Our programme for changing how your whole organisation works with AI. Team by team, people redesign their real workflows, then build, test and sign off the agents that run them.
10,000+ people trained across 500+ organisations
Everyone wants agents. Very few teams know which job to give one, how to tell whether it works, or how to get it past IT and risk. The pattern we keep hearing is people wanting to build agents faster than their IT departments will let them.
Workflow Redesign starts with the work, not the tool. We map a real workflow, decide where an agent genuinely helps and where a person must stay in charge, then build the first version on whatever your firm already has: OpenAI’s Dots, ChatGPT workspace agents, Claude Managed Agents, or simply an agent in Claude Cowork. Governance runs through the whole session, so what people build can actually be switched on.
It is a programme, not a one-off. We work through your organisation team by team, so every team redesigns its own workflows on the same shared rules for agents, and the whole firm changes how it works rather than a few keen individuals.
What people say after our classes
97%
said the class will help them get more value from AI at work
97%
enjoyed the class
88%
would recommend it to a colleague
5 hrs
average time each person expects to save every week
Post-class surveys across our classes.
Every session is built from scratch around your work, but every session builds the same foundations.
A plain-English explanation of agents, mapping real examples by their goal, trigger, actions, checks and the point where they stop.
Interviewing each person about their work to produce a long list of jobs an agent could do, written as jobs to be done rather than features.
Checking each idea against the systems, connectors, data owners and approvals it would need, so nobody builds something that can never be switched on.
Scoring the shortlist on impact, feasibility and risk, choosing one, and writing down what version one deliberately leaves out.
Setting out every step the agent takes, where a person must approve something and what “done” looks like.
Clear pass or fail checks plus normal, awkward and unsafe test cases, written before a single instruction.
Writing the agent’s instructions on your platform, running a realistic case, then fixing the root cause of each failure and testing again.
A premortem on what could go wrong and a one-page approval memo covering data, access, what happens if it misfires and who signs it off.
The capstone
Everyone finishes with a two-minute show and tell: a working first version, the evidence that it passes its tests and the memo IT and risk need to approve it.
We can usually map your highest-impact use cases in a single conversation.
Get in TouchThese agents came out of our workshops. Each one runs on a schedule or a trigger, does a job people used to do by hand, and checks with a person before anything leaves the building.
Reads yesterday’s email and chat each morning and lists promises not yet kept, requests people are waiting on and threads never followed up, with the message behind each one.
Checks social media every few hours for a covered company, filters out the noise against clear criteria and posts only material items to the right channel.
Reads the week’s cash reporting emails and drafts the consolidated cash report, flagging anything unusual and taking no action without review.
A weekly search for new investments, exits and fund raises across a list of competitor firms, returned as a table with any overlap with your own pipeline flagged.
Drawn from our anonymised client use case library.
Three signals showing agents moving from demos into everyday work. Each links to its source.
40%
of enterprise apps will embed task-specific AI agents by the end of 2026, up from under 5% in 2025
GartnerWe roll Workflow Redesign out team by team, each session shaped around the next workflow that team wants to change.
01
A call to understand the workflows your team wants to change, the agent platforms you have access to and who needs to sign off.
02
We prepare worked examples around your team’s real jobs and check which build route fits your setup.
03
Choose the job, map the work, build the first version, test and improve it, then plan a safe launch.
04
A follow-up call to see which agents went live, what got stuck and which workflow to tackle next.
Delivered in person at your offices, or remotely.
Going further
Workflow Redesign is how organisations move from individual AI use to changing how every team works.
People who keep hearing about agents and want to build one properly, rather than watch another demo.
Teams with research, reporting, chasing and coordination work that follows the same steps every week.
The people who will be asked to approve agents and want them designed with tests and sign-off from day one.
Heads of team who want AI to change the shape of a workflow, not just speed up one step of it.
Other courses teams pair with this one.
Every Workflow Redesign session is led by one of our instructors, with a dedicated tutor in the room so nobody gets left behind.
Founder + Chief AI Officer
AI Instructor
AI Instructor
AI Instructor
AI Instructor
AI Instructor
AI Instructor
AI Instructor
Whichever your firm already has. We have run this on ChatGPT workspace agents and Claude Cowork, and the same approach works on OpenAI’s always-on Dots and Claude Managed Agents. The thinking, the tests and the governance are the same on all of them.
No. The hard part is not the technology. It is choosing the right job, being clear about the steps and testing it properly, and that is what the session focuses on.
Every agent is designed with human approval steps, a clear stopping point and tests that include unsafe cases. Each person also writes a one-page memo covering data, access and what happens if it goes wrong, so IT and risk can review it before it goes live.
A programme. We work through your organisation team by team, and each session tackles the next workflow that team wants to change, building on the agents and governance from the last.
In person at your offices by default, with an instructor and a dedicated tutor in the room. We can run it remotely if that suits your team better.
Yes. We are based in Covent Garden, London, and run most sessions in person at clients’ offices in London and across the UK. We also work with teams worldwide, from Paris and Berlin to New York and Singapore, and can run sessions remotely when that suits better.
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Tell us about the workflow your team most wants to change and we will design a session around rebuilding it with AI.
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