Enterprise AI built around your work

Four solutions built by Triple Song. Our consulting, builds and training fit them to your business.

Enterprise AI solutions

Our consulting, builds and training run on solutions we built ourselves

A company AI gateway, AI that answers from your own documents, AI agents that carry out work, and a hands-on training platform. Instead of starting from scratch, we fit them to your business.

TS AI Gateway

TS AI Gateway solves the security, data-leak, cost and control problems companies hit when adopting AI

Bring in commercial AI as-is and the company can't tell who used what, which data left, or what it costs. TS AI Gateway handles, in one place, every point where adoption leads get stuck in security review and operation.

Requests from

  • Employees
  • In-house AI agents
  • Business systems
  • Scheduled jobs

TS AI Gateway

  1. 1Identity and permission
  2. 2Input check and de-identification
  3. 3Model routing
  4. 4Output check
  5. 5Logging and cost

Allowed

  • Claude · GPT · Gemini
  • In-house models
  • Approved company data

Blocked

  • Personal AI accounts
  • Sites and APIs off the list
  • Data outside permissions

On Google Cloud's enterprise infrastructure, these AI models connect through one company gateway

  • Google Cloud
  • Gemini
  • Claude
  • OpenAI

  • Usage history

    Without: No idea who used what

    Gateway: Every call logged, audit-ready

  • Confidential data leaks

    Without: Contracts go out as-is

    Gateway: Blocked or de-identified first

  • Training on your data

    Without: May train on your data

    Gateway: Only no-training routes

  • API key sprawl

    Without: Keys scattered in code

    Gateway: Keys only in the Gateway

  • Personal accounts

    Without: Company can't even see it

    Gateway: One company door

  • Access control

    Without: Everyone sees everything

    Gateway: Answers within permissions

  • Cost control

    Without: Spend by team unknown

    Gateway: Per-team totals, auto limits

  • Rogue agent calls

    Without: Calls unapproved places

    Gateway: Outside allow-list: cut

  • Unfounded answers

    Without: Wrong answers in reports

    Gateway: No evidence, no answer

  • Policy violations

    Without: Banned phrases go out

    Gateway: Checked before release

  • Model lock-in and outages

    Without: Outage stops work

    Gateway: Automatic failover

  • Security review

    Without: Nothing to show review

    Gateway: Review documents ready

  • Closed-network needs

    Without: Can't use restricted data

    Gateway: Closed network or hybrid

  • Existing subscriptions

    Without: Each plan managed apart

    Gateway: One layer in front

Details for each item
Usage history
No record of who sent what and got what back, so incidents can't be explained.Requests, responses, attachments and threads are kept with user, department, model and time, with separate viewing rights for audits.
Confidential data leaks
Contracts, customer lists and source code go straight to external models.Inputs are checked before sending, then blocked or masked. Higher-grade data is routed to in-house models.
Training on your data
Nobody can confirm whether submitted data is used to train models.Only enterprise routes that do not use your inputs for model training are connected.
API key sprawl
Keys are scattered across code and personal PCs; once leaked, no one knows who used them.Keys live only in the Gateway. Staff and agents never see them and call only through the Gateway.
Personal accounts
Staff use personal AI accounts and the company can't even see it.Personal AI accounts are blocked and use is gathered into one company door; unapproved services are detected.
Access control
Everyone reaches the same models and the same data.Requester, department and allowed scope are checked first, and answers use only data the person may see.
Cost control
Usage and spend by department are invisible, so budgets can't be set or recovered.Tokens and spend are tallied by user, department and project, with automatic stops at limits and a monthly report.
Rogue agent calls
Running agents call unapproved APIs, databases and sites.Each agent's reach is fixed by an allow-list; calls outside it are cut at the network layer.
Unfounded answers
Wrong answers flow straight into reports and external documents.Answers are checked against company documents and held back when evidence is insufficient.
Policy violations
Banned or exaggerated phrases slip into outgoing messages.Outputs are checked before release; flagged sentences are stopped and passed to a person.
Model lock-in and outages
Model changes, price rises and outages halt the work.Models change without touching business code, with automatic failover when one goes down.
Security review
There is nothing to show what leaves and how far, so review stalls.Data boundaries, log retention and deployment are documented for your review committee.
Closed-network needs
External APIs alone can't handle data that must not leave.Cloud, hybrid and closed-network setups share one structure, so you choose by data and can move later.
Existing subscriptions
Each Claude, GPT or Gemini subscription is managed separately.Keep your subscriptions and add the Gateway in front to secure logging, blocking and billing first.

TS AI Gateway runs on Google Cloud's enterprise infrastructure. The scope of each control is set to your standards during the diagnosis.

How it's used

How one request is handled

Staff ask in the messenger or on the web. The gateway checks permissions and confidential data, then the AI answers from company documents or acts in your existing systems.

Employees only get answers from material they're allowed to see.

Draft this month's purchase order using last month's unit prices for Supplier A

  1. TS AI Gateway

    • Requester permission checked — Purchasing
    • 1 supplier contact masked
    • Routed to the company-contracted AI

  2. TS AI Engine

    Drafted the order at unit prices from Supplier A's price list (revised in September). Quantities match last month's order.

    PriceList_SupplierA_Sep.xlsxPurchasing policy §12

  3. TS AI Agent

    Register draft PO in ERP Waiting for owner approval

Connected systemsERPGroupwareMessengerExcel · shared drivesDocument repositoryEmail
Illustrative screen. Values are fictional; the real flow is redrawn for your work in the assessment.

01 · Enterprise

TS AI Gateway

The company gate that lets employees use AI with confidence.

  • Leaks blocked

    Contracts and lists are masked or stopped before they leave

  • Who used what

    Questions, attachments and answers are kept for any inquiry

  • Usage and cost by team

    Stops at the limit, settled monthly

  • Same work, any model

    If a price rises or a model fails, it switches over

When this fits

  • Employees are using AI on personal accounts
  • Internal review stalled over leakage worries
  • AI spend is not visible by department
Technically

Existing subscriptions stay; the gate sits in front. Allow-list traffic control per agent, token-level cost tallies.

02 · Evidence

TS AI Engine

AI that never sends an answer without evidence.

  • No evidence, no answer

    If evidence falls short, it holds instead of answering

  • Shows its sources

    Every answer lists the internal documents it used

  • Your documents only

    It searches your files and rules, not the internet

  • Works air-gapped

    Runs on in-house AI with no outside connection

When this fits

  • Answers must rest on rules, contracts or precedents
  • You worry invented answers will reach a report
  • Data cannot leave the company
Technically

Query decomposition, hybrid vector and keyword search, cross-encoder reranking, grounded generation, then an evidence check that rewrites the query and searches again on failure. Commercial and local models.

03 · Execution

TS AI Agent

AI that carries out tasks from a message.

  • One sentence to run

    Say it in messenger or on the web and it happens

  • Your systems stay

    Runs inside ERP and groupware without replacing them

  • Unsure? Asks a person

    Doubtful cases go to the owner for confirmation

  • Everything logged

    What was done, and on what evidence, is all kept

When this fits

  • Teams that get instructions over messenger
  • Work that meant hopping between screens
  • Tasks that need a person to confirm before execution
Technically

Touchpoints (web, messenger, mail, schedules), then intent, plan and tool calls, then document reading, knowledge search, system operation, output generation and human hand-off, into ERP, WMS, groupware, e-court, procurement and tax portals. Every run passes three safety gates (generation, rule check, independent verification), and authority steps up from observe, to approve-then-run, to conditional autonomy.

04 · Training

TS Class

A hands-on training platform that lets one instructor run ten learners.

  • Join with a course code

    Learners enter with a course code and their work email. No separate accounts.

  • Who is stuck shows first

    The instructor sees every learner's progress and help requests on one screen.

  • Checkpoints and grading

    Each step is checked off, and submissions are graded by AI with instant feedback.

  • Training paperwork, automatic

    Attendance, completion list, results report and certificates are ready when the session ends.

When this fits

  • Running hands-on AI training across several classes
  • When one instructor has to lead about ten people
  • When you need a results report and proof of completion
Instructor view — everyone's progress and help requests
Instructor view — everyone's progress and help requests
Learner view — tasks and checkpoints
Learner view — tasks and checkpoints
Technically

A developer track and a literacy track for general staff share the same screens. Personal work and emails are deleted automatically after 30 days.

Deployment

Your data can stay inside the company

Cloud, hybrid or air-gapped. The structure is the same, so you can move later.

  • Cloud

    For everyday business documents. Uses the AI your company already contracts.

  • Hybrid

    For data containing customer or transaction details. Originals stay in-house; only answers come from outside.

  • Closed network

    For data that cannot leave. Runs entirely on AI inside your own servers, with no external connection.

Technology we use
  • LangGraph
  • Agentic RAG
  • MCP
  • Qdrant · ChromaDB
  • Hybrid Search
  • Google Cloud
  • AWS
  • Firebase
  • BigQuery
  • Next.js · Electron
  • Python · TypeScript
  • Playwright

FAQ

Questions about this service

See all questionsAsk us directly · 0507-1471-3678

Let us decide together which to start with

Tell us which systems you use and whether data may leave the company. That is enough.

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