The basics
What agentic AI means in plain English
A normal AI prompt gives you one answer. An AI agent takes a goal and works through the steps to reach it, using tools, checking its own work and asking for help when it needs to.
In a business that means an agent can handle a whole task rather than a single message. It can research a prospect, draft the outreach and update your records, with a person supervising the parts that matter. Our agentic AI training teaches your team to design that kind of workflow safely, building on the wider AI training programme and our AI integration service.
Practical use cases
What AI agents do for a business
These are the agent types we build and teach most often. Each one removes a slice of repetitive work and gives your team back time for judgement.
Research agents
Agents that gather, read and summarise sources on a topic, market or competitor, then hand your team a structured brief instead of a blank page.
Sales support agents
Agents that prepare account research, draft tailored outreach and keep your CRM notes current so reps spend more time selling.
Marketing workflow agents
Agents that take a campaign brief and produce first-draft copy, variations and content outlines that stay on brand and on message.
Customer support agents
Agents that draft accurate replies from your knowledge base, triage incoming queries and flag the ones that genuinely need a person.
Reporting and analysis agents
Agents that pull data together, spot the story in the numbers and produce a plain-English summary your team can act on.
Internal knowledge assistants
Agents grounded in your processes and documents that answer staff questions instantly, with the source close to hand.
Workshop agenda
How the day runs
A practical arc from first principles to a working agent. The exact balance flexes to your team experience and the workflow you want to tackle.
Agentic AI foundations
What an agent is, how it differs from a single prompt, and the building blocks of goals, tools, memory and review that make agents work.
Finding the right tasks
A practical method for spotting which workflows in your business suit an agent, and which are better left as a simple prompt or a human task.
Briefing an agent well
How to write the instructions, guardrails and success criteria that get reliable behaviour rather than confident nonsense.
Building a working agent
Hands-on time building a real agent against one of your own workflows, so the team leaves with something that already does useful work.
Guardrails and oversight
Where to keep a human in the loop, how to limit risk and how to test an agent before you let it touch live work.
Rollout and next steps
How to move from a single agent to a small portfolio, and how to capture what works so the whole team benefits.
Example agent workflows
Workflows teams build with us
Real, end-to-end examples that show how a series of small AI steps adds up to a process that mostly runs itself, with people supervising.
Lead-to-brief workflow
A new lead arrives, an agent researches the company and contact, then produces a one-page brief and a suggested first message for the rep.
Content production line
A topic goes in, an agent drafts an outline, a long-form draft and social variations, with a human editor approving each stage.
Weekly reporting workflow
An agent pulls the week numbers, compares them to target, writes a short commentary and flags anything that needs attention.
Support triage workflow
Incoming tickets are read, categorised and drafted by an agent, with the team reviewing and sending rather than starting from scratch.
Who should attend
Built for teams ready to automate
This workshop suits teams that already use AI for everyday tasks and want to take the next step into automation with proper guardrails.
Operations leaders
- Automating multi-step processes
- Reducing manual handovers
- Freeing the team for higher-value work
Marketing teams
- Faster content pipelines
- Always-on research agents
- Consistent, on-brand drafts
Sales teams
- Automated account research
- Tailored outreach at scale
- Cleaner CRM data
Founders and innovators
- Doing more without more headcount
- Prototyping new internal tools
- A real feel for what agents can do
Commercial outcomes
From a workshop to working automation
The point of agentic AI is not novelty, it is leverage. A well-built agent removes repetitive work permanently, so the time saved compounds week after week.
Teams leave able to spot the next workflow worth automating, which is where the real return sits. When you are ready to scale beyond the workshop, our AI solutions take the same agents into production.
- Workflows that run with less manual effort
- A team that can brief and supervise agents
- Clear guardrails so automation stays safe
- At least one working agent built on the day
- A roadmap for the next agents worth building
FAQ
Agentic AI workshops: frequently asked questions
What is agentic AI in plain English?
Agentic AI describes AI that can take a goal and carry out a series of steps to reach it, rather than answering a single question. An AI agent can research a topic, use tools, draft an output and check its own work, with a person supervising. Where a normal prompt gives you one response, an agent works through a task. In a business setting that means an agent can handle a multi-step workflow, such as researching a lead and preparing a brief, instead of just answering one query at a time.
Do we need developers to attend an agentic AI workshop?
No. Our agentic AI workshops are built for business teams, not just engineers. We focus on how to design, brief and supervise agents using accessible tools, and we pitch the technical depth to the room. If your goals are more advanced, we can run a session with a stronger build focus, but most teams get real value without writing code.
What will we have built by the end of the workshop?
You will leave with at least one working AI agent built around a real workflow from your own business, along with the instructions and guardrails behind it. Just as importantly, your team will understand how it was built so they can adapt it and create the next one. We always anchor the day on a genuine use case rather than a toy example.
Are AI agents safe to use on real business work?
They can be, when designed properly. A large part of the workshop covers guardrails: limiting what an agent can do, keeping a human in the loop at the right points, testing before going live and choosing tasks where mistakes are recoverable. We are honest about where agents fit and where a simpler approach or human judgement is the better choice.
How is an agentic AI workshop different from a general AI workshop?
A general AI workshop focuses on using AI tools well for tasks like writing and research. An agentic AI workshop goes a step further into automation, teaching your team to chain those capabilities into agents that complete multi-step workflows with oversight. It suits teams that already use AI day to day and want to move from assistance to genuine automation.
Agentic AI Workshops
Ready to put AI agents to work?
Book an agentic AI workshop and we will shape the day around a real workflow in your business, so your team leaves with a working agent and the skills to build the next one.
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