AI · 2.5 HOURS
Designing AI Agents for Business Workflows
Designing AI Agents for Business Workflows teaches process owners and team leaders who are not engineers to decide whether a task needs an agent and, if it does, to scope it clearly. You finish with a one-page agent brief that an engineer or vendor can build from, including the step where a person must approve.
About this course
An AI agent is a system in which a model chooses its own next step and uses connected tools, such as a mailbox, a finance system, or a records database, until a job is done or it has to stop. Many requests for an agent are for work that a single prompt or a fixed automation would handle more cheaply, and the requests that do need an agent carry real risk if the job, the permissions, and the approval points are left vague.
The course teaches you to decide whether work needs an agent, a prompt, or a fixed automation, and then to design the agent in business terms: one job with a checkable finished state, only the tools it needs, the step where a person must say yes, and a rule for what it does when it cannot finish. You finish with a signed one-page agent brief that an engineer, a vendor, or a colleague could build from without asking what you meant.
What you will take away
- You will be able to tell work that needs an agent from work that a prompt or a fixed automation handles, by looking at its steps rather than its topic.
- You will be able to define an agent's job by its trigger, its inputs, a finished state someone could check in a system, and its stop condition.
- You will be able to grant only the tools a job needs at the lowest level, and record the tools you are deliberately withholding.
- You will be able to identify the steps that move money, reach outside the organisation, change personal data, commit the organisation, or cannot easily be undone, and require approval for them.
- You will leave with a signed one-page agent brief covering the job, the tools granted and withheld, the approval step, the stop rule, and the role that owns the agent.
Who this course is for
- Operations leads and process owners who have been asked to propose or commission an AI agent for a workflow they know well.
- Product managers and business analysts who need to turn a request for 'an agent for invoices' into a scoped job that a builder can test.
- Team leaders who must decide which steps an agent may take alone and which need a named person's approval before anything changes.
- Managers who work with vendors or internal engineers and want to settle the business decisions before any technical choices are made.
What you will do
Each lesson teaches one part of the method, works through a realistic example, and ends with a check on a case you have not seen. The course closes with an assessment and then the piece of work you sign.
- 5lessons with a worked example and a check
- 7scenario questions in the course assessment
- Signedthe agent brief, with a record anyone can verify
- 2.5 hoursat your own pace, with progress saved
- 01
Lesson
Agent or prompt
This lesson explains the difference between a prompt, a fixed automation, and an agent, and why the simplest arrangement that works is usually the right one. You mark tasks suggested by an HR and IT team as work a prompt can handle or work that needs an agent.
- Three ways to get the work done
- Two phrases for every request
- What an agent is not
- The mistake people usually make
You mark 3 statements from a realistic case and receive an explanation for each one.
- 02
Lesson
One job
This lesson teaches you to define an agent's job by its trigger, inputs, finished state, and stop condition, and explains why a goal such as 'handle invoices' gives an agent no edge. You rewrite a vague job definition and choose the booking agent definition that someone could build and test.
- Four parts of a job
- A job is not a goal
- Why one job and not three
- The mistake people usually make
You compare two versions of the same piece of work, choose the stronger one, and see the reasoning behind the answer.
- 03
Lesson
Tools you will not grant
This lesson explains reading, writing, and acting outside tools, the principle of least privilege, and why granting a tool 'in case it is useful' creates risk. You decide which tools a holiday policy agent should receive and mark each one grant or do not grant.
- Three kinds of tool
- Grant only what the job needs
- Why 'in case it is useful' is not caution
- The mistake people usually make
You mark 4 statements from a realistic case and receive an explanation for each one.
- 04
Lesson
The step where a person says yes
This lesson sets out five reasons a step needs a person's approval first and explains why a notification after the action is not approval. You mark each step of a recruitment agent's job as one the agent may do alone or one where a person says yes first.
- What an approval step is
- Five reasons a step needs approval
- What an approval step is not
- The mistake people usually make
You mark 4 statements from a realistic case and receive an explanation for each one.
- 05
Lesson
When it cannot finish
This lesson covers the cases every agent meets in its first week, including missing documents and instructions hidden inside an invoice, and the three things a stop rule must say. You edit a stop rule and choose the instruction that stops, changes nothing, and hands over.
- Every agent meets work it cannot finish
- Three things a stop rule says
- Instructions hidden in content
- Stopping is part of the job
You compare two versions of the same piece of work, choose the stronger one, and see the reasoning behind the answer.
- 06
Course assessment
Course assessment
This lesson recaps the whole design method and reads one facilities repair request against every step, from agent or prompt to the stop rule. You then answer seven scenario questions set in situations you have not seen, and you need six correct answers to pass.
- Agent, prompt, or fixed automation
- The job and its tools
- Approval and stopping
You judge 7 new workplace situations, with feedback on every option, and need 6 correct to pass.
- 07
Final work and signed record
The one-page brief
This lesson explains what the agent brief is for, why it is a business decision rather than a technical specification, and how each line is tested for readiness to build. You write and sign a one-page brief for an agent you would like in your own organisation.
- What the brief is for
- What the brief is not
- The test each line must pass
- How the brief is checked
You write the agent brief for your own work, part by part, and sign it as your record.
GOOD WORK.THE AGENT BRIEF, SIGNED.
WHAT CHANGES
What the course changes for you and your organisation.
- 01
Agents only where they pay
The course shows you how to recognise when a prompt or a fixed automation would do the same work at lower cost and with less to supervise. Your organisation avoids building and testing agents for work that never needed one.
- 02
Limits decided before building starts
The brief records which tools the agent may use, which it must never be given, and where a named person approves, so a builder cannot connect extra permissions simply because the platform offers them. That reduces the harm a misread or maliciously worded document can cause.
- 03
A brief engineers can build from
Each line of the brief is written so that an engineer or vendor can act on it without returning to ask what was meant. Projects start from settled business decisions, and supervisors have a clear standard to test each run against.
- 04
Scope agents before building them
Gartner predicts that over 40% of agentic AI projects will be cancelled by the end of 2027, citing escalating costs, unclear business value and inadequate risk controls. A clear agent brief that states the value, the limits and the human checkpoint helps an organisation decide early which projects deserve funding.
ROLES THIS SKILL SHOWS UP IN
Roles where these skills are already valued and paid for.
These figures are published salary bands and wage premiums, not a guarantee that finishing this course moves you to the top of the range. They are here so you can see what the market is already paying for the work you will practise.
AI Prompt Engineer
£62,750 to £115,000, midpoint £92,500
Robert Half's 2026 UK guide. London midpoint is £125,750.
Artificial Intelligence Engineer
Midpoint £65,750
The neighbouring engineering role in the same Robert Half guide, for people who take the brief into a built system.
Machine Learning Engineer
Midpoint £75,000
Same guide. The brief you write here is the instruction that role then tests.
AI enablement or operations lead
Premium on the role you already hold
PwC found specialist AI skills carried a 34.2% wage premium in 2025. Many of those postings sit inside operations, customer, and people teams rather than a lab.
Customer communications or account work
The same seat, with a skill the posting now names
The course artefact is a prompt card a colleague can run. That is the work those teams are hiring people to supervise.
Learning, knowledge, or product operations
Listed against the AI-skilled premium
These roles now ask for someone who can brief a model, check the output, and leave a reusable instruction. That is the check this course marks.
QUESTIONS
Questions about Designing AI Agents for Business Workflows
- What is Designing AI Agents for Business Workflows about?
- An AI agent is a system in which a model chooses its own next step and uses connected tools, such as a mailbox, a finance system, or a records database, until a job is done or it has to stop. Many requests for an agent are for work that a single prompt or a fixed automation would handle more cheaply, and the requests that do need an agent carry real risk if the job, the permissions, and the approval points are left vague. The course teaches you to decide whether work needs an agent, a prompt, or a fixed automation, and then to design the agent in business terms: one job with a checkable finished state, only the tools it needs, the step where a person must say yes, and a rule for what it does when it cannot finish. You finish with a signed one-page agent brief that an engineer, a vendor, or a colleague could build from without asking what you meant.
- Who is Designing AI Agents for Business Workflows for?
- Operations leads and process owners who have been asked to propose or commission an AI agent for a workflow they know well. Product managers and business analysts who need to turn a request for 'an agent for invoices' into a scoped job that a builder can test. Team leaders who must decide which steps an agent may take alone and which need a named person's approval before anything changes. Managers who work with vendors or internal engineers and want to settle the business decisions before any technical choices are made. No specialist background is assumed, and every term is explained before it is used.
- What will I be able to do after Designing AI Agents for Business Workflows?
- You will be able to tell work that needs an agent from work that a prompt or a fixed automation handles, by looking at its steps rather than its topic. You will be able to define an agent's job by its trigger, its inputs, a finished state someone could check in a system, and its stop condition. You will be able to grant only the tools a job needs at the lowest level, and record the tools you are deliberately withholding. You will be able to identify the steps that move money, reach outside the organisation, change personal data, commit the organisation, or cannot easily be undone, and require approval for them. You will leave with a signed one-page agent brief covering the job, the tools granted and withheld, the approval step, the stop rule, and the role that owns the agent.
- How long does the course take, and how is it taught?
- The course takes about 2.5 hours and is studied online at your own pace. It has 5 lessons, each with a worked example, a practice exercise, and a check on a new case, followed by a course assessment of 7 scenario questions in which you need 6 correct to pass. Your progress is saved to your account.
- Do I get a certificate?
- Yes. When you pass, you sign a record that names you, the course, and the agent brief. Anyone you share it with can verify it online and download it as a PDF. The record confirms what you completed and does not claim compliance with any regulation.
- How much does it cost, and when can I start?
- The course costs £129, paid once by card through Stripe. Access begins as soon as payment is confirmed, and you can save a sign-in to return to the course from any device.
- Can my organisation train a whole team?
- Yes. Individuals can buy any self-paced course online, and organisations can book trainer-led courses for teams, in person or online, through the Experrt Academy.
More ai courses are listed on the self-paced ai courses for professionals page.
THERE IS A NEXT CHAPTER.
Start today, and finish with
the agent brief your organisation can use.
Checkout takes an email address and a card, and access begins as soon as payment is confirmed. When you finish, you sign a record that names you and the agent brief, which anyone you choose can verify online. The record confirms what you completed and does not claim compliance with any regulation.