claim. The backlog is costing us significantly in unrecovered materials."
Scenario B: Inconsistent Fine Waivers
"Our desk clerks have the authority to waive late fees, but they lack a quick way to verify the patron's historical compliance. Waivers are often granted inconsistently based on a quick glance at the active account."
How does the procurement team process and evaluate the overwhelming volume of bids submitted by private educational software and IT vendors?
Scenario A: Missed Compliance Thresholds
"We receive hundreds of 50-page proposals for new digital archiving systems. Our reviewers suffer from fatigue and recently approved a bid from a vendor who buried the fact that their data privacy certifications had expired."
Scenario B: Laborious Bid Comparisons
"To compare three finalists for a county-wide Wi-Fi upgrade, our analysts have to spend days manually extracting line-item costs from PDFs to build a side-by-side comparative spreadsheet for the library board."
What methods are employed to guide patrons through highly complex digital interactions, such as applying for specialized e-reader access or academic database credentials?
Scenario A: High Abandonment Rates
"Our application forms for accessing university research databases are confusing. 60% of them are abandoned halfway through because patrons don't understand how to verify their academic affiliations, lowering our digital engagement metrics."
Scenario B: Call Deflection Failure
"We built an FAQ page to help people understand the new audiobook lending app, but it is too dense. Patrons get overwhelmed reading the technical instructions and just call the branch hotline instead."
How does the agency surface and interpret predictive maintenance alerts generated by connected facility infrastructure, such as HVAC or security systems?
Scenario A: Alert Fatigue
"Our historic branches generate hundreds of minor climate control diagnostic codes every day. Our maintenance staff suffers from alert fatigue and ignores the dashboard, which recently led to a ruptured pipe in the rare books archive."
Scenario B: Manual Repair Context
"When a diagnostic code indicates a failing elevator motor at a branch, the technician still has to manually look up the repair manual and check the central warehouse for parts availability before they can dispatch a crew."
What processes dictate how community outreach officers compile and submit demographic impact reports for new library programs?
Scenario A: Funding Stoppages
"Officers dictate their field notes from community events, but frequently omit required state funding terminology. Programs are consistently delayed by grant regulators because our submitted impact reports lack precise demographic compliance language."
Scenario B: Tedious Report Generation
"After concluding a month-long mobile library initiative, an officer spends three full days at their desk synthesizing attendance logs, survey feedback, and historical census data into a cohesive program impact report."
How does the library ensure strict data governance and prevent hallucinations when deploying AI against sensitive patron reading histories?
Scenario A: PII Exposure Risks
"We experimented with a third-party generative AI tool to summarize patron borrowing trends, but realized the vendor's Large Language Model was retaining and training on our citizens' Personally Identifiable Information and reading habits."
Scenario B: Lack of Source Attribution
"When an AI tool gives our reference librarians an answer regarding a complex digital lending statute, it doesn't provide a citation. The librarian has to go double-check the policy manual anyway just to make sure the AI isn't hallucinating."
How is the IT department managing the backlog of internal requests to build custom workflows and automations for various regional branch managers?
Scenario A: Development Gridlock
"Our developers are completely bogged down writing code for basic internal processes, like automating the approval flow for purchasing new 3D printers. We cannot pivot our IT resources to work on high-value patron mobile apps."
Scenario B: Sluggish Code Reviews
"Even when our developers build an integration for the digital catalog, the peer review and testing phase takes weeks to ensure the code won't accidentally break the core ILS database."