Human Productivity with AI

Five days of output.
Three days of effort.

We embed with your teams to redesign how work actually gets done with AI — starting with the fastest route to measurable productivity gains. No strategy decks. Real workflow change.

Book a Productivity Assessment See How It Works →
40% Average productivity gain
3 days To first measurable impact
5x Faster cycle times on reworked workflows

The Challenge

Why most AI adoption stalls

Your teams attended the workshops. They saw the demos. They genuinely wanted to change how they work.

Then Monday came. The tools were unclear, the permissions were missing, and the old way was still the path of least resistance.

The gap between knowing and doing is where AI adoption goes to die. Not from lack of interest — from lack of system change.

Three barriers hold teams back

Adoption fails for predictable reasons. We reduce friction across all three.

01

Knowledge

People learn concepts but can't apply them to their actual work

We teach by doing, inside your real workflows

02

Access

The right tools exist but permissions, policies, and procurement slow everything down

We clear the path before asking people to walk it

03

Culture

Without visible leadership signals, people default to what's safe

We make early wins visible so permission becomes contagious

This is why we don't "just train". We redesign work, make AI usable, and create the conditions for new habits to stick.

Our Approach

How we close the gap

Our approach is built around six principles that turn AI potential into workflow reality.

Learn by doing, not by slideshow

We put AI in your hands from day one. No lecture halls. Real tools, real tasks, real learning.

We work where you work

We sit with your teams, inside your processes, removing friction as we find it. Operators in the work, not advisors on the sideline.

Half-day co-labs. Two-week sprints.

Short, focused bursts create urgency and surface what's working — fast. No six-month roadmaps gathering dust.

We name the ceiling others ignore

Off-the-shelf tools get you 80% of the way. We make that ceiling explicit — then help you break through it.

Less rework, not more AI

We don't measure AI adoption. We measure shorter cycle times, fewer errors, and higher-quality output.

A flywheel, not a one-off

Each sprint builds capability for the next. We design systems that compound — not programmes that expire.

The Ambition

The 3-day work week

Not literally working fewer days — but consistently delivering five days of outcomes in three days of effort.

In practice, that means freeing time so people can spend more of it on the things that require human judgement, creativity, relationships, and decision-making — with AI doing more of the drafting, searching, structuring, and repetitive transformation that currently consumes attention.

What We Build

AI-native teams

Teams that don't "sometimes use AI", but default to AI as part of how work gets done.

“An AI-native employee isn't someone who 'uses AI'. It's someone who defaults to AI.”

— Elena Verna, Loveable
01

Default to AI-first exploration

Start by testing whether AI can help, where it can help, and what "good" looks like.

02

Communicate naturally with AI

Clarify goals, constraints, inputs, outputs — so work becomes easier to delegate and review.

03

Use AI as a sparring partner

Generate options, stress-test assumptions, compare trade-offs — without outsourcing judgement.

04

Iterate fast

Treat outputs as drafts. Version prompts. Improve quality through quick cycles, not one big attempt.

05

Verify intelligently

Know what must be checked, what can be sampled, and what can be guarded by simple quality controls.

06

Find new ways to create value

Use AI to do things completely differently and do work that hasn't been possible before.

Outcomes

Three shifts that change how your team works

We don't measure "AI adoption." We measure whether your workflows actually improved.

01

Some work just stops being necessary

Steps removed. Handovers eliminated. Duplication gone.

  • Unnecessary approval loops collapse into direct flows
  • Manual data transfer between systems gets automated
  • Duplicate work across teams becomes single-source
30-60% fewer process steps
02

The work that remains gets significantly better

Faster cycles. Fewer errors. More consistency.

  • First drafts arrive in minutes, not days
  • Quality checks become systematic, not manual
  • Rework loops shrink as AI catches inconsistencies upstream
2-5x faster cycle times
03

Work you could never justify becomes routine

More prototypes. Deeper analysis. Faster decisions.

  • Explore 5 strategic options instead of debating 2
  • Generate market analysis that would have taken a week
  • Run scenario planning that was previously "nice to have"
3-10x more options explored

How We Measure

Measurement is not an afterthought. It is the engagement.

Every workflow we touch gets a baseline. Every change gets measured. We share the dashboard with you in real time. No black boxes. No "trust us." Just numbers.

Cycle Time

Time from start to done

e.g. Proposal generation: 4 days → 11 hours

Rework Reduction

Errors caught, loops avoided

e.g. Review cycles: 3.2 → 1.4 per deliverable

Quality Consistency

Output reliability across the team

e.g. First-pass approval: 45% → 82%

Throughput

Volume and variety of completed work

e.g. Deliverables per sprint: 6 → 14

Capability Signals

AI fluency across the team

e.g. Daily AI usage: 12% → 73%

Adoption Signals

Sustained behaviour change

e.g. Workflow templates reused 30 days post-engagement

How We Work With You

Your path to AI-powered productivity

Five engagement types. One clear journey. Most clients blend and sequence them based on where they are today.

1

AI Experience

Fast, high-energy immersion in what modern AI can actually do

Half day – Full day Teams not yet taking steps to implement AI
+

“This is where eyes open.”

  • Live demonstrations of AI applied to your industry context
  • Hands-on time with tools your team can use immediately
  • A shared vocabulary and baseline understanding across the group
  • Clear picture of where AI creates value vs. where it doesn't
2

Masterclass

Focused deep-dive on a specific capability area, delivered by practitioners

60 mins – Half day Teams who want to upskill quickly in a specific area
+

“This is where awareness is triggered.”

  • Practitioner-led instruction on a chosen capability area
  • Frameworks your team can apply the same week
  • Reusable templates, prompts, and workflows aligned to your context
  • Q&A with someone who has implemented this at scale
3

Co-lab

Collaborative, hands-on problem-solving with AI. You leave with usable outputs, not sticky notes.

Half day – 2 days Teams ready to move from ideas to first real utility
+

“This is where learning happens.”

  • Real problems from your context worked through with AI
  • Prototype workflows or outputs you can use immediately
  • Documented approach your team can replicate
  • Confidence to run the next experiment independently
4

Productivity Sprint

Tight, outcome-driven engagement embedded alongside your team for measurable results

2 weeks Teams who want measurable movement fast
+

“This is where work starts changing.”

  • Defined productivity outcomes scoped and agreed upfront
  • Two weeks of embedded, hands-on work with your team
  • Measurable before-and-after comparison on real workflows
  • Playbook for sustaining the gains independently
5

Workflow Re-engineering

Embedded productivity engineers running disciplined 2-week sprints across complex workflows

4 – 12 weeks Functions where productivity gains matter and complexity is real
+

“This is where transformation happens.”

  • End-to-end workflow analysis and redesign
  • Embedded productivity engineers working in 2-week sprint cycles
  • AI solutions: agents, automations, integrations, knowledge patterns
  • Enablement that changes behaviour: habits, rituals, coaching, champions
  • Practical measurement approach with documented uplift

How clients typically combine these

1 → 3 → 4
Explore, build, accelerate
1 → 3 → 4 → 5
Full transformation journey
2 → 4
Targeted upskill, then sprint

Lasting Value

What we leave behind

We leave behind changed work and a repeatable adoption system — not just a set of recommendations.

Workflow Assets

Prompt patterns, templates, quality checks, reusable workflows, GPTs, and lightweight helper tools.

Capability Layer

Champions, shared practice, real examples, and an operating rhythm that keeps improvement continuous.

Cultural Accelerators

New ways of working, incentives, and principles that make the right behaviour the easy behaviour.

Opportunity Pipeline

Clearly framed options for higher-leverage opportunities uncovered through embedding in the real work.

Ready to change how your team works?

Most journeys begin with a conversation. Tell us where your team is today, and we'll recommend the right first step.

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