London · Est. 2018 · Independent practice

Work that ships.

Agile WOW is an independent agile delivery consulting practice for engineering organisations that need to ship value faster — and the data to prove it. Built on Kanban flow metrics, Monte Carlo forecasting, and dashboards a delivery lead can actually defend.

Book an intro call → See the work

[ 01 ] THE WORK

Delivery,
modelled.

Agile WOW is a single-operator delivery consulting practice for engineering organisations that want to ship faster — and have the data to back it up.

Twenty years inside software organisations as a delivery lead. A strong preference for the methods that survive contact with real teams. Every engagement anchored on measured flow, not opinions.

Helping software organisations ship value faster — through proven delivery methods and the discipline to stay with them.

Twenty years inside software organisations as a delivery lead — and a strong preference for the methods that survive contact with real teams: Kanban for flow, Scrum where ceremony earns its keep, XP for engineering rigour, and mobbing where the work is too important to be siloed. Every engagement is anchored on measured flow metrics — not opinions.

Kanban flow metrics Monte Carlo forecasting Scrum mastery XP practices Mobbing Coaching Complexity reduction Transformation

→ Engagements include

• Embedded delivery leadership
• Kanban flow installation, end-to-end measurement
• Coaching: scrum masters, POs, eng leads
• Transformation roadmaps that cut ceremony

→ Outcome

• Predictable cadence, visible flow
• Shipped value per sprint, not per quarter
• Less ceremony, more decision velocity
• Documented systems your team can run

[ ⌁ ] THE BENCH

AI modelling,
under the floorboards.

AI is the engine underneath the practice — ticket-data extraction, time-series forecasting, agentic analysis, and Monte Carlo modelling — built in-house and pointed at the work we actually do.

You don't buy "AI" from us. You buy delivery — and the bench is what makes flow metrics, forecasts and dashboards genuinely defensible.

→ EXTRACT

Tickets, into data.

Pull ticket history from Jira, Linear or Azure DevOps, normalise the noise, and surface the metrics a delivery lead actually needs — cycle time, throughput, work-in-progress, ageing — automatically and continuously.

→ MODEL

Flow, forecast.

Monte Carlo simulations on historical throughput to answer the questions that matter — "when will this ship?", "how many features by quarter end?", "what's the 85th-percentile cycle time?" — with confidence intervals, not story-point optimism.

→ AUTOMATE

Retro intelligence.

LLM-assisted analysis across hundreds of standups, retros and post-mortems to spot the recurring blockers and structural problems that humans miss when they're heads-down delivering. The patterns surface in writing, not in people's heads.

⌁ Partner

Dashboards built on Nave.

The Kanban analytics suite the practice uses — and is an official affiliate partner of. Real-time sync from Jira, Linear, Trello, Azure DevOps. Cumulative flow, cycle time, throughput, ageing WIP, Monte Carlo delivery forecasts — the metrics agile delivery has always needed and rarely had clean access to.

Affiliate disclosure: we earn a small referral fee if you sign up via our link. Disclosed up-front. Doesn't change the price.

See Nave dashboards →

[ 02 ] PROOF

What the
work looks like.

Two views from a recent engagement — a Monte Carlo delivery forecast and an ageing-WIP chart. The first answers "when will it ship?". The second answers "what's stuck right now?". Both built on Nave, refreshed daily from the client's issue tracker.

Sample dashboard · Monte Carlo delivery forecast

"When will it ship?"

Run ten thousand simulations on the team's historical throughput and the answer comes back as a probability distribution — not a story-point optimistic estimate. The 50% line is the most likely delivery date. The 85% and 95% lines are what you commit to with confidence.

Monte Carlo delivery-date forecast from a Nave dashboard, showing a probability distribution with 50%, 85% and 95% percentile markers

Simulations

10k

P50 forecast

10 Apr

P85 forecast

16 Apr

Sample dashboard · Ageing WIP chart

Where work is actually stuck.

Each dot is a piece of work currently in flight. Y-axis is how long it's been in progress; column is its current state. Anything in the red zone is older than 95% of the team's historical cycle time — meaning something needs intervention now, not in the next retro.

Ageing WIP chart from a Nave dashboard, showing in-progress items grouped by status column with cycle-time percentile bands

Items in flight

In red zone

Cycle p85

30d

⌁ Anonymised exports from a real engagement, built on Nave. Client name redacted.

[ 03 ] APPROACH

Four principles
that travel.

Whether the deliverable is a sprint cadence, a flow-metrics dashboard, a transformation roadmap or a Monte Carlo forecast, the same four ideas show up. They are unfashionably plain. That is the point.

α / 01

Evidence over opinion.

Every recommendation is downstream of a number that can be argued with — a flow metric, a cycle-time distribution, a Monte Carlo forecast, an ageing chart. No vibes.

β / 02

Compound systems over heroics.

Unfussy infrastructure that runs every day beats brilliant interventions that arrive once. Cadence is the strategy.

γ / 03

Optionality is a position.

Time, attention, slack in the backlog, willingness to say no — all of them are positions. Sized deliberately, not by accident.

δ / 04

Make it retire-able.

Every system — code, model, policy, sprint ritual — is documented to the point that someone else can switch it off. If it can't be retired, it shouldn't be deployed.

[ 04 ] HONEST

What we
politely decline.

Three briefs we'll say no to on the intro call. We'd rather save everyone a quarter than take work that doesn't fit. If your brief is one of these, we'll point you at someone better placed.

no · 01

"We need more headcount."

If the obvious answer is more bodies, you don't need a consultancy — you need a recruiter. We don't dress up hiring problems as transformation work.

no · 02

"Make our agile look like Spotify's."

Cargo-cult transformations end in expensive ceremony and demoralised teams. We don't sell named frameworks; we install cadence that fits the org you actually have.

no · 03

"Build the software for us."

This is a consulting practice, not a dev shop. We help your teams ship faster, measure flow, and own their delivery — but we don't put devs on your project to write your product for you.

[ 05 ] ENGAGEMENT

How we start.

A short, low-friction path from first conversation to first delivered outcome. Most engagements begin with a 30-minute diagnostic call and a written one-pager — yours to keep, with or without us.

Practice capacity · 2–3 concurrent client engagements · waitlist applies

→ 01

Intro call

30 minutes. We map your current delivery shape — flow, ceremony, blockers, tooling, team structure — and identify where leverage actually sits.

→ 02

Written diagnostic

A single one-page document: what we'd change first, what the cost of inaction looks like, what we'd touch and what we'd leave alone.

→ 03

Scoped engagement

One of the four formats opposite, with weekly written check-ins and a clear retirement criterion from day one.

→ 04

Hand-off & retire

You inherit working systems and the documentation to run them — or to decommission them honestly.

Engagement formats

Written-first. Calendar-light. Documented to be retire-able from day one.

Diagnostic · FIXED FEE

2 weeks

One-pager + supporting model. Scope: a single delivery problem. The cheapest way to know if we're a fit. Always available.

Delivery engagement · EMBEDDED

3–6 months

Embedded delivery work for software organisations — coaching, transformation, flow installation. The bread and butter of the practice.

Retainer · MONTHLY

Rolling

Fractional delivery capacity with a written monthly review. Capped hours, uncapped thinking. For organisations that need a delivery leader on call without a full-time hire.

Build · DAY-RATELimited

4–12 weeks

Hands-on construction of one system — a delivery cadence, a flow-metrics dashboard, a Monte Carlo forecasting model. Capacity-constrained: typically one Build engagement at a time.

[ 06 ] ABOUT

One operator,
one service.

Agile WOW is led by Matt — an independent delivery consultant who has spent 20+ years inside software organisations as a delivery lead, with AI-assisted modelling threaded through the practice from day one.

Real data, no fluff, no certificates.

Agile WOW exists because most agile consultancies sell ceremony, named frameworks, and certifications — and not enough of them measure the actual flow of work. Twenty years inside engineering organisations have taught a fairly simple lesson: the teams that ship reliably aren't the ones with the trendiest process. They're the ones who measure their flow, talk honestly about the data, and improve where the data points.

Every engagement starts with ticket data. Every conclusion is anchored on visible metrics. Every transformation roadmap names the number it's trying to move.

Independent. UK-based. Working with software organisations that are allergic to fluff and curious about the truth in their data.

Practice facts

Founded2018

BasedLondon, UK

LeadMatt — Principal

ServiceAgile delivery consulting

StackJira · Linear · Azure DevOps

DashboardsNave partner

MethodKanban · Monte Carlo · Flow metrics