Agents where the work needs judgment. Robots where it doesn't.
Agentic automation combines AI agents, which interpret information and choose the next step within limits you set, with software robots that carry out fixed steps exactly, and people who approve what matters. ETT, a UiPath Services Certified Partner, designs and builds it on UiPath, orchestrated end to end, with every action logged and every exception routed to a named person.
What you would be buying
A working automation for one agreed workflow, connected to your systems, with the exception handling and documentation needed to run it.
What you receive
- Target process design: which steps run as robots, which as agents, which stay with people, and why
- Integration and permission map: systems, accounts and the actions each component may take
- Working automation deployed to your UiPath environment
- Exception and escalation paths, designed before the build
- Agent evaluation set and results: the test cases each agent must pass before go-live, and its score
- Test evidence against the acceptance criteria agreed at the start
- Runbooks and handover, or a move into our managed service
What you provide
- Access to the process and the people who run it today
- Representative test data
- Integration credentials, issued through your own secure process
- Named system owners who can approve connections
- Acceptance criteria agreed before build starts
How success is measured
- End-to-end cycle time against the pre-agreed baseline
- Successful completion rate
- Exception rate, and how many exceptions a person had to resolve
- Rework: how often a completed item had to be corrected
- Cost per completed transaction
- Agent decisions overturned by a reviewer, as a share of all decisions
Not every workflow needs an agent. Where a process is predictable and the rules are stable, deterministic automation is cheaper to build, cheaper to run and easier to assure. We use AI interpretation where the input varies or the next step depends on meaning, and say which is which in the design.
What can hold it up
- Integration credentials arriving on time — usually the single largest cause of delay
- A stable target process; a workflow being redesigned in parallel cannot be automated reliably
- Somebody with the authority to sign off what the automation may do without a human
After it goes live
Automations need an owner after go-live. We hand over runbooks and monitoring, or run the work under our Agentic Managed Services agreement. Ongoing support is a separate commercial arrangement, not something included by default.
Deliverables and measures describe the standard shape of this engagement. Exact scope, duration and commercial terms are agreed and confirmed in writing before work starts.
How we do the work
Target process design
Which steps run as robots, which as agents, which stay with people, and why, set out step by step before anything is built.
Orchestration end to end
Agents, robots, APIs and people run as one governed process. For agentic work we design on UiPath Agent Builder and orchestrate with UiPath Maestro.
Document and email intake
UiPath IXP and Document Understanding read instruction letters, reports, purchase orders and invoices, with anything ambiguous sent to a person in Action Center.
Controls set in platform policy
What each agent may do unattended is set as UiPath Automation Ops policy, not left to prompts. Every agent has a human escalation path, and model calls go through the AI Trust Layer.
Agent evaluation before go-live
A set of test cases each agent must pass before it goes live and after every change, with its score on record.
Modernising an existing robot estate
We assess the robots you already run, retire what is not paying its way, rebuild the rest as reusable modules, and add agents where a robot keeps breaking on variation.
Where agentic automation creates value
Email and document intake
Instructions, orders and claims arrive by email and PDF. Agents classify and extract, robots key the result into the case or ERP system, and anything ambiguous goes to a person.
Where we have done this
Why this matters
Most stalled agentic projects did not fail on the model. They failed on everything around it: the agent could not reach the systems it needed, nobody had decided what it could do alone, and exceptions had nowhere to go. Gartner expects over 40% of agentic AI projects to be cancelled by the end of 2027, on cost, unclear value and weak risk controls (Gartner, June 2025).
UiPath's own view is that enterprises have an orchestration problem, not an agent problem. We agree. Most real processes need three kinds of worker: robots for the precise, auditable steps, agents for the steps that need interpretation, and people for the decisions.
The work is making them run as one process, on systems you already own, with a record of who or what did each step.
We say which steps get a robot, which get an agent and which stay with a person, step by step, and why.
Agentic Automation on UiPathHow we decide what gets an agent
A rules-based robot when inputs are structured, the rules are stable and you need the same answer every time. It is cheaper to build and run, and easier to audit.
Document AI when the input varies but the output is a fixed set of fields: invoices, instruction letters, purchase orders.
An agent when the next step depends on meaning: triaging a request, reconciling a mismatch, drafting a reply, choosing between routes. A person when the decision carries accountability you cannot delegate, or the agent is not confident enough.
Fixed script, same answer every time. Precise, cheap to run, easy to audit. Brittle when inputs vary.
Agents reason within set limits and call robots for the precise steps. People approve what matters.
What we build with
ETT Group of Companies Inc. is a UiPath Authorized Partner and a UiPath Services Certified Partner, and resells UiPath licenses. Our delivery team holds UiPath technical certifications.
The UiPath Platform is certified to ISO/IEC 42001, the AI management system standard. That covers UiPath, not your deployment. We help you evidence your side, down to individual outputs with the Analect Accuracy Evidence File.
The relationship behind each technology (formal partnership, authorised resale, or a platform we deploy) is stated on its technology ecosystem entry.
How we build agentic automation into the flow of work
Orient
We find where automation creates measurable value, often from a workshop or process mining, and set the baseline.
Prove
We build one real process on UiPath and test it against criteria agreed before the build, with full traceability.
Govern
We set the limits, escalation paths and policies each robot and agent must respect, in the platform.
Scale
We roll the pattern out to live operations and adjacent processes, reusing modules rather than rebuilding.
Compound
We monitor, evaluate and improve, either handing over to your team or running it under our managed service.
Often delivered alongside
Timing, cost, access and ownership
How long does this take?
A first workflow is a matter of weeks rather than months, but the schedule is set by integration access more than by build effort. Credentials arriving late is the most common cause of delay in this work, and we sequence around getting them early.
What drives the cost?
The number of systems to integrate and the state of their interfaces; how much variation the process contains; and how much of the work genuinely needs AI interpretation rather than deterministic rules. A predictable process behind good APIs is considerably cheaper than a variable one behind a legacy screen.
What access do you need?
Access to the process and the people who run it, representative test data, and integration credentials issued through your own secure process. We do not ask for shared accounts, and credentials are scoped to the actions the workflow needs.
Who owns what you build?
Ownership of the solution, its configuration and the documentation is set out in the engagement contract before work starts. Where a third-party platform forms part of the solution, that platform's own licensing terms apply to it, and we identify which components those are rather than leaving the boundary vague.
What happens when it goes wrong?
The workflow stops and escalates. Every automation we build has a defined failure path: what happens when a source is unavailable, a validation fails or permission is denied, and who it goes to. That path is designed at the start, not added after the first incident.
About this service
What is agentic automation?
Agentic automation combines AI agents, software robots and people in one orchestrated process. Agents handle steps that need interpretation, robots handle fixed steps exactly, and people make the decisions that carry accountability. Everything runs within limits you set, and every action is recorded.
How is agentic automation different from RPA?
RPA follows a fixed script and does the same thing every time, which makes it precise and easy to audit but brittle when inputs vary. An agent reasons about what to do next within the limits it is given. Most production processes use both: agents call robots for the precise steps.
When should we use an AI agent instead of a rules-based bot?
When the next step depends on meaning rather than rules. If you can write the rule down and it holds, use a robot. It is cheaper and easier to assure.
How do you stop an AI agent doing something it shouldn't?
The limits live in platform policy, not just in the agent's instructions. Each agent has a defined set of actions, a human escalation path, and a test set it must pass before go-live and after every change. Every action is logged against the permission it used.
Can you work with the UiPath robots we already have?
Yes. Most agentic work builds on an existing estate rather than replacing it. We assess what you have, keep what works, and add agents where they remove a recurring failure.
Do we need to buy UiPath licenses?
Yes, for the UiPath components. As a UiPath reseller, we quote the licensing as its own line, separate from our fee and sized to what the roadmap needs rather than the whole platform. If you already have a UiPath agreement, we can work under it.
Is ETT a UiPath partner?
Yes. ETT Group of Companies Inc. is a UiPath Authorized Partner and a UiPath Services Certified Partner, and resells UiPath licenses. Our delivery team holds UiPath technical certifications. One team scopes the work, supplies the licenses, builds on the platform and supports it afterwards.
Which process would you put an agent on first?
Bring the workflow and the systems behind it. We will tell you which steps need an agent, which need a robot, and which should stay with a person.
Around four minutes. Indicative guidance based on your answers.