HawaiiData.ai is a Honolulu team that helps businesses answer customers faster, take repetitive work off their staff, connect the systems they already use, and build software around the way they actually operate.
Every vendor is selling AI. None of them can tell you which tool is right for your business, your data, and your budget. We start with your actual problems, not the tech.
Healthcare, legal, government, finance — some information has rules about where it can go. Local or private deployment options are available, based on the agreed architecture.
Hawaiʻi businesses serve Japanese, Filipino, Korean, Portuguese, and Pidgin-speaking customers. We build multilingual AI that reflects your actual community.
Yes. A voice AI agent can answer, qualify, and route calls 24/7. Call 808·356·2990 right now — you'll be talking to ours.
Contracts, meeting notes, regulations, reports — we turn your document archive into a knowledge base your whole team can query in plain language.
Billing in one place, tickets in another, spreadsheets in between — and somebody re-typing it all. We connect the systems you already pay for.
You don't have to know which one you need. Show us the task, and we'll tell you whether it calls for AI, automation, plain software, or a mix — and where a person should stay in the loop.
Find out where AI actually fits before you spend on technology: hands-on setup and training on your own equipment, and an assessment that maps your workflows, sets baselines and KPIs, and gives you a roadmap.
AI that answers on the phone, web chat, and text — in the languages your customers speak — collects the details, and hands off to your team with the context already filled in.
A shared memory built on your approved contracts, procedures, and records — with answers that show their source. Add an AI CFO, Strategist, or Work Planner as you grow.
Take repetitive computer work off your team: sort incoming email, read documents and forms, move records between systems, route requests, and follow up — with a person checking the exceptions.
Sometimes the answer isn't a chatbot. We improve the tools you have, set up open-source software, build custom apps and integrations, and bring older systems forward with API bridges and data migration.
We host, monitor, and support what we build, show you usage and cost in plain units, review the KPIs we agreed on every month, and keep improving it.
Two ways we create value: we use AI to build useful software, and we put AI inside a service to help with ongoing work. Every card says which it is, and whether it's live, a customer project, a demo, or a concept.
A voice assistant on a real Hawaiʻi number: answers approved questions, transfers calls, captures leads, sends summaries, and holds multilingual conversations. Voice and SMS by AlohaTone.
The UHPA Support Agent answers members' questions about services, contracts, benefits, and resources from approved documents, and can email the conversation transcript.
Scheduled monitoring of Hawaiʻi Public Utilities Commission filings and notices: watchlists, AI summaries, email briefs, source links, and a searchable archive.
Case tracking for a practice whose agents phone elderly patients: call queues, contact attempts, clinical notes and task handoffs, with OpenEMR 8.4.1 integrated alongside it. Every screen writes an append-only audit entry — who looked, when, at which record. The public demo runs on 18,000 fictional patients; no real patient data touches the server.
Public incident data made searchable and visual: time and location filters, hotspot views, CSV/GeoJSON export, and location-based email alerts. Currently being refreshed.
A reservation system built with AI-assisted development — conventional software that runs on code. No AI model runs inside it, so there are no usage charges.
A community site for tennis, pickleball, and padel players to find compatible matches — an example from our AI-assisted development portfolio.
An established application rebuilt as a modern web app: understanding the existing process, migrating the data, and testing that results match. Access is for the customer.
When a ticket arrives, client details are pulled in so staff have the context to respond. Billing runs automated payment workflows. Built for our own ʻohana first.
Collects issue details through conversation and prepares a structured ticket for the right help-desk team. Try it on this site.
A rail-information assistant that could cite public records and distinguish different viewpoints. Shown as an illustration of source-backed answers.
Describe the deal; AI drafts the agreement, tracks approvals and signatures, and a person signs off. Scoped per project.
Procedures, contracts, meeting notes, and decisions in one workspace your staff can ask questions of — with the source shown. The same approach that powers Kumu.
Live = running today · Customer project = built for a client, access restricted · Internal project = built for our own companies · Demo = try it, illustrative data · Concept = not deployed.
Every project we take on fits this shape: a task your team does today, a solution that does most of it, a person who reviews what matters, and a number that tells us whether it worked.
Bring approved procedures, contracts, meeting notes, and decisions into one searchable workspace. Staff ask a question and get an answer with the source shown — tested on real cases, kept current on an agreed schedule, and escalated to a person when it isn't sure. It's the approach behind Kumu. From there, add a role: an AI CFO ("What changed in cash flow?"), an AI Strategist ("What are competitors changing?"), or an AI Work Planner ("What's overdue, and who owns the next step?") — each built on approved information, with human approval for anything consequential.
We can build the software, integration, workflow, or automation the business actually needs — internal apps, dashboards, API bridges, payment and SMS gateways, agreement workflows, open-source setups, and modernized versions of the systems you already rely on. AI speeds up how we build it; whether the finished product needs an AI model at all is a separate, honest decision.
Part of good AI consulting is knowing when not to use it. AI language models (LLMs) are great with language and judgment calls, but they can be wrong. Regular software follows fixed rules and gives the exact same answer every time. The best systems use both.
AI reads an incoming invoice and pulls out the vendor, amounts, and dates. Regular software checks the math, matches the purchase order, and posts it. A person approves anything that doesn't match.
Every engagement has a fixed scope, named deliverables, and an acceptance test we agree on before work begins — and none of them requires the others. Not sure where AI fits? Start with the Sprint. Know the workflow already? Go straight to the build. Pricing is quoted per engagement.
A configured workspace, two demonstrated workflows, a quick-reference guide, and a follow-up to review how it's going.
Three current-process summaries, a ranked opportunity list, feasibility and cost assumptions, a decision-level roadmap, and one pilot scope with KPIs.
A working integration, field map, operating and rollback instructions, and a Managed Care plan to keep it running.
A configured assistant, source inventory, answer policy, evaluation report, admin instructions, and team orientation.
A configured call flow, scripts, escalation map, test results, staff handoff guide, and usage controls.
A priced, fixed scope for the first release — or an honest no-go recommendation. Implementation is quoted separately.
Most businesses don't need a robot on day one. They need to know where AI fits. We map how the work gets done today, pick a useful first improvement, and agree on scope, KPIs, and where a person checks the work — before anything is built. AI can misread a request or give a wrong answer, so we test real cases before expanding.
What's working well — and what's making the business harder to run?
Where are the biggest costs, delays, and demands on your team's time?
Which improvement would matter most to customers, staff, or results?
For owners, executives, and staff. No AI experience needed.
A shared understanding across your team, the opportunities that fit your business, and clear questions to explore next.
For managers and process owners who want to know where AI fits and what it needs to work.
For when there's a defined task ready to hand to AI — your owner, users, and technical contacts work with us.
A working solution in the agreed scope, documentation, trained users, and a support plan.
Start at any tier — each one can stand alone. Scope, deliverables, schedule, and cost are agreed with you before work begins. See what we've built ↓
We learn what's working, what isn't, your biggest costs, and what your customers need. Together we pick the workflows worth a closer look.
We map those workflows, measure where they stand today, and compare quick wins with larger opportunities.
You get our findings, a proposed scope, estimated cost, timeline, milestones, and the KPIs we'll measure — agreed before any build.
We pilot with real cases, train your team, then host, support, and improve the solution with a monthly review.
Show us a task your team does every day. We'll tell you honestly whether AI is a fit, and where to start.
Every engagement is tailored to the people doing the work. Here's the honest version for eight roles: what shifts to AI, and what doesn't.
Strategy research, competitor tracking, financial scenarios, and executive briefs.
Stays with you: investment decisions, leadership, and staffing choices.
System inventories, integration options, documentation, and ticket triage.
Stays with people: architecture, access, security, and vendor accountability.
Mapping bottlenecks, capacity planning, scheduling, handoffs, and status follow-ups.
Stays with people: how the operation runs and who does what.
Turning goals into assignments, progress summaries, procedures, and coaching prep.
Stays with people: people decisions and ownership of exceptions.
Drafting emails, finding approved answers, summarizing documents, and preparing spreadsheets.
Stays with people: checking the output and handling what's unusual.
Capturing invoices, suggesting matches, assisting reconciliations, and drafting reports.
Stays with people: professional judgment and sign-off.
Searching manuals, reading logs, suggesting troubleshooting steps, and documenting repairs.
Stays with people: hands-on repairs and unfamiliar failures.
Finding resources and referrals, drafting case notes for review, and coordinating follow-ups.
Stays with people: client relationships, safeguarding, and service decisions.
A live SIP trunk bridges your PBX to an AI voice agent that listens, thinks, and talks back — with sub-second latency. Pick up your phone right now and try it.
Ring it from your cell. The bot will answer, hold a conversation, transcribe both sides, detect your language, and escalate if you ask for a human. Prefer texting? Text our AI and it texts right back. Voice + 2-way texting provided by Alohatone.
Kumu is the UHPA Support Agent at kumu.hawaiidata.ai — it answers members' questions about services, contracts, and benefits from approved documents, shows its sources, and can email the transcript. Try it. The HART conversation shown here is a separate concept: a rail-information assistant that could cite public records and distinguish viewpoints. It's an illustration, not a deployed system.
Imagine a public-facing bot grounded in HART's own procurement records, budget updates, and audit reports — citing the exact line it's drawing from, so residents can verify rather than trust. This is what a transparency RAG looks like. We can build it.
Every answer links to the specific document, page, and clause it's drawing from.
On contested topics, the bot presents positions from multiple sides and labels its uncertainty.
Some answers are public. Others are only visible to authenticated staff. You configure who sees what.
Kōkua ("to help" in Hawaiian) is an AI chat that replaces the generic ticket form. It asks the right questions, builds a structured ticket, and hands it to a technician — faster than a phone queue, smarter than a web form. Running on AlohaTone, Trinet-HI, and Lava.net.
Hawaiʻi isn't monolingual — and your bot shouldn't be either. Answer, translate, and even joke in the languages your customers actually speak — with the cultural nuance intact.
Translation engines can move nouns around. But jokes require cultural grounding — timing, local references, what's okay to tease about. If a bot can land a joke in Pidgin, it can handle a customer complaint in Ilocano.
Some information should only go to the right person — a member checking their benefits, a resident viewing their case status, a staff member pulling a record. Before the bot says a word, it confirms identity via SMS. One-time codes, rate-limited, tied to your existing identity system. Your data stays gated until we know exactly who we're talking to.
Every interaction is logged, transcribed, and summarized for your team. Managers get notified when a customer or member needs more information, flags a frustration, or hits a gap the bot couldn't fill — so nothing falls through and the system gets better over time.
Five brands, same family, same building on Holokahana Lane. Whichever site you land on, you're already inside the stack.
SIP voice, 2-way texting, eFax, voicemail transcription. The phone system that ties every brand here together. Telecom since 2005.
SD-WAN, firewall, VPN, multi-site networking, cloud servers. The quiet backbone every brand rides on. Est. 2001.
IT helpdesk as a service. Dedicated teams per client — no single point of failure when someone's PC, server, or app needs help.
Hawaiʻi's oldest ISP. Now hosting @lava.net mail on Google Workspace. The 300 — local stewards, capped on purpose.
Consulting, customer-service agents, company knowledge, automation, and custom software — built on your approved information. Local or private deployment options are available, based on the agreed architecture.
We'll tell you honestly whether AI, automation, software, or a mix will help — and where to start. You'll talk to the people who do the work, here in Honolulu.