Part 1 of 4: Why Business Complexity Is Making Growth Harder (Despite More Data, AI and Investment)
- Barbara Stewart

- Apr 12
- 4 min read
Updated: Apr 13

Why is business not getting easier?
Seriously… why not?
If you took the tools, technology and capabilities we have today and gave them to businesses in the 60s, 80s or even early 2000s…
They would be flying.
We have more than ever
Today, organisations have access to capabilities that previous generations could only have imagined.
We have:
more data than ever, including predictive and intent-based data
more tools than ever, across every part of the commercial ecosystem
more specialisation, entire functions dedicated to optimisation
more training, frameworks and best practice
more investment than ever
We’ve created:
Chief Revenue Officers to unify growth
global supply chains with extraordinary efficiency
sophisticated marketing and digital ecosystems
And when we don’t have the answers internally?
We outsource to the smartest people in the world.
And yet…
Growth is getting harder.
Execution is slower.
Marketing is less effective.
Organisations are:
busier than ever
but less productive than they should be
more sophisticated
but less coherent
So what’s going on?
The easy answer is business complexity but that is not the full picture
The obvious explanation is complexity.
Yes, organisations are more complex:
more markets
more products
more channels
more stakeholders
But here’s the problem: We’ve spent decades and billions trying to solve complexity.
Through:
transformation programmes
technology investments
operating model redesigns
consulting engagements
If complexity was the real issue, we should have solved it by now.
But we haven’t.
A different hypothesis
The problem isn’t what we’ve added.
It’s what we’ve lost.
What businesses used to do better
50 years ago, businesses did something fundamentally different.
They didn’t have our tools.
They didn’t have our data.
They didn’t have our technology.
But they did have something we’ve lost.
They worked through problems together.
They:
brought the right people into the room
debated properly
challenged assumptions
aligned on what actually mattered
They understood:
how the business operated
how decisions were made
how value flowed across the organisation
They took time to:
understand the “why”
not just react to the “what”
And critically…
They thought across time horizons:
short term
medium term
long term
Not just the next quarter.

This wasn’t theory, it was operational reality
This isn’t nostalgia.
Some of the most respected operational systems today come from that mindset.
Toyota’s production system.
Lean manufacturing.
The foundations of agile.
These weren’t created by:
tools
platforms
consultants
They were created by people deeply understanding:
how work actually flows
where friction exists
how to align the system
What changed
Somewhere along the way, we stopped doing that.
Not deliberately.
But structurally.
The behavioural shift
1. From shared understanding → to functional ownership
Instead of solving problems together:
marketing owns marketing
sales owns sales
operations owns operations
The system gets fragmented.
2. From debate → to alignment theatre
We still meet.
But:
less challenge
less friction
less real debate
More:
updates
presentations
surface-level agreement
3. From understanding → to output
We replaced deep understanding
With:
deliverables
decks
frameworks
The appearance of progress replaced actual progress.
4. From problem-solving → to programme management
We became excellent at:
managing initiatives
tracking milestones
reporting progress
But less effective at solving the underlying problem
5. From long-term thinking → to compressed horizons
What used to be long-term thinking: 5–10 years
Is now: 4–6 months
Everything is optimised for:
short-term delivery
immediate outputs
At the expense of structural improvement
The structural consequence
As complexity increased, organisations responded by adding:
layers
systems
functions
governance
processes
But they never rebuilt the organisation to work as one system.
What actually happens inside organisations today
Instead of becoming more aligned:
silos harden
decision latency increases
execution drifts
duplication becomes normal
teams compensate manually
And the cost shows up as:
delay
rework
inefficiency
leadership drag
Why modern solutions don’t fix it
So we try to solve it with:
more tools
more AI
more transformation
more external expertise
But most of these approaches:
manage complexity
add layers
treat symptoms
And leave the root cause intact.
As business complexity increases, organisations struggle to maintain alignment and execution.
The uncomfortable truth
Most organisations don’t have a capability problem.
They have a coherence problem.
Why this matters now more than ever
AI, automation and advanced tools are accelerating everything.
But they don’t fix misalignment.
They amplify it.
If the system is fragmented: AI makes fragmentation faster
If decisions are unclear: AI increases noise
If teams aren’t aligned: AI scales inconsistency
So what’s the real question?
It’s not:
“What tools are we missing?”
“What capability do we need to add?”
It’s:
“How does our business actually work?”
“Where does it break?”
Final thought
Maybe the reason business isn’t getting easier…
Is because we’ve been trying to solve the problem from the outside.
Adding:
tools
frameworks
programmes
Instead of fixing it from the inside:
how the organisation actually works
how decisions are made
how teams align and execute
Because until that changes…
No amount of investment
No amount of technology
No amount of AI
Will make things easier.
Maybe the problem isn’t what we’re adding.
Maybe it’s what we stopped doing.



