Lean Digital Intelligence — True North Solutions

55% → 90%

On-time delivery lifted at a $100M manufacturer in nine months — value-stream mapping across order-to-delivery, then targeted Kaizen on the constraint steps. Operating cost down more than 30% in the same engagement, before any AI entered the picture.

63–84%

Cost improvement across delivered microbot cases. One invoice-processing bot cut rework by more than 99% and paid back its $34,200 build cost in 2.2 months — the foundation the AI agents now build on top of. Read the full case study →

2 days → 15 min

"We created a Global A3 for automation and used specific Kaizen projects to drive improvements — reducing the production time for creating a Manufacturing Record Book from 2 days to less than 15 minutes, making the process completely error-free." — Raghuram Muthukrishnan, ex-Digitalization Lean, UCT

300

Cumulative practitioner-years across the team, applied across 10 industries and 4 continents in more than 50 transformation engagements since 2018.

>$1.2M

Annualized savings achieved within 5 months of factory Kaizen implementation, delivering a 4X return on investment across 8 key operational productivity projects. — Case study: European manufacturing financial turnaround →

177%

Increase in daily output productivity (from 127 to 165 units/day) while reducing required headcount by 53% (15 FTEs down to 7) through targeted Kaizen line balancing and workplace reorganization. — Case study: focused process productivity improvement →

2.88 days → 4 hrs

Reduction in work-in-progress inventory time between screening and repair stages on a repair line, driving a $268,400 annualized saving by eliminating bottleneck waiting times and line imbalance. — Case study: repair productivity improvement

$371,250

Annualized cost reduction delivered by restructuring 12-hour shift patterns, eliminating unmanaged headcount variability, and implementing fixed-batch size production planning. — Case study: planning & shift pattern review

30%

Inventory reduction and station-level productivity improvement achieved by deploying a pull production system and conveyor-backed workflow. — Case study: pull production system

Our approach

One methodology, five stages, since 2018

Every engagement starts with understanding where your organization actually is, then declares a more powerful future and works, in order, toward it. The same five stages run whether the engagement is pure Lean or AI is part of the mix.

Assess

Listen to the voice of the client

Understand your needs and your organization's maturity — an environmental scan, vision/mission/values, a SWOT — so everyone's clear on what matters most and where the opportunity is.

Align

Identify the True North

Thoughtful conversations with your leadership, A3 thinking and Hoshin Kanri, to deploy resources against your ideal future state — dramatically improving alignment at every level.

Awaken

Create new awareness

Your people understand the "why" behind the "what," not just the mechanics — learning new, more effective ways of working and building consensus, hearts and minds.

Achieve

Lead the transformation

Design and lead the improvement projects themselves — unlocking value, eliminating waste, and introducing the digital technologies that earn their place.

Augment

Develop people, seek perfection

No transformation is ever finished. We transfer ownership and the methods to sustain it — building the internal talent and habits that keep improving after we leave.

How we assess:StrategyMacroMicroGround — see the full discovery engine below ↓

Where AI enters this approach — and where it deliberately doesn't — is the next question, below.

The AI layer

Deciding what belongs where is waste elimination, applied to AI

This isn't an IT question. It's a Lean judgment question, pointed at a new technology — routing every step of a workflow to exactly one place before anything gets built.

"Once that's true" is doing the real work in that sentence. Standard work isn't a document — it's proof, gathered on the floor, that a step behaves the same way every time someone runs it. Skip that proof and you're not deploying AI on a process — you're deploying it on chaos with a UI.

95%

of enterprise AI pilots fail — access was never the bottleneck

Source: MIT NANDA, "State of AI in Business," 2025.

The mistake

Pointing AI at a process nobody has fixed or standardized yet.

The fix, first

Standardize the operation first — that's where the real edge is.

Then, AI

Only then decide, step by step, where AI actually belongs.

"Always let the waste define the tool, never let the tool define the problem."
— Uma KA, The True North Compass, Ch. 18: The Lean Digital Revolution

Now that you can see how the work actually runs, routing each step correctly is the next Lean judgment call — not an IT decision.

Hover or tap each card to see how the same discipline changes with Lean + Digital Intelligence.