<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom"><id>https://sled.lighthouseadvisory.consulting/feeds/campus-operations.xml</id><title>SLED AI Adoption Intelligence · Campus Operations</title><link rel="self" type="application/atom+xml" href="https://sled.lighthouseadvisory.consulting/feeds/campus-operations.xml"/><link rel="alternate" type="text/html" href="https://sled.lighthouseadvisory.consulting/streams/campus-operations"/><updated>2026-09-14T03:06:29.325Z</updated><author><name>Lighthouse Advisory</name></author><entry><id>https://sled.lighthouseadvisory.consulting/streams/campus-operations/editions/2026-09-13</id><title>Campus Operations · Issue 08 · 2026-09-13</title><link rel="alternate" type="text/html" href="https://sled.lighthouseadvisory.consulting/streams/campus-operations/editions/2026-09-13"/><updated>2026-09-14T03:06:29.325Z</updated><published>2026-09-13T00:00:00.000Z</published><summary>Three new archive additions examine IT chatbot benefit claims, administrative pilot expiry and independent tertiary IT control findings. One cross-source interpretation connects time-limited access to tested revocation. These undated or historical sources fill specific coverage gaps; no overnight news or causal AI savings is claimed. Gaps remain in net ROI, accessibility and labor outcomes, current remediation and new facilities evidence.</summary><content type="text">Three new archive additions examine IT chatbot benefit claims, administrative pilot expiry and independent tertiary IT control findings. One cross-source interpretation connects time-limited access to tested revocation. These undated or historical sources fill specific coverage gaps; no overnight news or causal AI savings is claimed. Gaps remain in net ROI, accessibility and labor outcomes, current remediation and new facilities evidence.

3 sources · 1 cross-source patterns

A pilot end date should trigger a tested access decision
Who approves continuation, who pays, and what test proves that unextended access was removed?</content></entry><entry><id>https://sled.lighthouseadvisory.consulting/streams/campus-operations/editions/2026-09-12</id><title>Campus Operations · Issue 07 · 2026-09-12</title><link rel="alternate" type="text/html" href="https://sled.lighthouseadvisory.consulting/streams/campus-operations/editions/2026-09-12"/><updated>2026-09-13T03:03:44.946Z</updated><published>2026-09-12T00:00:00.000Z</published><summary>Three newly archived sources examine embedded administrative AI readiness, IT/HR service responsibility and staff adoption denominators. One cross-source interpretation distinguishes feature availability, activation and actual use. These older sources fill specific archive gaps; no overnight development or causal savings is claimed. Independent audit access failed, and verified ROI, security, accessibility, workforce outcomes and new facilities evidence remain gaps.</summary><content type="text">Three newly archived sources examine embedded administrative AI readiness, IT/HR service responsibility and staff adoption denominators. One cross-source interpretation distinguishes feature availability, activation and actual use. These older sources fill specific archive gaps; no overnight development or causal savings is claimed. Independent audit access failed, and verified ROI, security, accessibility, workforce outcomes and new facilities evidence remain gaps.

3 sources · 1 cross-source patterns

An adoption count needs an explicit stage and denominator
Does the reported adoption measure count available features, activated services or recurring staff use, and what is its denominator?</content></entry><entry><id>https://sled.lighthouseadvisory.consulting/streams/campus-operations/editions/2026-09-11</id><title>Campus Operations · Issue 06 · 2026-09-11</title><link rel="alternate" type="text/html" href="https://sled.lighthouseadvisory.consulting/streams/campus-operations/editions/2026-09-11"/><updated>2026-09-12T03:04:04.733Z</updated><published>2026-09-11T00:00:00.000Z</published><summary>Three new archive additions examine simulated data-center cooling gains, La Trobe&#39;s campus energy measurement platform and a preprint review of validation gaps. One cross-source interpretation separates subsystem optimization from a complete campus investment result. Sources predate the latest run and fill specific infrastructure evidence gaps, not overnight news. No causal campus ROI, independently verified security, accessibility or labor outcome is established.</summary><content type="text">Three new archive additions examine simulated data-center cooling gains, La Trobe&#39;s campus energy measurement platform and a preprint review of validation gaps. One cross-source interpretation separates subsystem optimization from a complete campus investment result. Sources predate the latest run and fill specific infrastructure evidence gaps, not overnight news. No causal campus ROI, independently verified security, accessibility or labor outcome is established.

3 sources · 1 cross-source patterns

A cooling objective is only part of a campus investment result
Does the proposed optimization improve the campus service after all relevant costs and resource effects, or only the chosen subsystem metric?</content></entry><entry><id>https://sled.lighthouseadvisory.consulting/streams/campus-operations/editions/2026-09-10</id><title>Campus Operations · Issue 05 · 2026-09-10</title><link rel="alternate" type="text/html" href="https://sled.lighthouseadvisory.consulting/streams/campus-operations/editions/2026-09-10"/><updated>2026-09-11T03:04:31.874Z</updated><published>2026-09-10T00:00:00.000Z</published><summary>Three newly archived sources examine campus benefit measurement and governance: UT Austin&#39;s salary-valued staff capacity, UAEU&#39;s analytically modeled HR workflow gains, and an international review of governance-outcome evidence. One cross-source interpretation separates valuation assumptions from observed operating returns. All sources predate the last run and fill specific archive gaps rather than represent overnight developments. Gaps remain in causal net savings, independently verified security, accessibility, workforce outcomes and new facilities evidence.</summary><content type="text">Three newly archived sources examine campus benefit measurement and governance: UT Austin&#39;s salary-valued staff capacity, UAEU&#39;s analytically modeled HR workflow gains, and an international review of governance-outcome evidence. One cross-source interpretation separates valuation assumptions from observed operating returns. All sources predate the last run and fill specific archive gaps rather than represent overnight developments. Gaps remain in causal net savings, independently verified security, accessibility, workforce outcomes and new facilities evidence.

3 sources · 1 cross-source patterns

State what was measured before putting a dollar value on a benefit
Which benefit is directly observed, which is modeled, and what expenditure or service result changed after all operating costs?</content></entry><entry><id>https://sled.lighthouseadvisory.consulting/streams/campus-operations/editions/2026-09-09</id><title>Campus Operations · Issue 04 · 2026-09-09</title><link rel="alternate" type="text/html" href="https://sled.lighthouseadvisory.consulting/streams/campus-operations/editions/2026-09-09"/><updated>2026-09-10T03:04:55.217Z</updated><published>2026-09-09T00:00:00.000Z</published><summary>Three newly archived sources cover Buffalo&#39;s planned AI-center heat recovery, NC State&#39;s facilities analytics service and Jisc&#39;s agent-autonomy discussion. None demonstrates causal AI savings. One cross-source interpretation addresses the transition from recommendations to authorized actions. These older or undated sources fill specific archive gaps, not overnight news. A new Australian audit could not be opened and is excluded. Gaps remain in independent evaluation, net ROI, empirical security, accessibility and labor outcomes.</summary><content type="text">Three newly archived sources cover Buffalo&#39;s planned AI-center heat recovery, NC State&#39;s facilities analytics service and Jisc&#39;s agent-autonomy discussion. None demonstrates causal AI savings. One cross-source interpretation addresses the transition from recommendations to authorized actions. These older or undated sources fill specific archive gaps, not overnight news. A new Australian audit could not be opened and is excluded. Gaps remain in independent evaluation, net ROI, empirical security, accessibility and labor outcomes.

3 sources · 1 cross-source patterns

The transition from recommendation to action needs a named owner
Who approves a recommendation becoming an operational change, and which record shows that the change was checked and closed?</content></entry><entry><id>https://sled.lighthouseadvisory.consulting/streams/campus-operations/editions/2026-09-08</id><title>Campus Operations · Issue 03 · 2026-09-08</title><link rel="alternate" type="text/html" href="https://sled.lighthouseadvisory.consulting/streams/campus-operations/editions/2026-09-08"/><updated>2026-09-09T03:04:53.587Z</updated><published>2026-09-08T00:00:00.000Z</published><summary>Three newly archived sources examine campus AI data integration, facilities planning and procurement. Rowan documents semantic and query-control problems; EDUCAUSE/ACE interviews expose disclosure and capacity constraints; a Moroccan campus energy brief projects savings without establishing measured reductions. Two cross-source interpretations address operating context and lifecycle ownership. Sources predate the last run and fill explicit archive gaps rather than represent overnight news. Gaps remain in verified ROI, independently tested security, accessibility outcomes and inaccessible facilities methods.</summary><content type="text">Three newly archived sources examine campus AI data integration, facilities planning and procurement. Rowan documents semantic and query-control problems; EDUCAUSE/ACE interviews expose disclosure and capacity constraints; a Moroccan campus energy brief projects savings without establishing measured reductions. Two cross-source interpretations address operating context and lifecycle ownership. Sources predate the last run and fill explicit archive gaps rather than represent overnight news. Gaps remain in verified ROI, independently tested security, accessibility outcomes and inaccessible facilities methods.

3 sources · 2 cross-source patterns

Useful campus AI depends on explicit operating context
Which local definitions or operating regimes must the test preserve before an output can guide action?

An acquisition price is only one part of an operational service
Who funds and owns operation, revalidation and eventual replacement after the pilot budget ends?</content></entry><entry><id>https://sled.lighthouseadvisory.consulting/streams/campus-operations/editions/2026-09-07</id><title>Campus Operations · Issue 02 · 2026-09-07</title><link rel="alternate" type="text/html" href="https://sled.lighthouseadvisory.consulting/streams/campus-operations/editions/2026-09-07"/><updated>2026-09-08T03:07:29.798Z</updated><published>2026-09-07T00:00:00.000Z</published><summary>Four newly identified archive additions examine campus AI access, workforce readiness and benefit evaluation. Iowa and Wyoming describe funded experimentation and an enterprise platform selection; neither supplies completed operating results. EDUCAUSE survey evidence and a Westminster professional-services pilot provide scrutiny of policy awareness, ROI measurement and uneven perceived benefits. Two cross-source interpretations distinguish service readiness from access and perceived productivity from verified value. These sources predate the previous run and are included for explicit coverage gaps, not presented as overnight developments. Gaps remain in causal savings, independently tested security, accessibility outcomes and new facilities evidence.</summary><content type="text">Four newly identified archive additions examine campus AI access, workforce readiness and benefit evaluation. Iowa and Wyoming describe funded experimentation and an enterprise platform selection; neither supplies completed operating results. EDUCAUSE survey evidence and a Westminster professional-services pilot provide scrutiny of policy awareness, ROI measurement and uneven perceived benefits. Two cross-source interpretations distinguish service readiness from access and perceived productivity from verified value. These sources predate the previous run and are included for explicit coverage gaps, not presented as overnight developments. Gaps remain in causal savings, independently tested security, accessibility outcomes and new facilities evidence.

4 sources · 2 cross-source patterns

AI access programs need an operating service behind them
Which team funds and operates access after launch, and who approves the move from individual assistance to actions affecting institutional systems?

Positive experience should trigger evaluation, not substitute for it
What current-process baseline and quality standard will determine whether the assisted workflow produces net value after review, training and support?</content></entry><entry><id>https://sled.lighthouseadvisory.consulting/streams/campus-operations/editions/2026-09-06</id><title>Campus Operations · Issue 01 · 2026-09-06</title><link rel="alternate" type="text/html" href="https://sled.lighthouseadvisory.consulting/streams/campus-operations/editions/2026-09-06"/><updated>2026-09-07T03:15:06.868Z</updated><published>2026-09-06T00:00:00.000Z</published><summary>Five newly archived sources cover campus building controls, staff copilots, public-university governance and planned AI data-center power integration. The strongest independent evidence is a historical SUNY governance audit, contextualized by its later policy. Operator reports support bounded validation, not guaranteed ROI: MIT combines conventional controls with AI, Liverpool reports task-specific perceived savings, and SDSC&#39;s benefits remain projected. Three cross-source interpretations emphasize working controls, attributable benefit and service constraints. Gaps remain in causal ROI, current remediation, labor/accessibility outcomes and completed infrastructure results.</summary><content type="text">Five newly archived sources cover campus building controls, staff copilots, public-university governance and planned AI data-center power integration. The strongest independent evidence is a historical SUNY governance audit, contextualized by its later policy. Operator reports support bounded validation, not guaranteed ROI: MIT combines conventional controls with AI, Liverpool reports task-specific perceived savings, and SDSC&#39;s benefits remain projected. Three cross-source interpretations emphasize working controls, attributable benefit and service constraints. Gaps remain in causal ROI, current remediation, labor/accessibility outcomes and completed infrastructure results.

5 sources · 3 cross-source patterns

Policy adoption and operational assurance are separate milestones
Which currently operating control, owner and test record supports each claim that an audit issue is resolved?

Evaluate the underlying workflow before scaling AI
What does the improved non-AI process achieve, and what additional benefit remains after AI review, integration and support costs?

Power optimization needs explicit service constraints and measurement boundaries
Who can change the schedule, which service constraints are inviolable, and how will energy, demand and rebound be measured?</content></entry></feed>