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

AI is arriving in Solomon Islands real estate as a practical tool, not a distant dream: global research shows AI is already reshaping how people use buildings and where investors place capital, from data‑centre demand to smarter valuations (BlackRock report: The AI real‑estate opportunity), while industry guides highlight concrete use cases - predictive pricing, virtual tours and chatbots, fraud detection and automated lease review - that cut weeks of paperwork into minutes.

Local deployments will ride on regional cloud and edge partnerships to reach dispersed islands, and those who want to lead can build workplace AI skills: Nucamp's AI Essentials for Work bootcamp teaches prompts, tooling and applied workflows so teams in Honiara and beyond can implement virtual staging, 24/7 tenant chat and data‑driven market forecasts with confidence (AI Essentials for Work bootcamp syllabus).

Bootcamp	Length	Courses Included	Early Bird Cost	Registration
AI Essentials for Work	15 Weeks	AI at Work: Foundations; Writing AI Prompts; Job-Based Practical AI Skills	$3,582	AI Essentials for Work registration | Nucamp

“In real estate, you make 10% of your money because you're a genius and 90% because you catch a great wave.” - Jeff Greene

The methodology underpinning the Solomon Islands (SB) case draws on robust fieldwork: researchers combined on‑the‑ground interviews, expert consultations, observation and satellite imagery to connect human impacts with technical solutions - Human Rights Watch's full investigation documents interviews with more than 130 community members across Walande and other coastal villages (the report lists 139 Walande interviews and 44 from other impacted communities), plus a Walande subset of 63 participants (20 individual interviews and two gender‑specific focus groups), alongside 32 expert interviews and analysis of government documents, the Lowy Institute Pacific Aid Database, IPCC materials and NGO sources; fieldwork was carried out in English and Solomon Islands Pijin with some names anonymized for safety.

These mixed methods reveal precise, actionable problems - rusting seawalls from 2021, satellite imagery showing submerged land, insecure customary tenure - that inform practical AI priorities such as automated land‑recording, climate‑aware valuation and community‑facing chatbots (see the Human Rights Watch report and the ReliefWeb summary for methodology details).

Data type	Count / Notes
Walande community interviews	139 (report)
Other impacted communities	44
Walande subset	63 (20 individuals + 2 focus groups)
Expert interviews	32
Fieldwork languages	English; Solomon Islands Pijin
Additional sources	Satellite imagery, government docs, Lowy Institute database, IPCC, NGOs

“We look for higher ground - again.”

Automated property valuation for Walande and coastal plots on Malaita must reckon with customary tenure, shifting shorelines and valuation methods that were never designed for island realities; the commonly used Unimproved Capital Value (UCV) approach is widely accepted in the Pacific but

“highly inappropriate,”

so AI pipelines should prioritize alternatives such as market‑derived ground‑rent models for denser submarkets and residual methods for thin, non‑urban parcels, both of which can be codified into repeatable, auditable algorithms that ingest survey maps, frequent rental reviews and satellite indicators of inundation (recalling the rusting seawalls from 2021 that local fieldwork flagged as a valuation risk).

Practical rollout will need alignment with national practice and licensing - working with the Valuation Division's frameworks and registered valuers helps ensure legally defensible outputs - while international programs that invest in land systems offer models for scaling automated tools alongside social‑license processes.

For practitioners in Honiara and on Malaita, the immediate

“so what?”

is clear: moving beyond UCV with automated residual and ground‑rent models produces fairer rents for customary owners and more reliable signals for relocation, insurance and investment decisions (see Customary Land Solutions on valuation methods and the Ministry of Lands Valuation Division for institutional context).

Valuation method	When it suits Solomon Islands plots
Unimproved Capital Value (UCV)	Widely used but inappropriate for many customary or climate‑exposed parcels
Market‑derived ground rents	Urban or secondary rental markets where leases allow stripping improvements
Residual method	Complex or non‑urban properties and thin markets; aligns with economic land‑rent theory

Climate‑ and relocation‑aware market analytics for Tetele must merge community thresholds, remote sensing and governance-ready decision rules so forecasts become a practical roadmap for families and planners - not just another heatmap.

By combining satellite indicators of shoreline change with local thresholds and participatory planning (the AJEM operator's guide on managed relocation outlines how timing and messaging shape safer moves AJEM managed‑relocation guidance), models can flag markets where rents, insurance pricing and land‑value signals will shift long before a crisis.

Embedding a relocation governance framework - drawing on the components Bronen recommends for transparent, rights‑centred relocations - lets forecasts drive voluntary, phased moves and protect host communities and services (relocation governance framework).

The payoff is concrete: a Tetele forecast that warns a village years before seawalls fail turns reactive loss (and the fiscal shock of emergency buyouts) into planned, humane transitions.

“Because of coastal erosion, our communities are being threatened. People are forced to move, houses are collapsing into the ocean.”

Automating customary land‑record and tenure documentation in the Solomon Islands must start with the reality that land is more than property - it is story and identity, “as much a part of them as their DNA,” and roughly 85% of land sits in customary hands, so digital custody must mirror local kastom and inclusion processes; pilots by the Ministry of Lands with UNDP and the Peacebuilding Fund show that recording usage, boundaries and reconciliation in the field reduces the power of a few trustees and opens opportunities for women and youth to share in benefits (see the customary land recording pilot).

Smart, cloud‑enabled registers can capture oral histories and formalize usage agreements while producing auditable records that make royalty flows and relocation entitlements transparent - critical lessons from the Gold Ridge case where mining leases on customary land and trustee arrangements concentrated rents and complicated resettlement.

When designed around community workflows and accessible Pijin interfaces, automated customary registers become a practical tool to distribute development benefits equitably, speed dispute resolution, and link recorded rights to planning or valuation systems rather than replace kastom (read the Gold Ridge landowner royalty shares and the UNDP customary recording overview for implementation context).

Landowning Tribe / Line	Royalty %
Rausere	36.500 %
Charana	6.300 %
Kaokao	6.300 %
Roha	6.300 %
Sutahuri	6.300 %
Vatuviti	6.300 %
Halisia	6.200 %
Soroboilo	6.200 %
Chacha	5.000 %
Sabaha	3.925 %
Salasivo	3.225 %
Chavuchavu	2.500 %
Kaipalipali	1.325 %
Koenihao	1.225 %
Lasi	1.200 %
Sarahi	1.200 %

“Having land rights recorded allows the landowners to utilize the land for development benefits not just for one person or family or a group of individuals, but everyone in the communities for years to come.”

Conversational agents tuned to Solomon Islands Pijin can turn relocation stress into steady, understandable support for Walande families by running on familiar messaging channels and handling routine tasks - lease queries, rent reminders, maintenance reports and real‑time ticketing - so that late‑night worries become logged, triaged actions instead of unanswered calls.

Platforms that embed tenant chatbots into messaging and web channels show how this works in practice: a Pijin‑capable assistant can gather a clear maintenance description, create a tracked ticket and tell tenants when a local crew is scheduled, freeing human teams to focus on complex disputes and social‑license conversations (see Robofy's tenant inquiry chatbot for examples of lease and maintenance automation and Leasey.AI on 24/7 messaging workflows).

Multilingual, escalation‑aware bots also protect privacy and standardize records for customary‑land contexts, helping managers keep everyone informed across islands without adding hours of work.

The payoff is vivid: an automated reply in Pijin that turns “Who will fix the seawall?” from a restless question into a scheduled appointment and an auditable ticket.

“Our customers have warmly embraced this opportunity and confirm the significant impact on their process speed.”

Automated property‑listing generation for Malaita - using template‑driven generators like Write.homes and Editpad - turns raw field notes and photos into searchable, conversion‑ready pages by baking in local SEO and image best practices from the start: include geo‑specific keywords and village names so Google My Business and the Map Pack can surface listings to nearby buyers, craft keyword‑rich filenames and alt text for every photograph, and serve responsive, compressed images (CDNs that convert PNGs to WebP speed pages on slow island connections).

Local marketing partners who know Solomon Islands search habits can help tune templates for regional phrasing and “near me” intent - see Sprite Genix's local SEO guidance for Solomon Islands - and follow the Real Estate Image SEO checklist for image captions, sitemaps and responsive sizing to lift listing visibility and engagement (ColorWhistle notes listings with 20+ photos and video sell about 32% faster).

The result: a Malaita listing that once lived as a single WhatsApp photo becomes a fast, discoverable page that ranks for local terms, loads on low bandwidth and gives buyers the clear context they need to act.

Practice	Benefit / Note
20+ photos & video	Sell ~32% faster (ColorWhistle)
Geo keywords, GMB & Map Pack	Improves local discoverability (Sprite Genix)

Virtual staging and AR/VR visualization turn the tired, single-photo listing into an island-ready, interactive experience that matters for Tetele and Walande: augmented reality runs on everyday phones so prospective tenants and host communities can overlay furniture, finishes or finished‑house models onto an empty room during a village visit, while full VR walkthroughs give distant relatives and planners a true sense of space without costly boat trips or multiple site visits (see practical AR/VR use cases and benefits in Fingent and VisEngine).

For Solomon Islands listings, that means faster market signals and far lower staging budgets - researchers and industry summaries show virtual staging can cut traditional staging costs dramatically and staged or virtual‑tour listings sell faster and attract more buyer interest (see Mindinventory on virtual staging benefits and the instant, low‑cost options highlighted by VirtualStagingAI).

When paired with mobile‑first photo SEO, lightweight 3D viewers and regional CDN strategies already recommended for Malaita listings, remote tours become more than a novelty: they speed decisions, reduce travel emissions and turn an empty, climate‑threatened house photo into a convincing, clickable story that helps families and planners act sooner rather than later.

Metric	Industry finding
Staging cost reduction	Virtual staging can reduce costs by up to ~97% (Mindinventory)
Faster sales / buyer interest	Virtually staged listings and virtual tours drive higher engagement and faster sales (see VirtualStagingAI / Bella Staging summaries)

KeyCrew‑style onboarding for community housing in the Solomon Islands should marry automated tenant checks with clear, local rules and human review so that island families - many with no credit score or with customary incomes - aren't excluded by opaque algorithms; practical steps include written screening policies, alternative income verification (pay stubs, bank statements or guarantors), short trial leases, and a Pijin‑friendly applicant flow that logs every decision for audit and dispute.

These measures reflect international best practices: screening criteria must be relevant and public, applicants should be able to dispute errors, and providers must avoid “name‑only” matches that misattribute records (see HUD fair‑housing screening guidance and Command Credit's screening best practices).

The risk is real: opaque scores and scraped eviction filings have left applicants waiting months for answers in documented cases, so automated workflows must default to human escalation and preserve fair‑housing safeguards rather than replace judgement.

For community landlords and NGOs, the payoff is concrete - faster onboarding with fewer wrongful denials, clearer records for customary tenure contexts, and a process that protects both income streams and renters' rights.

Metric	Finding
Landlords using screening	~90% review income, credit, rental/criminal history
Voucher applicants facing barriers	~1 in 10 denied or given extra hurdles
Role of minimum credit scores	Contributes to ~60% of rejections in simulations

“The increasing utilization of algorithmic technologies in this sector is just automating discrimination.” - Jasmine Rangel, PolicyLink

For a practical Tetele relocation, a six‑house microgrid becomes less theory and more lifeline: configured with rooftop PV, battery storage and a smart controller it can island from the grid during outages and dispatch resources to keep lights, communications and other essential services running while planners stage moves and repairs.

NREL's work on microgrid controls explains how a local controller must balance real and reactive power instantaneously and decide when to connect or disconnect from the main grid, while optimization studies for small communities show how PV, wind and batteries can be sized to minimize loss‑of‑supply risk and cost (see NREL's microgrid controls overview and a hybrid microgrid planning study).

Embedding simple energy‑management rules and a lightweight predictive controller - pairing forecasted solar with battery state‑of‑charge - turns six separate houses into a single, controllable

“island”

that reduces diesel dependence, lowers long‑term LCOE and gives relocated families the reliable power they need to settle in with dignity.

Configuration	PV (kW)	WT (kW)	Battery (kWh)	LPSP	LCOE ($/kWh)
Off‑grid (PSO)	197.47	30	609.73	4.5334%	0.3435
On‑grid (TSO)	62.79	60	-	≈0	0.1611

Snappt‑style screening - combining image forensics, tamper‑resistant location checks and device fingerprinting - offers a practical defence for Solomon Islands listings where a single doctored photo or spoofed address can expose a traveller or renter to real harm; marketplaces must balance this security with low onboarding friction because centralized address databases are patchy in the Pacific, and heavy-handed ID demands will chase away legitimate hosts (see listing verification best practices from Incognia listing verification best practices).

Image‑level checks and automated media forensics can flag manipulated photos or preexisting damage before a booking or sale, reducing reputational and financial losses and helping insurers and managers triage claims more accurately (Verisk digital media forensics tools illustrate this workflow).

At the same time, rising AI‑powered scams mean verification systems should feed into forensic and incident‑response playbooks so suspicious patterns prompt human review rather than blunt bans - protecting communities and maintaining access for customary landholders who lack formal records (CohnReznick cybersecurity overview on AI threats and digital forensics).

Optimising construction and project management for the Walande seawall and a 50‑house relocation is as much about coordination as it is about concrete: a well‑designed relocation dashboard brings budgets, contractor schedules, permitting and community communications into one place so decisions aren't spread across paper files and WhatsApp threads.

Practical rollouts will lean on regional cloud and edge partnerships to host resilient dashboards close to island users and enable faster AI‑assisted scheduling and change‑management (see regional cloud and edge partnerships), while vertical coordination principles from the SAFE Project workshop remind planners that biodiversity, land‑use and seascape stakeholders must be looped in early to avoid costly rework.

Pairing that operational backbone with mobile‑first tools - photographic progress logs and lightweight 3D models used for remote review - reduces site visits and keeps families informed during phased moves (see virtual staging and 3D tours), turning a complex relocation into a transparent, auditable programme that protects both infrastructure and community trust.

Responsible AI adoption in the Solomon Islands means pairing practical tools - chatbots that turn “Who will fix the seawall?” into a scheduled, auditable ticket or microgrid controllers that keep lights on during a relocation - with rights‑based governance, not tech first, policy later; currently the country has no AI‑specific law, so building local safeguards and clear rules is urgent (Artificial Intelligence law in the Solomon Islands - LawGratis).

Priorities should centre Free, Prior and Informed Consent, Indigenous data sovereignty and co‑creation so that Traditional Ecological Knowledge and customary land records are protected and communities lead decisions about data use (see principles in the WCS statement on Indigenous rights and AI).

Practical next steps: pilot interoperable, low‑bandwidth systems with FPIC built into procurement, train local teams to vet algorithms and prompts, and scale human+AI workflows through workforce programs - start with short, targeted courses such as the AI Essentials for Work syllabus - Nucamp AI Essentials for Work (15-week bootcamp) to equip planners, valuers and community liaisons with promptcraft and governance know‑how.

The aim is straightforward: harness AI to speed fair valuations, secure tenure, and plan humane relocations, while ensuring the technology amplifies community rights rather than replaces them.

“Without safeguards, AI risks a new form of colonization, coded in algorithms that shape our lives.” - Aluki Kotierk