ASE Holdings · Semiconductors
AI integration case
ESG disclosure navigator
Answers only from published reports, citing year, section and entity; drafts customer ESG questionnaires internally
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SERVICE · AGENTIC WORKFLOW
AI workflows with human control
Automate defined steps between your systems. Keep approval, exceptions and decision authority with the right people.
- People own the risky decisions
- Supervised
- Every run can be reviewed
- Logged
- Rollout can be narrowed quickly
- Reversible
Brands the team has shipped for over 15 years
Digital products and AI integration cases- Shipping digital products
- 15+ yrs
- Brands served
- 300+
- Projects delivered
- 600+
- Senior team, close to the work
- Taipei
Shorten the waiting between steps
An agentic workflow uses AI agents and tools to carry out defined steps in a process. A supervised implementation specifies allowed actions, human approvals, exception handling and execution records. The scope grows only after the workflow passes agreed evaluation criteria.
Many processes spend more time waiting for information or approval than doing the work. We map one workflow, its rules and its exceptions before deciding which steps an agent should handle.
The agent uses approved tools under scoped permissions. Human review, execution records and a route back to manual handling are part of the design. A limited rollout tests the workflow before its scope grows.
Capabilities
- Defined automation boundaries
- Specify allowed actions, approval thresholds, missing-data handling and stop conditions.
- Human review and escalation
- Send exceptions to a named reviewer with the relevant evidence and action history.
- Execution records
- Record inputs, tool calls, outputs and review decisions so the team can investigate a run.
- Existing-system integration
- Connect approved ERP, CRM, ticketing and messaging interfaces, with retry and failure handling.
Use cases
- Refund preparation and review
- Check order and shipping information against policy, prepare the response and route approvals or exceptions.
- Invoice matching
- Compare invoices, purchase orders and receipts; send mismatches to procurement or finance.
- Delivery exception triage
- Gather shipment information, propose the permitted next action and send unresolved cases to dispatch.
Delivery cadence
01
01 · SCOPE
Map the decisions
Define rules, exceptions, reviewers, permissions and acceptance criteria for one workflow.
02
02 · BUILD
Connect tools and controls
Build the workflow and execution record, then test normal cases and failures using representative data.
03
03 · PILOT
Start with supervision
Run a limited scope with human review and a tested path back to manual handling.
04
04 · OPERATE
Expand against evidence
Review completion, exceptions, errors and cycle time before widening the automation scope.
FAQ
What happens when the agent makes an error?
Define detection, stop conditions and recovery before launch. Execution records support investigation; reviewers can pause automation and return the work to manual handling.
Who is accountable for a decision?
The workflow has named business and operating owners. Approval rules and records show which actions were automated and which were reviewed; responsibility is agreed as part of the delivery scope.
Do we need to replace our current systems?
We first assess available interfaces and permissions. Where supported, the workflow connects to existing systems; required changes are stated in the scope.
How much autonomy do we have to allow?
Start with the actions your team approves. Automation boundaries, review thresholds and stop conditions are agreed before a supervised rollout.
SCOPE · CHOOSING THE APPROACH
When should a workflow use an agent or fixed rules?
Fixed rules suit predictable inputs and actions. Agents may help interpret variable content, but still need tested boundaries. Many workflows use both.
Fixed-rule automation
Supervised agent workflow
Inputs
Defined fields and repeatable steps
Variable text or documents within a bounded task
Decisions
Explicit rules determine the path
Model-assisted interpretation with approval and stop rules
Failures
Test retries, exception routing and recovery
Test model errors, tool failures, escalation and recovery
Evaluation
Check execution and business-rule correctness
Also check content interpretation and action suitability
KNOWLEDGE BASE · FURTHER READING
The agentic workflow knowledge base
Selected guides and external perspectives for planning this workflow.
Tenten AI whitepapers & perspectives
- Multi-Agent Failure ModesA Practical Guide to Context, Tools, Dependencies, and Evaluation
- Hermes Agent ArchitectureBuilding Reliable Multi-Step AI Workflows in Production: Durable Execution, State Management, and Recovery
- Agentic AI GovernanceAn Operational Runbook for Regulated Enterprises: Audit Trails, Checkpoints, and Shutdown Procedures
- All whitepaper resourcesGuides for models, architecture and operations.
Authoritative external sources
TENTEN × DIFY
AI connected to existing systems, with clear working boundaries
From Tenten’s October 2026 consulting deck: five client platforms, their AI integration workflows, data sources and human review.
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- Start with one real workflow
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- We will say if AI is not useful
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