Evidence before enthusiasm.
We examine where AI is useful, where it disappoints, and what public institutions need to make informed decisions.
Ten independently researched streams
Every stream has its own brief, queries, source coverage, archive review, run status and synthesis. Law enforcement, courts and corrections sit in Public Safety; fire, EMS, dispatch and disaster response sit in Emergency Services. Education streams cover higher education except K–12, which covers school-age learning and district operations. Cross-tagging connects justified overlaps to one canonical resource.
Selection and source discipline
Prioritize new or newly relevant material since each stream’s last completed research. Inspect source content and review the archive before selection. Repeated sources need a meaningful update and an explanation. Include useful, mixed, cautionary and emerging outcomes. A research cycle may find no qualifying new evidence; a failed run is never labeled as that result.
Cover knowledge work, developers, copilots, agents, workflow integration, deployment and infrastructure, data, governance, security, privacy, procurement, accessibility, workforce and operating models. Government records, evaluations, academic work, independent research, public-sector associations, standards, credible reporting and attributed vendor material each have a place.
Evidence classes
- Government evaluation
- A public body’s measured evaluation or documented pilot.
- Government audit
- An oversight review of performance, controls, or operations.
- Academic research
- Research produced through an academic institution or peer-reviewed venue.
- Independent research
- Research conducted outside the implementing organization.
- Public-sector association guidance
- Practitioner guidance or an association-supplied case; not independent outcome evidence.
- Independent reporting
- Independent reporting with attributable sources but without a formal evaluation design.
- Standards or public-body guidance
- Normative or advisory guidance from a standards body or public institution.
- Vendor claim
- A supplier-provided assertion that has not been upgraded to independent evidence.
Outcome classes
- Effective
- Evidence supports a useful result within the tested scope.
- Mixed
- Benefits and material limitations appear together.
- Cautionary
- The record surfaces failure, risk, or a control gap.
- Emerging
- A developing practice or claim without measured outcomes.
Findings and interpretation
Keep source findings, operator or vendor claims, and our interpretation distinct. Measured outcomes travel with the method, baseline, sample and limitations where available. International findings include limits on transfer to U.S. SLED institutions. Recommendations for sales, pre-sales engineering and delivery describe what the specific evidence supports, and where applicability is limited.
Cross-source patterns reference actual resource IDs. We publish distinct patterns supported by multiple sources and never pad an edition. NVIDIA developments are assessed on their own evidence; a SLED application is described only where relevant.
Archive and attribution
The seven original SLED-wide editions retain their dates, issue numbers and original analysis. Later role enrichment is explicitly dated and labeled as interpretation based on the archived evidence. An unknown historical publication or retrieval date stays unknown.
Lighthouse Advisory publishes this independent resource. The visual design takes inspiration from Presidio’s public website; this does not imply Presidio endorsement or ownership of the research. Original sources remain attributed to their publishers.