Task queue
A defined set of request types the handles, each prepared for action or for a person to review.
Operational agents
We build AI that read a request, gather related records, and prepare updates across your tools. Staff approve the changes and handle the exceptions.
ScopeOne workflow or several connected applications
Delivery timingDays for a focused prototype, weeks for a well-defined release when access and decisions are ready
How we check itTest scenarios must show the completing tasks correctly and declining to act when it should.
Move requests across tools with review built in
Requests that touch several tools take time to sort, research, and record. An can do the gathering and drafting, but it should not act unchecked. We give your staff one view of what the agent changed, what failed, and what is waiting for their approval.
Good fit
- Operations teams handling varied requests across several systems
- Teams whose requests need research before anyone can act
- Teams spending too much time coordinating and reviewing routine work
- Software products adding assistants that can take actions
Not the right fit
- Tasks with no clear goal or definition of done
- Giving an agent unrestricted access to actions with serious consequences
- Work where no one can tell whether the task was finished
What you get
Approved tools
Connections to your systems that limit the agent to approved records and actions.
Operator review
A screen where staff see what the agent proposes, approve or reject it, handle exceptions, and check past activity.
How it works
Choose one repeatable task
We start with one task, such as sorting a request, gathering missing information, and preparing a record update.
Define permitted actions
We separate what the agent can read, what it can propose, and what needs a person’s approval.
Test complete cases
We test whole cases: successful tasks, unclear requests, malicious inputs, and work interrupted partway.
Scope, cost, and ownership
What we need from you
- A stable task with clear rules for when it is done
- Access to the relevant applications and a named reviewer
What affects cost
- Number of tools and what their actions can change
- Ambiguity in incoming requests
- Approval and recovery requirements
Technical scope
- Workflow status tracking
- Defined inputs and outputs for each tool
- Human review
- Checks that each task finished correctly
- Tracing and replay of runs
- Spending and usage limits
Support and maintenance
Someone on your team reviews unresolved requests and approves any change to what the agent is allowed to do.
Common questions
How autonomous should it be?
It depends on the action. A read-only lookup can run with few controls, while an account change needs approval. We set permissions one action at a time.
Can it work across legacy software?
Often, through existing , database views, file exchanges, email, or controlled browser workflows.