AGENTIC WORKFLOWS

Turn repeatable work into workflows that agents can execute.

Wujie Harness connects context, issues, AI agents, skills, runtimes, human decisions, and review into visible agentic workflows for real team operations.

Talk to the Wujie Harness team Explore AI project management

In one sentence

An agentic workflow is a sequence of work where AI agents can make progress through assigned actions, use tools and context, report blockers, and return to people for decisions or review.

Start with shared context and a clear result

An agentic workflow needs more than a prompt. It needs an expected outcome, source material, constraints, permissions, and a definition of done that stays available throughout execution.

Wujie Harness keeps this context with the issue and channel so each step can use the same current understanding of the work.

Connect agents, skills, and runtimes

Different work needs different capabilities and execution environments. A workflow can route work to the right agent, provide the appropriate skill, and run through a local, cloud, or managed runtime.

The workflow stays visible even when execution happens across different tools or environments.

Choose the agent responsible for each unit of work.
Provide reusable skills and operating instructions.
Control where and how agent execution runs.

Keep humans in the loop where judgment matters

Agentic does not mean fully autonomous. A workflow can pause for missing context, approval, or review and make the next required human action explicit.

People keep control of priorities, sensitive actions, and acceptance while agents handle the repeatable execution between those decisions.

Make automation observable and governable

Traditional workflow automation can hide its state inside integrations and logs. Wujie Harness keeps execution attached to issues, status, ownership, blockers, budgets, and review.

Teams can understand what an agent did, why the workflow stopped, and what needs to happen next before the result becomes reusable work memory.

Track progress and failures in the shared workspace.
Set permissions, runtime boundaries, and usage controls.
Keep a reviewable record of actions and results.

FAQ

What is the difference between an AI workflow and an agentic workflow?

A fixed AI workflow follows predefined automation steps. An agentic workflow gives agents bounded responsibility to use context, choose actions, handle intermediate work, report blockers, and request human decisions when needed.

Do agentic workflows need human review?

Not every step requires review, but consequential decisions and final results often do. Wujie Harness makes those checkpoints explicit so autonomy can increase without removing accountability.

Can agentic workflows use local or private infrastructure?

Yes. Wujie Harness supports different runtime choices so teams can align execution with their code, data, network, permission, and governance requirements.

Keep exploring

AI collaborationKeep people, agents, and shared context in one workflow.Read more →AI workplaceSee how agents become part of everyday team operations.Read more →