AI agents for defined jobs, inside limits you set, with a named human owner
Agents that take on defined jobs, such as lead follow-up, order status or invoice matching, inside limits you set.
Typical balance
25 human : 75 AI
AI-run, reviewed. Varies by engagement.
Your people keep defining the job, the limits and the escalation rules, reviewing exceptions and edge cases and owning the outcome.
AI takes on carrying routine work from start to finish, using your tools and data through secure connectors and logging every action for review.
What is AI agents?
An AI agent is software that uses an AI model to carry out a defined job from start to finish, such as following up on a lead or matching an invoice, by reading information, making routine decisions and taking actions in your systems. Uptrend Motion builds agents with limits you set and a named person who owns each one.
Also known as AI agent development, autonomous AI agents, custom AI agents and agentic AI
Who needs AI agents?
Businesses with high-volume, rule-bound work that takes skilled people's time, where most cases are routine and a few need judgment.
A good fit when: a process is high volume, rule-bound and eating skilled people's time.
How AI agents works
Define the job
We write down exactly what the agent does, what it must never do, and when it hands over to a person.
Build and connect
The agent is built and connected to your tools through secure, permission-scoped connectors.
Test on real cases
It runs on historical cases first, and its results are compared with what your team did.
Launch with an owner
It goes live with monitoring, an audit log and a named owner who can pause it.
What you get
- Production agents with named owners
- Guardrails and approval thresholds
- Monitoring dashboard
- A runbook for your team
How long does AI agents take?
A first production agent in four to eight weeks.
Common questions about AI agents
What is the difference between an AI agent and a chatbot?
A chatbot answers questions; an agent completes tasks. An agent can look up an order, issue a refund within a limit, update a record and notify a colleague, not only reply in text.
Are AI agents safe to use with customer data?
They can be, when each agent sees only the data its job needs, actions are logged, and anything above a set threshold goes to a person. Those controls are part of every agent we build.
What happens when an AI agent makes a mistake?
The audit log shows what it did and why, the owner can reverse or pause it, and the case becomes a test so the same mistake is caught next time.
