Features for directing work.
Assign agents, choose enabled models, manage their resources and review or pause scheduled tasks.
LAiB TERMINAL / GOVERNANCEAI works.
AI works.
Your company leads.
Decide which agents your team uses, which models power them and which information and tools they access. Keep people involved in the decisions that matter.
YOUR COMPANY DEFINES THE FRAMEWORKSome tasks move forward.
Some tasks move forward.
Some decisions come back to you.
In a reconciliation, reviewing the proposal and authorizing posting are different responsibilities from preparing the work.
AGENTGathers and proposes
OWNERReviews and decides
CONNECTED SYSTEMPosts after approval
Control has
three parts.
When evaluating Terminal, distinguish product features from the decisions made for your implementation.
Rules for working.
Define who reviews, what needs approval and how to handle missing information or an incorrect proposal.
Access to act.
ERP, CRM or accounting system connections and permissions determine what each tool can query or execute.
02 / HUMAN IN THE LOOPSome decisions
Some decisions
remain yours.
The agent prepares. A person reviews and authorizes where the process requires it. If something needs correction, the work returns for review.
In a reconciliation, that means reviewing the entry before posting it. The example shows who prepares, who decides and when work can continue.
Illustrative demonstration. Fictional data; no operations are executed.HUMAN REVIEW / ACCOUNTING EXAMPLE
Approval needs context.
The person in charge reviews the proposal with its supporting documents. If a discrepancy remains unresolved, the work returns for review. Posting to the system happens after approval.
Explore the reconciliation example03 / EACH PART HAS A ROLEGovernance also means
Governance also means
reaching agreement.
Defines.
The work to solve, the people in charge, the tools and terms of use.
Prepares.
Checks authorized information and performs tasks within its configured scope.
Decides.
Reviews exceptions, corrects proposals and authorizes steps requiring human judgment.
04 / BEFORE PUTTING IT TO WORKControl is designed
Control is designed
with the process.
Configuration starts with understanding how work is done and where a decision can change the result.
- 01
We choose a task.
A clear outcome, an accountable person and criteria we can explain.
- 02
We define the scope.
Required sources, tools, models, access and approval points.
- 03
We test exceptions.
Missing information, incorrect proposals and decisions that must return to the team.
- 04
We review real usage.
We observe the work, refine criteria and agree on what to expand.
QUESTIONS / CONTROL AND TRUSTWhat is worth
What is worth
asking.
What does governance mean in simple terms?
It means the company sets the conditions for using AI in its work. It defines who uses each agent, the information and tools it works with, the model it uses and when a person must intervene. Terminal brings that work into a shared space. Configuration and available controls are reviewed for each implementation.
Can I choose the models?
Yes, from the options enabled for your company. Model choice is part of agent configuration. In the demo, we review available options, how to choose them and what to assess for your task. Availability and terms are confirmed when defining the implementation.
Do all employees see the same information?
Work is organized by people, teams and assigned agents. Before implementation, we define who needs each agent and which sources and tools it requires. Effective scope also depends on connections and permissions in source systems; we validate this with your team when configuring the process.
Does Human in the Loop mean approving every response?
Not necessarily. It means placing human intervention where the process needs it. An information search and posting an accounting entry do not have the same impact. In the accounting workflow shown, a person approves before the agent posts the entry. Other review points are agreed based on the task.
What if the agent makes a mistake or lacks information?
The process must define when to stop, ask for context or return to a person. Proposals requiring approval are reviewed before continuing. Error cases and incomplete information are tested during preparation; results are reviewed and criteria adjusted in operation. Human review helps control the work but does not make the system infallible.
What can I see about agents' activity?
You can resume sessions, consult results and files, and review scheduled task runs. You can also pause a schedule. Review and authorization of actions are defined by the process: an accounting entry, for example, requires approval before posting.
What terms apply to my company's data?
They depend on the tools, models and configuration used. Before implementation, review what information is shared, with which services and under what terms. Model training, retention and data residency conditions are reviewed against the chosen providers and your company's needs.
What do we define before enabling an agent?
The task it must solve, the team using it, the sources it can query and the tools it needs. We also agree on what it can prepare independently, what must return to a person and who validates the result. We test that scope before extending use to more tasks or teams.
Is choosing a model enough to control the work?
No. The model is one part of the decision. Available information, enabled tools, agent instructions and human review also matter. In a demo, we can explore those decisions using a task from your company and review the available model options.
LAiB TERMINAL / THE HOUSE OF AIMore AI in your company.
More AI in your company.
More clarity to lead it.
Tell us what work you want to improve. We review the process, the tools and where your team needs to step in.