We Are Agentic - AI Transformation

Name: We Are Agentic - AI Transformation
Address: Coal Drops Yard, 5 Beaconsfield Street, King's Cross, London, N1C4EW, GB
Telephone: +442030514773

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We Are Agentic - AI Transformation

We Are Agentic helps organisations move beyond AI experimentation and into real adoption.

Through executive alignment, team training, and agentic workflows, we embed AI into everyday work — so businesses see measurable impact, not just hype.

08/06/2026

One week until the next AI-Ready Woman Workshop.

16 June 2026. One day. Online. Practical.

"What surprised me most, was how practical it all was. This was not abstract theory. I built an AI Assistant that now helps me every week. The course gave me skills I will use for life." - Olivia Blairman, Managing Director, Coolr

10% of all profits go to ROSA UK.

Enrol at: https://maven.com/weareagentic/ai-ready-woman

05/06/2026

Today is World Environment Day, and AI sits in the middle of a tension worth being honest about.

One one side AI is enabling things that were previously impossible. Drug discovery for conditions where the computational cost of modelling had shut the door entirely. Energy grid optimisation that reduces waste at a scale no human team could manage. Climate modelling with a granularity and speed that changes what policymakers can act on.

On the other side, training large AI models has a significant energy and water footprint. Running these models at scale, can compound that cost.

Our position is straightforward. Use AI intentionally. Build what is worth building. Don't use a foundational model for something a spreadsheet calculation can do.

Find out how we approach responsible AI use at www.weareagentic.com

04/06/2026

Most AI conversations in finance start in the wrong place.

They start with tools. Which platform to buy. What Copilot can do. Whether Claude is better.
That is not where the value is.

The value is in the workflow. In understanding where AI should step in, where it should augment, and where human judgement absolutely cannot be replaced.

On 12 June, we are running a live, 90-minute webinar built specifically for finance professionals. Not a theoretical overview. A hands-on, demo-led session working through real FP&A, reporting, and finance communications scenarios.

We will show you what the prompts look like. We will compare outputs from Claude and Microsoft Copilot side by side. And we will be honest about where each one falls short.

If you are a senior finance professional trying to cut through the noise and understand what AI can actually do inside your team, this one is for you.

It is free. It is live. And it runs from 12:00 to 13:30 BST.

Register here: https://fienta.com/we-are-agentic

03/06/2026

"Before this session, I thought I was giving ChatGPT and Gemini good prompts, but the outputs never gave me what I needed. Little did I know I was far off from a strong prompt. By the end, I was creating me own agents." - Penny Orme, Founder & Director - Revintis

This is what we hear after almost every AI-Ready Woman cohort and workshop.

The next worksop runs on 16 June 2026. One practical, hands-on day with Lesia Kalley.

Enrol here: https://maven.com/weareagentic/ai-ready-woman

01/06/2026

77% of women say that they want to learn AI. Only 6% of those women feel confident using it.

That identifies an access gap, rather than a skills gap. The training that currently exists is mostly for people who already feel comfortable with technology.

AI-Ready woman was built to close that gap.

It's a one-day live and online workshop with no jargon and not just a bunch of slides filled with theory. This is a practical hand-on session that takes you from 'I should probably learn this' to 'I just built my own Ai assistant for my actual job.'

This workshop is lead by Lesia Kalley, AI Transformation Partner and the persona who makes every session feel like the opposite of any typical, boring, training course.

Enrol at https://maven.com/weareagentic/ai-ready-woman

30/05/2026

Today is National Creativity Day.

And we want to make a case for something that gets lost in the noise around AI.

Creativity is not what AI replaces. It is what AI releases.

When the administrative disappears, when the repetitive is handled, when the formatting and the chasing and the data entry and the first drafts of things that do not require human judgement are taken off the pile, something is left.

The person underneath it.

Their ideas. Their instincts. Their ability to make connections that a model cannot. Their understanding of a client that comes from years of relationship. The creativity that was always there but was buried under work that never deserved a creative person's attention in the first place.

We watch this happen in organisations we work with. A communications director who spent sixty percent of her week on internal reporting now has that time for the work she is actually exceptional at. A lawyer who was processing routine documents has capacity to think strategically about cases. A business development lead who was building decks from scratch is now building relationships.

That is what AI is supposed to do. Not replace the person. Reveal them.

On National Creativity Day, the question we would ask is not whether AI threatens creativity. It is whether your organisation is structured in a way that actually lets creative people be creative.

Because that is a human decision. Not a technology one.

27/05/2026

Every company we speak to starts in the same place.

"We want to automate our tender process."
"We want an agent to handle our reporting."
"We want to build a creative briefing tool."

They think they are describing one thing.

They are not.

That one workflow is almost always a chain of ten or more interconnected stages. Each stage has different inputs, different outputs, different data sources, and different people involved. Some should be automated. Some should be augmented. Some should be left exactly as they are.

When you try to automate the whole thing in one go without understanding the parts, you end up with something expensive that does not work the way you expected. Because nobody mapped what the process actually looks like before deciding what to do with it.

This is one of the most consistent patterns we see in businesses that have had disappointing AI builds. Not a technology failure. A scoping failure.

Workflow mapping is Phase 3 of what we do at We Are Agentic. And it is the phase that saves clients the most money, because it happens before a single line of code is written.

We break the workflow down into its real components. We identify where AI should take over, where it should support, and where human judgement is irreplaceable. We understand the data behind each stage before we recommend building anything.

Then we build. And it works.

What workflow is your business planning to automate?

25/05/2026

Enjoy the bank holiday. And while you are not working, here is something worth sitting with.

The four-day week trials that ran across the UK between 2022 and 2024 produced a finding that still surprises people when they hear it.

Productivity did not drop. In most cases it improved.

And this isn't because people worked harder in four days, but because they worked better. Constraints changed habits. People stopped filling time and started protecting it.

We think about that in the context of AI a lot.

The businesses that make the most of AI are not the ones that add it to an already full workload. They are the ones that use it to rethink what the workload should look like. What should be automated. What should be eliminated. What should be reserved for the humans who are actually good at it.

AI, done properly, is not about doing more in the same time. It is about doing the right things in less time, and using what is left for work that actually matters.

That is a design challenge as much as a technology challenge. And it starts with asking a question that most businesses rarely ask clearly.

If you could automate everything in your business that can be automated, what would you do with the capacity you got back?

We hope you find some of that capacity today.

Back tomorrow. Let us know in the comments what you would do with an extra day.

21/05/2026

Last week we shared the five barriers to AI leadership readiness in UK businesses.

The response told us something. So we want to go deeper on the three that come up most in our conversations.

The skills gap at the top.

Only 18% of UK senior leaders have completed any form of AI-specific training. In the US that figure is 34%. In Singapore, 41%. The UK is structurally behind at the leadership level, and the consequence is not just a knowledge gap. It is a confidence gap that cascades downward. When leadership does not understand AI well enough to lead it, they either over-delegate to technical teams who lack the business context, or they stall while waiting for clarity that never comes on its own.

The absence of governance.

Only 19% of UK boards have formal AI oversight in place. The FCA and PRA have increased pressure on financial services firms specifically, but most sectors are operating without any governance framework at all. What this means in practice: AI decisions are being made at the operational level, often by enthusiastic individuals, without anyone at the top understanding what is being deployed, on what data, with what oversight. That is not a technology risk. It is a leadership risk.

People readiness treated as optional.

Only 23% of UK leaders have a plan for the people side of AI transformation. This is the one we see cause the most damage. An organisation can have a reasonable AI strategy and decent tooling and still fail completely because the workforce was never brought with them. No training, no shared methodology, no cultural readiness. AI arrives and it creates anxiety rather than capability.

The thread connecting all three: they are not solved by technology. They are solved by leadership.

We work with businesses to address all five barriers, in the right sequence. Not all at once, not in the wrong order.

22. If any of these three resonate, we would be glad to have a straight conversation about where your business sits. weareagentic.com/contact

19/05/2026

75% of knowledge workers are now using AI at work.

60% of them have received no training from their employer.

That is from Microsoft and LinkedIn's Work Trend Index, and we think about it a lot.

Because what it describes is not AI adoption. It is AI improvisation.

Three quarters of your knowledge workforce is using AI tools, and the majority of them are figuring it out as they go. No shared methodology. No agreed standards for what good output looks like. No training on where AI should and should not be trusted. No framework for understanding the limits of the tools they are using every day.

That is a capability gap. But it is also a risk gap.

When people use AI without training, they tend to do one of two things. They trust it too much and do not check the output. Or they do not trust it enough and underuse it to the point of no return on the investment. Neither is what a business needs.

The solution is not to stop people using AI. That ship has sailed. The solution is to close the gap between the tool usage that is already happening and the structured capability that makes it actually work.

One training day does that. For an entire team. With tools they build themselves, for their own roles, ready to use the following morning.

That is the gap we close.

Is your team in the 60%?

Address

Coal Drops Yard, 5 Beaconsfield Street, King's Cross
London
N1C4EW

Telephone

+442030514773

Website

https://www.weareagentic.com/, https://www.trustpilot.com/review/weareagentic.com, https://linktr.ee/weareagentic

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