Agent framework
Controls how an agent reasons, plans, and uses tools.
AI PRODUCTION PILOT
Integrate one focused, measurable AI workflow into the existing system.
The pilot integrates one focused, measurable AI workflow into the existing system, with a bounded production rollout as the delivery goal. We define where AI can proceed, where people step in, and how exceptions recover. Once live, operating KPIs determine whether to expand.
Best for teams with a defined workflow, a system owner, and intent to deploy. It is not a standalone AI showcase or concept demo.
Assess a real workflow- 01
Choose the workflow and success metrics
Define optional KPIs such as handling time, human intervention rate, error rate, or completion rate without assuming numerical results.
- 02
Connect the required data and systems
Integrate the latest data, existing interfaces, and system operations the job actually needs.
- 03
Define automation and human boundaries
Standard cases that meet existing host-defined rules continue through the implemented path. Exceptions and high-risk decisions go to named owners.
- 04
Test success, failure, and exceptions
Cover duplicates, missing data, timeouts, execution failures, and partially completed work.
- 05
Decide whether to expand after go-live
After the bounded production rollout is live, use operating KPIs to decide whether to expand without promising that expansion in advance.
KEEP THE OPERATING CORE
Do not rebuild your operations around AI.
Tonetify connects LINE, web, existing agents, and internal systems. Your customer, order, billing, authority, and execution workflows stay in place. We add the data checks, human handoffs, exception handling, and outcome tracking AI work needs.
Already have an engineering team? Keep these responsibilities separate
MCP / API gateway
Controls connections, traffic, authentication, and tool access.
Workflow engine
Runs workflows whose transitions are already defined and authorized.
Tonetify integration layer
Adds data checks, human handoff, exception handling, and outcome tracking.
INTEGRATION MODEL
Keep the entry points flexible and core authority in the system of record.
Tonetify does not replace identity, policy, or execution authority. The system that owns authoritative business data still makes the final change.
01 · USER + AI SURFACES
LINE · web · existing agents · internal tools
02 · TONETIFY DELIVERY PATH
data checks · human handoff · exceptions · outcomes
03 · EXISTING SYSTEMS
customers · orders · billing · authority · execution
ONE JOB, END TO END
From a user request to a result in the system of record.
Tonetify connects data checks, human judgment, system execution, and outcome tracking in one workflow. It does not replace the host's identity, policy, or execution authority.
01 AI / CHANNEL
Receive the request
The guest asks to cancel a stay
AI / CHANNEL
02 HOST + TONETIFY
Check the facts
Use booking, policy, and expected fee data supplied by the host
HOST + TONETIFY
03 PEOPLE + HOST
Route the judgment
Use the existing authority path to reach the right person
PEOPLE + HOST
04 HOST
Execute in the host
The booking system performs cancellation and refund operations
HOST
05 HOST + TONETIFY
Return the result
Record success, failure, or required human follow-up
HOST + TONETIFY
User + AI surfaces AI WORKFLOW PATH Host systems + operators
Reference integration scenario, not a customer workflow
Cancel my stay next Saturday
Standard cases that meet existing host-defined rules continue through the implemented path. Exceptions reach the right person. Failed refunds, duplicate requests, and partial completion preserve enough state for the next operator to continue.
ACTION PROPOSAL
Sample booking · Double room
- Expected refund
- NT$4,280
- Cancellation fee
- NT$600
The original booking cannot be restored after cancellation.
Submit cancellation to host
TECHNICAL ARCHITECTURE
One delivery backbone, composed for the workflow.
Users stay focused on the job in front of them. Underneath, each rollout combines AI action governance, interaction delivery, and event context as needed.
01 AI ACTION GOVERNANCE · GOVERN
Govern
Control what proceeds automatically and what needs human judgment.
Govern binds the subject, scope, authority, freshness, and lifecycle, then connects execution results to what was confirmed. Identity, business data, policy, and execution stay with the system of record.
bounded proposal · explicit authority · receipt binding
CORE GOVERNANCE CAPABILITY
INTEGRATION CAPABILITIES AS NEEDED
02 INTERACTION DELIVERY · RELAY
Relay
Connect LINE, web, and other user surfaces.
Relay adds ordered, retry-safe interaction delivery without taking over conversation policy.
03 EVENT CONTEXT · ACTIVITY
Activity
Organize the host-supplied state a workflow needs.
Activity only organizes events and state supplied by the host into rebuildable timelines and reliable downstream delivery. The host remains authoritative for the latest business truth.
CURRENT PROOF LEDGER
What is proven, and what is not.
Keep technical evidence, reference integrations, and commercial validation separate.
Inspect the full proof record →Product foundation
Contracts, tests, and replay verification exist
Bounded replies and proposals, lifecycle reconciliation, outcome evidence, and versioned host-tool contracts form the current verifiable technical foundation.
Reference integrations
End-to-end scenarios validate the integration path
Reference workflows and replayable scenarios validate data, proposal, callback, and outcome-tracking boundaries. They are not deployed customer case studies.
Commercial stage
Seeking the first paid workflow rollouts
Current evidence supports the system design and integration path. It does not yet prove customer ROI or production performance at scale.