Sales
Qualify an enquiry, check the approved product information and coordinate a meeting. Route pricing exceptions to the sales manager.
Explore the sales agentAutonomous agents.
Give the next step
a teammate.
Autonomous AI agents pursue a goal, choose actions and use connected tools to move work forward. With Uniforce, shape that capability around a business role, clear permissions and human direction.
Explore your first agentSee an example
A goal. A role. A next step.Understand the context
Use approved tools
Ask when it matters
What is an autonomous AI agent?
An autonomous AI agent is software that can work toward an objective through multiple steps. It interprets the request, chooses a permitted action, observes the result and decides what should happen next. It may ask for more information, use another tool or stop for a human decision.
For a business, the value lies in connecting those steps to real work. A sales enquiry can become a qualified opportunity. A service request can become an investigated case. The outcome depends on the quality of the information, the integrations and the boundaries around the role.
Autonomy is a scope you define. It does not mean unrestricted access or a guarantee that every task can be completed independently.
See how an agent becomes a digital employeeHow autonomous agents work.
One decision at a time.
Follow a delayed-delivery case. The agent can investigate within its access, while a proposed credit waits for a manager. Customer communication stays separate from the internal approval request.
Every tool result matters. If an order is missing or a connected system fails, the agent needs a permitted fallback. It should not invent an answer or treat an attempted action as a completed one.
Explore human oversight
Customer service agentIllustrative workflow
Within your rulesA customer asks about a delayed order.
“I’m sorry your order hasn’t arrived. Let me check the latest information for you.”
Read access · permitted
Read the verified customer record and order details.
Autonomous agents for everyday business work.
Choose a role around an outcome your team can recognize and review. These examples describe workflows to configure and validate with your systems.
Customer service
Investigate a request, retrieve permitted order information and prepare the next response. Bring sensitive resolutions to the responsible person.
Explore the customer service agent
Operations
Coordinate a request across connected records, identify missing details and prepare an update. Keep commitments within the approved process.
Explore the operations agentChoose the right level of autonomy.
A predictable process may only need a fixed workflow. An agent is useful when the next step depends on context. Many business processes combine both approaches.
| Approach | How the work progresses | Useful starting point |
|---|---|---|
| Fixed automation | Follows predefined rules and steps. | A consistent process with known inputs. |
| AI assistant | Helps a person with a request; capabilities vary. | Drafting, summarizing and retrieving information. |
| Autonomous agent | Selects permitted actions and adjusts based on results. | A multi-step goal that needs contextual decisions. |
For more on agents and predefined workflows: Anthropic’s architectural explanation.
Build autonomy
around accountability.
Start with the minimum access the role needs. Separate read permissions from changes to records, define approval thresholds and identify who owns each exception.
Review conversations and action logs together. Test unavailable tools, conflicting information and declined approvals. Expand responsibility when the workflow has been evaluated, rather than assuming that more autonomy always creates more value.
Questions about autonomous agents.
What are autonomous agents?
Autonomous agents are software systems that pursue a goal by selecting actions, using available tools and checking results. AI agents can adapt the next step to the information they receive, within the permissions and stopping conditions defined for the task.
Are autonomous agents the same as chatbots?
The categories overlap. A conversational interface can include an agent. The useful distinction is whether the system can carry out permitted actions and adjust its next step, rather than only generate a response.
Can an autonomous agent work without human approval?
It can perform actions that its configuration permits without a separate approval each time. Sensitive actions, exceptions and uncertain cases can require a person. Autonomy should be defined per action, not granted as a blanket permission.
What tools can an autonomous agent use?
A role may need access to email, calendars, CRM, ERP or approved documents. Actual integrations, credentials and read or write permissions need to be confirmed for each implementation.
How do autonomous agents relate to digital employees?
Autonomy describes how a system can select and carry out steps. A digital employee describes its business role: responsibilities, knowledge, tools, manager and review process. An autonomous agent can be part of that role.
How should a business start?
Choose a focused workflow with a clear outcome. Define the available information, allowed actions and human owner. Test normal requests, missing information, tool failures and approval scenarios before live use.
Explore the ideas behind the work.
Let’s change how work gets done.
Bring people and digital employees together around the work that matters.
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