Top 10 AI Prompts and Use Cases and in the Government Industry in Solomon Islands

The Solomon Islands - a small, dispersed nation facing tight budgets, stretched ministries and acute climate risks - can get immediate wins from practical AI: automating repetitive admin tasks to free scarce staff, using predictive models for faster disaster alerts, and tapping satellite analytics for coastal and mangrove monitoring.

Pacific Advisory's analysis shows how automation and predictive analytics help small governments streamline workflows and resource allocation (Pacific Advisory analysis: Empowering Small Governments), while SPC's Digital Earth Pacific demonstrates concrete AI tools for environment and blue‑carbon tracking that are directly relevant to Solomon Islands' resilience needs (SPC Digital Earth Pacific: AI for environment and blue‑carbon tracking).

Building local skills is essential for sovereignty and safe adoption - practical training such as the AI Essentials for Work bootcamp helps civil servants learn to write prompts, deploy chatbots and use AI responsibly (Nucamp AI Essentials for Work bootcamp syllabus and details), turning promising tools into real services for communities.

Bootcamp	Length	Early bird cost	Registration
AI Essentials for Work	15 Weeks	$3,582	Register for AI Essentials for Work (Nucamp)

Selection of the Top 10 AI prompts and use cases for Solomon Islands followed a practical, context-first filter: priority went to interventions that deliver fast, low‑cost wins (automation of repetitive admin work and chatbots that turn reams of paper forms into instant answers), strengthen climate and disaster resilience through predictive analytics, and respect data sovereignty and local capacity building.

Choices were informed by regional analysis recommending rapid action for SIDS and equipping ministries with tools that enhance policy and services (ODI report on adopting AI and advanced technologies for Small Island Developing States), by Pacific Advisory's emphasis on automating workflows, predictive models and decision support for small governments (Pacific Advisory analysis on AI for capacity-constrained small governments), and by practical cost‑saving examples such as procurement optimization and fraud detection that free budget for frontline services (case study on procurement optimization and fraud detection in government).

The methodology also favoured interoperable, co‑designed solutions to avoid vendor lock‑in, evidence‑based pilots that work with limited data, and stepwise training to build local AI skills so ministries can own and scale what works.

“equipping all ministries with AI tools to enhance policy making and services.”

The National Disaster Council can turn scattered warning channels into a single, actionable system by combining cloud-based, mutualized Multi‑Hazard Early Warning Systems with satellite-based monitoring and simple field sensors - a low-footprint approach proven for SIDS. Intersec's recommendation for a centralized, cloud MHEWS that validates inputs and helps non‑technical decision‑makers craft clear alerts is a practical roadmap for Solomon Islands, while NASA's ARSET satellite training shows exactly how to use open satellite products and Google Earth Engine to assess pre/post‑storm impacts and sea‑level trends for small islands (cloud-based Multi‑Hazard Early Warning Systems for Small Island Developing States, NASA ARSET satellite observations training for analyzing natural hazards in small islands).

UNEP's Pacific work - installing automatic weather stations and buoys that report wave height in real time - underlines a simple truth: when reliable observations reach a common platform, alerts go from messy to lifesaving, even across dozens of dispersed islands (UNEP Pacific early warning systems and automatic weather station case studies), and that's the “so what?” for the Solomon Islands - faster, clearer warnings that actually save lives.

Project	Funding
WMO CREWS Multi‑Hazard Early Warning Systems project (CREWS MHEWS)	CAD 10,000,000 (+ CAD 3,300,000 CREWS fund)

“Small‑island states are paying the price for decades of climate inaction by the rest of the world.”

For Solomon Islands' Ministry of Health and Medical Services, practical AI can brighten two critical fronts: early detection inside hospitals and smarter community triage before patients travel between islands.

Automated lab‑based outbreak detection - like the CLUSTER approach that scanned routine clinical lab results and cut outbreak size by 64% in trial hospitals - offers a low‑cost, high‑impact early warning system that prompts standard response protocols the moment patterns emerge (CLUSTER automated outbreak detection system).

At the same time, patient‑facing digital triage can reduce needless visits and gather population symptom data for surveillance, though large reviews caution that quality and demand‑reduction effects vary by design and access (JMIR scoping review of pandemic self‑triage tools).

Cutting across both approaches, AI models that combine routine clinical data (and even metabolomics where available) can predict disease severity and estimate hospital stay within about a five‑day margin, helping scarce clinical teams prioritise care and scarce beds (Yale AI‑powered triage platform for outbreak response).

For dispersed island health systems the payoff is tangible: earlier alerts, clearer transfer decisions, and fewer surprise surges at referral hospitals - if tools are carefully validated, integrated with lab workflows and equitably accessible across communities.

Finding	Key result
CLUSTER automated detection	Reduced outbreak size by 64% in trial across 82 hospitals
Yale AI triage platform	Predicts severity and estimates hospital length of stay (≈5‑day margin)
JMIR self‑triage review	Widespread deployment but mixed evidence on reducing system demand

“Being able to predict which patients can be sent home and those possibly needing intensive care unit admission is critical for health officials seeking to optimize patient health outcomes and use hospital resources most efficiently during an outbreak.”

Citizen-facing chatbots and a simple case‑management queue can cut the friction around birth, death and marriage paperwork by guiding applicants through the official birth registration form on the My SIG Services Portal and by auto‑validating fee and evidence requirements listed in open registries; for example, registry listings show a SBD 10 fee for birth certificates (and on‑time death registration is free, with a SBD 10 late fee) while marriage filings and certificates each carry SBD 10 charges (Solomon Islands My SIG Services Portal - Birth Registration Form, Directory of Open‑Source Registries for Solomon Islands - Fees & Forms).

Automation also pairs well with the move to digital civil registration that promises easier identity traceability and service access, and it can route tricky cases to staff at the Registrar General's Office (Hibiscus Avenue, Honiara; phone 23002; jtaranga@rgo.gov.sb) while preserving rich records - down to exact time of birth - so provenance and legal identity remain robust (Solomon Islands Registrar General contact and civil registration details).

Registry / Service	Fee / Note
Birth registry	SBD 10.00 (application form available)
Death registry	On‑time registration: free; Late registration: SBD 10.00
Marriage registry	Filing notice: SBD 10.00; Issuing certificate: SBD 10.00

The Ministry of Fisheries and Marine Resources can use practical AI to speed up policy drafting and regulatory analysis by turning dense rulebooks and stakeholder inputs into clear, actionable drafts - think of compressing NOAA's sprawling Fisheries Management Policy Directives (which range from short, 2‑page notices to 65‑page operational guidelines) into an annotated checklist for drafters and reviewers (NOAA Fisheries policy directives).

AI-assisted tools can auto‑extract requirements for emergency rules, public‑comment procedures and bycatch or allocation clauses, cross‑check them against local law and AFS‑style procedural norms for deliberation and resolutions, and surface conflicts that need human judgment (American Fisheries Society operational policies and procedures).

Coupling that with practical eGovernment playbooks and procurement/fraud‑detection insights helps ensure regulatory drafts are implementable, auditable and cost‑aware - so ministries spend less time chasing paperwork and more time protecting coastal fisheries and livelihoods (eGovernment integration strategies for Solomon Islands), a change as tangible as swapping hours of PDF reading for a single, prioritized action list for decision makers.

Directive	Topic	Pages (example)
01-101-03	Operational Guidelines for the MSA Process	65
01-101-10	Framework for Best Scientific Information Available	12
01-101-07	Policy Guidelines for the Use of Emergency Rules	5

For the Ministry of Environment, practical AI tools paired with new satellite sensors can finally make the vast Solomon Islands' maritime domain visible and enforceable: synthetic‑aperture radar (SAR), RF sensing and AIS analytics flag “dark” vessels that switch off transponders or transship catches, letting authorities focus scarce patrols where they matter most rather than sweeping entire ocean zones.

Recent global studies show fully protected marine reserves see far fewer industrial vessels, and AI‑fused satellite products can spot ships even at night or through clouds - turning a single radar image that covers thousands of square kilometres into a real‑time tip for enforcement teams.

Regional capacity already exists to scale this: Australia's contract with HawkEye 360 to pilot RF maritime analytics for the Pacific Islands Forum Fisheries Agency (based in Honiara) is a direct pathway for the Solomon Islands to get data, training and cloud analytics it can use with partners like OceanMind or Global Fishing Watch to target IUU activity and protect fisheries and coastal livelihoods (Research: Satellite imagery and AI show strict marine protected areas reduce illegal fishing, HawkEye 360 RF maritime analytics pilot for Pacific Islands Fisheries Agency).

The payoff is practical: fewer wasted patrol days, stronger MPA compliance, and more fish spilling over to local coastal fishers.

Finding	Result
MPAs with no commercial fishing	78.5% of 1,380 MPAs showed no activity
Protection effect	Strict MPAs ~9× fewer vessels than unprotected areas
AIS vs SAR	AIS missed almost 90% of SAR‑based detections in some MPAs

“The ocean is no longer too big to watch. With cutting‑edge satellites and AI, we're making illegal fishing visible and proving that strong marine protections work.”

The Ministry of Finance and Treasury can turn routine spending reviews into a proactive, data-driven defence against waste and corruption by combining anomaly detection, link analysis and pragmatic business rules - a hybrid approach that both flags suspicious tenders and prioritises smart audits.

Recent studies show the Isolation Forest and similar unsupervised models are a common, effective technique for spotting odd procurements (EPJ Data Science mapping of fraud detection methods), and an interoperable implementation using the Open Contracting Data Standard produced over 90% accuracy in a Paraguay case study by detecting known protests and complaints as anomalies as early as the tender stage (IEEE case study: anomaly detection with OCDS).

Industry practice recommends a layered stack - rules, peer‑group anomaly scoring, text‑mining of tender documents and link analysis of addresses/accounts - so investigators see high‑risk contracts that jump several standard deviations from the norm or show

“stair‑stepping” invoice patterns

, rather than chasing false positives (SAS: hybrid analytic approach to prevent procurement fraud).

For Solomon Islands this means prioritised reviews, faster intervention before payment, and more public funds preserved for frontline services - turning scattered procurement records into an early‑warning system for financial integrity.

Technique	Evidence / Benefit
Isolation Forest / anomaly detection	Common in literature; effective for procurement anomalies (EPJ mapping)
OCDS + Unsupervised model	Paraguay case: >90% accuracy detecting known anomalous processes (IEEE)
Hybrid analytics (rules, text mining, link analysis)	Reduces false positives, uncovers collusion and complex schemes (SAS)
Analytics adoption	Many organisations still manual; analytics can prioritise scarce audit resources

Curriculum personalization in the Solomon Islands should build on vibrant, locally led literacy work already underway: Library For All's remote literacy initiative demonstrates the power of locally authored, culturally relevant books in Pacific languages (Library For All Solomon Islands remote literacy initiative), SINU's partnership with the Kulu Language Institute is creating a national centre for Indigenous languages and practical vernacular curricula that teachers can actually use in classrooms (SINU and Kulu language partnership in the Solomon Islands), and Bible Society programs show how flexible delivery - short, two‑hour classes scheduled around market and fishing routines - boosts uptake and community relevance (Open My Eyes literacy program in the Solomon Islands).

These examples point to a practical Ministry strategy: seed open repositories of vernacular texts, train community volunteers and primary teachers in language‑aware pedagogy, and adopt lightweight, classroom‑level tools that let teachers tailor lessons by first language and daily life - so every child gets learning that starts from their home tongue and habits, not from a one‑size‑fits‑all textbook.

“If I reject my language, I reject myself.”

Solomon Islands' Ministry of Infrastructure and Development can squeeze far more life from ageing roads, bridges and water systems by pairing low‑cost sensors, simple dashboards and phased AI pilots that focus on a few high‑risk assets first: start with three to five critical assets, score them by probability and consequence, then use trend dashboards (green/yellow/red) to trigger preemptive work rather than emergency fixes, as recommended for small utilities and asset managers (Predictive maintenance for small water utilities implementation guide).

Practical toolkits - IoT vibration and strain sensors for bridges and roads, pressure and tank‑level monitors for water networks - and edge/cloud analytics let models spot subtle changes in strain, displacement, vibration and temperature so crews are dispatched before a failure cascades into a multi‑island outage (AI-driven bridge monitoring solutions for strain and vibration analytics; Predictive infrastructure maintenance with sensors, machine learning, and scheduling).

Where ground sensors are sparse, satellite‑driven monitoring accelerates leak and network anomaly detection dramatically, providing a macro layer to target scarce patrols and justify capital plans.

The result is tangible: fewer emergency repairs, longer asset life and budgets that stretch further - turning guesswork into a prioritized, auditable maintenance plan that decision makers can justify to funders and communities.

Practice Type	Estimated Water Savings (%)	Estimated Cost Reduction (%)	Maintenance Interval (Months)
Traditional	5–10	3–8	3–6
Satellite‑Based Predictive Maintenance	20–35	18–30	8–12

“Satellite-driven predictive maintenance can detect water leaks up to 90% faster than traditional ground-based methods in 2025.”

Clear, trusted bilingual communication - English ↔ Pijin - must be a pillar of Solomon Islands' civic messaging: practical steps include simplifying official messages first, building a small repository of professionally translated emergency templates, and ensuring any machine or server‑proxy translation is reviewed by qualified local reviewers before publication (see Digital.gov's top 10 best practices for multilingual websites).

For fast warnings, adopt template‑based translations and community testing so alerts remain accurate and culturally relevant across dispersed islands - PreventionWeb's “Beyond barriers” report warns that an unchecked automated translation once directed people toward danger, a vivid reminder that human oversight saves lives.

Local capacity can scale this effort: a trained, paid “multilingual corps” of trusted Pijin‑English communicators embedded in communities handles door‑to‑door and shelter communications while technology handles routine updates and real‑time website syncs (see the Multilingual Corps approach).

Together these measures create redundancy - machine speed plus human accuracy - so evacuation orders, health alerts and service updates are findable, comparable across languages, and trusted by the people they must protect.

“We learned that we had to simplify the English version first, then send it to the translators.”

The Public Service Commission can turn scattered HR spreadsheets into a living, decision‑ready labour market dashboard by consolidating personnel, payroll and vacancy data, then layering predictive models and scenario tools to forecast retirements, skill gaps and surge needs - a practical move shown to shift public agencies from reactive hiring to proactive staffing (see CentralSquare on predictive analytics for the public sector).

Partnering with an embedded analytics provider lets the PSC run “what‑if” scenarios for funding delays, elections or disaster surges and preserve institutional knowledge when waves of retirements hit (ZeroedIn's playbook on workforce partnerships), while workforce analytics uncover the specific skills to train or recruit and the retention levers that work locally (Lightcast).

Start small - pilot a continuity cluster, track a few priority roles, and use dashboards to prioritise training dollars - and keep one eye on a stark regional reality: more than 40% of public sector employees will need substantial reskilling by 2030, so the PSC's early analytics wins will pay off in smoother services and fewer scrambling hires.

Technique	Practical benefit	Source
Predictive analytics	Forecast staffing needs and allocate resources	CentralSquare – Forecasting and predictive analytics in the public sector
Scenario planning / embedded partnerships	Model uncertainty and maintain continuity	ZeroedIn – Government workforce partnerships in times of uncertainty
Workforce analytics	Identify skills gaps, retention risks and training ROI	Lightcast – Workforce analytics overview

“I would recommend Nakisa … fully integrate to our ERP system in real-time and handle ongoing transformation needs.”

Getting started in the Solomon Islands means pairing low‑risk pilots with strong data foundations: pick one or two “quick win” projects (for example a chatbot for Registrar services or a small Multi‑Hazard Early Warning pilot) that align to clear operational goals, embed data‑governance‑by‑design from day one, and budget for human review and training so automation amplifies local staff rather than replacing them; the Government AI Readiness Index highlights that smaller economies are increasingly publishing AI strategies and can leapfrog by focusing on governance, data and practical pilots (Government AI Readiness Index 2024 - Oxford Insights).

Avoid PoC paralysis by starting small and designing for scale - measureable success, cross‑functional teams and costed cloud plans turn prototypes into production systems (a common blueprint for GenAI scaling).

Invest in staff skills now: short, practical training for civil servants in prompt writing and tool use accelerates safe adoption, for example the AI Essentials for Work bootcamp that teaches workplace AI skills in 15 weeks (AI Essentials for Work syllabus - Nucamp (15-week workplace AI bootcamp)).

Finally, partner regionally for shared data products and operational support - solid pilots, clear objectives and trusted training make AI a tool for resilience and better services, not a mystery project.

Program	Length	Early bird cost	Register
AI Essentials for Work	15 Weeks	$3,582	Register - AI Essentials for Work (Nucamp)

“Data security, privacy, and timely data activation are all critical for public sector organisations. It is important that data is visible and usable for business purposes.”