What we actually do
We make the data in your existing systems usable by AI.
Thara is a managed service from Ngernthongdee Co., Ltd. — not software handed over for your team to figure out. We do the work: mapping the data in the systems you already run, connecting them, building the tools AI uses, putting the security controls in place, and operating it after go-live. You don't need to staff an AI team, and you don't replace a single existing system.
Data discovery and mapping
Our agent scans the systems you already run and maps what data exists, where it lives, and how it relates — so your team never has to hand-document a schema.
What you get
- A structural map of tables, fields, and relationships across every system in scope
- The list of questions your data can genuinely answer today, plus what's missing
- A recommended connection method per system, with the risks named up front
Connectivity for any legacy system
Wherever the system sits — an on-premise database, cloud, external SaaS, or a legacy system that can only export files — we pick the method that doesn't disturb the software your staff use every day.
What you get
- Direct database connectivity over a private network, on-premise or cloud
- Optional Mirror DB or sync so read load never lands on your production system
- REST API, CSV / hot folder, and external SaaS sources — all through the same adapter contract
Custom MCP tools for your systems
The core of the service: MCP tools built against your real schema, one tool per data domain, each validated against live data before it is switched on.
What you get
- Your own MCP server, with data isolated from every other customer
- Tools split by domain — revenue, rooms, sales, inventory, procurement, HR, GL
- Documentation per tool: which source it reads, and which questions it answers
Security and governance setup
Before any AI touches your data, the controls go in: enforced read-only access, role-based permissions, and PDPA-aligned masking of personal data.
What you get
- Read-only enforced at the tool layer — no write, update, or delete path into source systems
- Role-based access: staff, managers, and owners do not see the same data
- PDPA-aligned PII masking and a hash-chained audit trail covering every request
Enablement on your AI, plus the Admin Console
We connect Thara to the AI your team actually uses — Claude, ChatGPT, Gemini, or a model you run in-house — and hand you the console that controls who can access what.
What you get
- Connection setup for the AI you choose, including models running inside your own infrastructure
- Admin Console: invite and revoke users, see tool usage, toggle individual tools per person
- Usage guidance for your team, with a starter question set matched to your business
Cross-system reconciliation — worked jointly with your team
This one we cannot do alone, and shouldn't. We build the tooling that matches records across systems and surfaces what doesn't tie out — but the people who know why a given variance exists, and how it should be adjusted, are your finance team and data owners. So we work alongside them rather than taking it over.
What you get
- Tooling that matches records across sources — POS against GL, PMS against accounting — with confidence scoring and the open variances listed
- Matching rules we design against what your finance team confirms is correct, then tune together against real cases
- Judgement and posting of adjustments stay with your team — we never write back into the accounting system
Ongoing operation after go-live
We don't disappear at go-live. We keep the connections running, and add or revise tools as your business changes.
What you get
- Connection monitoring, with an alert to you when a source breaks
- New and revised MCP tools as your team's real usage evolves
- Support at the level your plan covers; Enterprise includes a dedicated engineer and SLA
How an engagement starts
The actual sequence, from first conversation to go-live.
A 30-minute discovery call
What systems you run, where the data sits, and which answers you need. No system access is required at this stage.
Scoping and connection design
How many systems, how many MCP tools, which connection method fits each source, and which plan matches the scope.
Live within 24 hours
Counted from the moment full data access is granted. Your team is querying through AI the same day — not months into an integration project.
Ongoing operation after go-live
Tools tuned and added as usage evolves, connections monitored, and support at the level your plan covers.
What we need from your side
This works through cooperation, not hand-off. Here is everything we depend on you for.
- One coordinator on your side who knows which system holds what, and can answer data questions
- Read-only data access within the scope you approve, including the connection path opened by your IT team or incumbent vendor
- Confirmation from someone close to operations that the numbers our tools return match what the business actually uses
- Judgement calls on the data — unreconciled items, accounting adjustments — remain your team's decision
What we do not do
Stated plainly, so there is no confusion about what buying this service includes.
- We don't replace or modify your existing systems, and we never write, update, or delete data in a source system
- We don't resell AI accounts — you use your own Claude, ChatGPT, or Gemini account, or a model you run in-house
- This is not a BI or dashboard licence — Thara is the data layer that lets you ask and let AI build the report
- We don't relocate your data anywhere beyond a Mirror DB or sync explicitly agreed in writing
- We don't warrant answers generated by third-party AI providers; we warrant the correctness of the data our MCP layer returns
Want to know whether your systems can be connected?
Tell us what you run. We'll tell you whether it connects, by which method, and how long it takes.