Define the job once, in plain instructions.
Set the agent's role, tone, and rules as instructions so it handles the task the way your team expects, every time.
An agent combines your instructions, the knowledge it is allowed to use, and the actions it may take into one AI teammate for a specific task. Share it across the team so everyone gets the same cited, permission-aware behavior without re-explaining the job.
Agents package a task's instructions, the exact knowledge it should rely on, and the actions it is allowed to take into one reliable teammate. An onboarding helper, an engineer copilot, or a legal reviewer behaves the same way every time, grounded in the sources you chose.
The same question is answered a different way by each person.
A reliable answer depends on knowing which sources to trust.
Repeat work is re-explained instead of reused.
Answers first-week setup questions from approved HR and IT docs, and prepares access requests for review.
The agent answers from the IT runbook with citations, then prepares the access request and holds it for IT review.
Set the agent's role, tone, and rules as instructions so it handles the task the way your team expects, every time.
Attach only the connectors, document sets, or files the task needs. A narrower scope produces more reliable answers.
Choose which built-in tools and custom actions the agent may use, from internal search to governed writes in connected systems.
Publish an agent to individuals or user groups so the whole team runs the same vetted setup.
When a task needs a change in a connected system, the agent uses only the actions you allowed, prepared and held for review where required.
Explore ActionsA new joiner's setup question
A cited answer plus a prepared access request
IT reviews and approves the requestA question about a service or incident
A cited answer scoped to the team's repos and runbooks
An engineer decides the formal changeA clause or policy check on a document
A cited comparison against current policy
Counsel makes the legal judgmentAvailability and connector-specific behavior are stated directly, without universal claims.
No. An agent only uses the connectors, document sets, or files you attach to it, and it still respects each person's source permissions when it answers for them.
Only what you allow. You choose the built-in tools and custom actions it may use, from internal search and web search to governed writes in connected systems.
Yes. Agents can be published to individuals or user groups so everyone runs the same instructions, knowledge scope, and allowed actions.
Connect the relevant sources and show Linkence the approval rules. See the path from evidence to completed work on your own data.
Representative data is enough for the first demo. No production access required.