Consulting

Effective, not just efficient.

Strategy to value, proved in 90 days.

Most AI and transformation money goes into tools and programmes, not into how work gets done, which is why so few organisations see a return. We take one strategic bet, one value stream, and in 90 days redesign the work around it with AI inside it, ship, and measure every week. Then the evidence decides what scales.

Take the readiness check Book a discovery call

The readiness check is free and takes ten minutes: five questions in your own words, an instant report, and the one thing to do first.

Why now

The return is in the operating model, not the tools

Efficiency is doing things right. Effectiveness is doing the right things, and being able to show what you got. The research says the difference is how the organisation runs, not what it buys.

The return is in the operating model, not the tools

Only about 6% of organisations get significant value from AI. The thing they do differently is redesign how work flows, not buy more software.

McKinsey, The state of AI, 2025

60%

Pilots stay pilots

About 60% of companies see virtually no impact from AI. The pilot worked; the way the organisation runs never changed to let it scale.

BCG, 1,250 companies, 2025

1 in 4

Strategy moves yearly, AI moves monthly

Only a quarter of companies have moved 40% or more of their AI pilots into production. Annual plans and project funding cannot keep up with what is now possible.

Deloitte, 2025

What we do

Three offers, each scoped, priced and proved on its own

Start with whichever is your problem. Each one ends in evidence, not a deck.

Strategy to execution

A strategy deck, and no clear answer to which three things to do first.

Where to play and what to stop, mapped (Wardley Mapping)
The bets worth making, and what each should return
The measures that will show it, agreed before the work starts (Evidence-Based Management)

Duration: Two to three weeks
Price: Fixed price

Case: Lloyds Banking Group, PSD2

The 90-day proof

Pilots that will not scale, or a value stream that is too slow, in an organisation built around departments.

One value stream mapped end to end, with where the work waits
The workflow redesigned with AI inside it, and the teams organised around it (Team Topologies)
Work shipped, and a weekly evidence view the leadership team can read
A decision to scale, stop or redirect, made on what was measured

Duration: 90 days
Price: Fixed scope, fixed price. Three proofs a quarter.

Case: Barclays Investment Bank

AI enablement MVP

The tools are bought, and work does not flow any faster.

One workflow, chosen for the value it carries and the waste in it
AI built into it: the steps, the roles and the checks changed to match, not a tool bolted on
Working in daily use and measured, so the next workflow is chosen on evidence

Duration: Four to six weeks
Price: Fixed price

Case: a UK law firm, incident to development

Fractional transformation lead

For organisations of 50 to 500 people that cannot yet hire a transformation director: a b-agile partner, one or two days a week, owning the change end to end. Monthly, no long contract.

Ask about fractional

How it works

The 90 days

One bet, one value stream, three four-week blocks. At the end of each, leadership sees evidence, not a status report.

Weeks 1 to 4

Map and measure

One strategic bet chosen. The value stream mapped end to end. The outcome measures agreed and read for the first time. Leadership sees the baseline, in numbers.

Weeks 5 to 8

Redesign and ship

The workflow redesigned with AI inside it. Teams organised to match. The first work shipped the new way. Leadership sees the measures move, or not.

Weeks 9 to 12

Prove and decide

Twelve weeks of evidence. A decision to scale, stop or redirect, made on what was measured. Your people own the way of working. Leadership sees what it got.

Inside every engagement runs the same five-phase method, Discover to Evolve, set out on the b-agile Flow Framework page. We also coach your engineers in Technical Excellence, so the work ships safely.

Evidence first

We measure value, time to market and ability to innovate from week one, so every decision after that is grounded. Efficiency is doing things right. Effectiveness is doing the right things, and proving it.

With your people, in the real work

No parallel programme, no coach layer. Pilot teams write the playbooks the rest of the organisation uses, and learn the practices in our labs as they go.

AI inside the workflow

Bolting AI onto a broken structure produces faster waste. We change the steps, the roles and the checks so the work actually moves differently.

We build with AI ourselves

This site, our booking platform and our Interactive Labs are made the way we will help you make things.

Proof

Built inside the systems that cannot be wrong

Consulting since 2003. Scrum.org Professional Training Partner. ICAgile Member Training Organisation. Lloyds Banking Group, Barclays, Commerzbank, HSBC, Allianz, Euronext.

Our partners have spent their careers inside financial services and beyond, as contractors and leaders on the systems that cannot be wrong: market making and billing systems for Euronext Amsterdam and Paris, liquidity and transfer pricing, exchange billing, and the agile and organisational change around them. What is new is doing it with AI inside the work, and that is new for everyone right now. We have been building with AI for some time, for ourselves and for clients.

9,800+: people trained by our trainers
1,000+: organisations have sent their people to us
20+: years in delivery and coaching

Organisations we have worked with include

Accredited partner of

Client work

The situation, the bet, what shipped, what the evidence showed

Four engagements, told the same way. Where a client is under a non-disclosure agreement, it is not named.

AI enablement: incident to development

A UK law firm

The situation: Incidents and software changes ran as two processes with a ticket between them, so the context an incident arrived with was lost by the time a developer picked it up.
The bet: Rebuild the path from incident to change with AI inside it, so the first read, the reproduction and the proposed change are drafted before a developer opens the work, and the developer decides rather than digs.
What shipped: The incident-to-development workflow, rebuilt with AI in the steps and the roles changed to match, in daily use.

Strategy to execution: PSD2

Lloyds Banking Group

The situation: PSD2 put a regulatory deadline across every channel of a bank funded by project and organised by function. The strategy was clear. The capacity to execute it at the pace the regulation demanded was not.
The bet: That the way through was a workforce that could execute, not a bigger programme: enterprise agile coaching and training with PSD2 as the live case, at a pace that reached the whole organisation.
What shipped: Three trainers took 18,000 colleagues through the programme in one year, in classes of 30, four times a week, with coaches working inside the delivery teams rather than beside them. One of those trainers, now a b-agile partner, trained more than 5,700 of them.
What the evidence showed: Reach that a classroom programme could not have had: a regulated change delivered by the organisation's own people, and a way of working that 18,000 of them had been through.

Organising for flow: digital transformation, 2015 to 2016

Barclays Investment Bank

The situation: Digital products delivered through functional silos and handoffs, with value waiting between teams and the structure fighting the strategy.
The bet: Organise around the flow of value rather than the departments, with teams owning a product end to end and measured on what reached the customer.

Team and systems coaching, 2017 to 2019

Commerzbank

The situation: Teams that had the practices and not the relationships, in a bank where the interfaces between teams were where the work stalled.
The bet: Coach the system, not only the individuals: Organisation and Relationship Systems Coaching alongside team coaching, so the teams could see and change how they worked together.

What we build

We build with AI ourselves

Two of our own products, as proof that we can build what we advise. They are not client outcomes.

incala

An AI coaching app for neurodivergent adults that you can talk to, by voice in both directions, built with AI from the first commit. A 109-scenario evaluation script judges every change to the coach before it ships.

This platform

Booking, payments, VAT across markets, Xero, Zoom, the Interactive Labs, the chat assistant and the readiness check, built by two people with AI inside the work and tests written before the code.

Labs built for you

Your expertise. Our engine.

The Interactive Labs on this site are ours, built with AI inside the work, in weeks. We build them for your content too: your onboarding, your claims process, your product, your course. Learners practise in simulations of their real work, and you own the result.

A conventional e-learning vendor charges tens of thousands of pounds per finished hour for a course with real practice in it, and most buyers settle for slides and video instead. A lab from us starts at £10,000.

Step 1

Design week

One week, fixed price (£3,000). We take your expertise and map the learning journey: the outcomes, the simulations, the scenarios, the data learners will practise on. It ends in a specification you sign off, and you decide whether to build.

Step 2

Build

From £10,000, fixed against the specification. Two to six weeks, with working software to try every week. Your content inside live simulations, interactive exercises and an AI assistant that knows your material. You own the code and the content.

What you get

A branded, browser-based lab on your own address, no installs
Simulations of your real work: your process, your numbers, your scenarios
An AI assistant trained on your content, in your learners' languages
Analytics and completion tracking, so you know who did what and where they struggled
Yours outright: no per-seat licence, no vendor lock-in

Who it is for

Trainers and consultancies. You have the expertise and the material. We have the engine. Your course becomes a product you own.

Learning and development leads. Replace the click-through module nobody remembers with practice people can feel: onboarding, a claims process, a safety procedure.

Product companies. Customer and partner training that teaches people by letting them use the product, not watch it.

We have built our own. We are taking on the first three client labs now.

Try Mastering Kanban to see what a lab is, then tell us what yours would teach.

Ask about a lab

Is this you?

Who this is for

Organisations of 50 to 2,000 people, where delivery slowed as you grew
Leaders who have been asked what the AI spend returned, and do not yet have an answer
Companies that bought AI tools but have not seen work flow any faster
Teams measuring activity when leadership is asking about outcomes
Anyone who has read about product operating models and wants people who have built them

Need support for leaders or teams while things change? We also offer professional coaching for leaders, and Organisation and Relationship Systems Coaching for teams. Ask about coaching

Find out where you stand first

Ten minutes, five questions in your own words, and a report that tells you the one thing to do first. No call needed. If you would rather talk, a discovery call is an honest, no-pressure conversation about where your organisation is now and whether we can help.

Take the readiness check Book a discovery call

or email us at info@bagile.co.uk