ELA Consulting Services

ELA Consulting Services AI won't replace employees, employees who use AI will.

ELA helps organizations close that gap: AI-ready employees, stronger leaders, and a culture built for what's next.

Ottawa wants business AI adoption to grow from just over 12% to 60% by 2034.That's the goal of Canada's AI for All strat...
09/30/2026

Ottawa wants business AI adoption to grow from just over 12% to 60% by 2034.
That's the goal of Canada's AI for All strategy, launched in June 2026.

Here is the catch.

In a 2025 University of Melbourne and KPMG study of 47 countries, only 34% of Canadians said they were willing to trust AI.
That means trusting the safety and security of using AI systems and their impact on society.

This trust has declined since 2022: Across the 17 countries surveyed in both 2022 and 2024, people became less willing to rely on AI.

The same study looked at employees who use AI at work. While trust encourages use, AI literacy was the strongest predictor of both use and critical thinking (checking and questioning what the tool gives you).

So, what people need is trust in AI and the skill to question the output.

For your team, that makes upskilling essential.

At ELA, we see it this way: Trust comes first. Skills follow.
And we can support you with both.

Does your team trust AI?

09/28/2026

SIGNATURE SERIES: THE METRIC LIES

Seats activated. Logins up. Usage trending green. Looks like adoption. It isn't.

That dashboard measures activity, not capability.

We've all seen this before. Course completion rates: 90% finished the module, box ticked, reported up the chain, and the quality of the work didn't change at all. Finishing was never the same as being able to do the job.

Seats activated is the AI version of a completion rate. Someone logging in once to rewrite an email is not using AI. The dashboard says yes. The work says no.

Ever seen a green dashboard hide a team that changed nothing?

Share in comments and follow for more.

57% of employees hide the fact that they use AI at work.Your best people may be among them.They are finishing faster. Hi...
09/25/2026

57% of employees hide the fact that they use AI at work.

Your best people may be among them.

They are finishing faster. Hitting every deadline. And quietly deciding not to tell you how, because they are not sure whether using AI counts as clever or as cheating, and they would rather not find out the hard way.

That silence costs you twice. You lose the visibility to reward it, and you lose the chance to spread what works to the rest of the team.

People hide AI use when the culture has not made it safe to be open about it. Fixing that starts with the people leaders, not the tools.

That is the culture shift ELA helps you build.

Let's talk. [email protected]

There is a version of AI adoption that quietly makes your team weaker.It looks like success at first. Faster output, les...
09/24/2026

There is a version of AI adoption that quietly makes your team weaker.

It looks like success at first. Faster output, less effort, cleaner drafts.

Then one day something unusual lands, the kind of thing that needs real judgment, and the person who used to have that judgment has not exercised it in months.

The skill did not disappear overnight. It eroded, one shortcut at a time, while everyone was celebrating the speed.

Using AI well is not about leaning on it for everything. It is about knowing which parts of the work still need a human who understands them. That is a skill in itself, and it has to be taught.

Teaching that judgment is exactly what ELA does.

Let's talk. hello@elaconsultingservices

Nearly 60% of executives say the biggest barrier to responsible AI isn't the tools, it's a knowledge and training gap.Th...
09/24/2026

Nearly 60% of executives say the biggest barrier to responsible AI isn't the tools, it's a knowledge and training gap.
That's McKinsey, in AI governance research published this week alongside five other major consulting firms.

That number gives away a blind spot most organizations have right now.

They treat AI literacy and AI adoption as the same thing.

They are not the same thing. Literacy is the prerequisite knowledge. Adoption is the organizational behavior change that knowledge is supposed to produce.

You can have a fully literate team and still have zero adoption. Everyone understood the demo. Nobody changed how they work the next day.

That gap, between knowing AI and actually changing how your people work, is what ELA closes.

If that's where you are, let's talk. [email protected]

09/24/2026

You can train an entire team on AI, and watch the whole thing revert within weeks. Here is the usual reason: Their people leader cannot model it.

A team goes back to their desks with new skills on Monday.
By week three, a leader asks why a report took as long as it used to, or hints that the AI-assisted version is not quite real work.
The team reads the signal, and quietly goes back to the old way.

The people leader is not the enemy here.
They were simply never equipped to lead a team that works differently now.
That is a fixable gap, and it is the one that decides whether any of the training holds.

ELA trains people leaders alongside their teams, for exactly this reason.

Let's talk: [email protected]

09/22/2026

SIGNATURE SERIES: SKIP THE DIAGNOSIS...

Most companies can't tell you why their AI isn't being used. They just know it isn't.

But when something is off, the reflex is "send people to training," rather than investigating the reasons right away. Fix the wrong cause, and you spend real money changing nothing.

AI adoption is repeating it exactly. Nobody's using the tool, so the instinct is "book a workshop" or "buy some more online courses."

But nobody asks why they aren't using it. Is it fear? No time? No idea how it fits their day? One bad experience that made them quit? Each of those needs a completely different fix.

Skip the questions, and you're guessing. Guessing is expensive.
What's the tendency in your company? Train first, or ask why first?

Share in the comments and follow for more posts.

09/22/2026

SIGNATURE SERIES: THE TOOLS ILLUSION
You bought another AI tool this quarter. Adoption still didn't move.
We've all seen this before.
I spent 20 years in L&D, and I watched companies caught in the same trap: when results were flat, the instinct was always to blame the tool; maybe the wrong tool was procured, or maybe the tool changed in the meantime.
Now I'm watching the identical temptation when it comes to AI. Usage is flat, so get another tool: add Claude or ChatGPT. One of them will surely stick.
They don't. “More tools” was never the problem.
Your people don't need another license. They need to know how to use the one they already have, in the work they actually do.
So if the tools aren't the problem, what is? Share in comments.
If it sounds like your company and you'd rather talk it through privately, feel free to reach out at elaconsultingservices.com.
And follow for the next post.

Most AI training doesn't stick, especially for small business teams.Here is the pattern I see. A team sits through a one...
09/22/2026

Most AI training doesn't stick, especially for small business teams.
Here is the pattern I see.
A team sits through a one-day workshop. Everyone nods. There is energy in the room. Six weeks later, nothing has changed, and the tools are gathering dust again. The workshop was not wrong. It was just incomplete.
A single day of information cannot change how 40 people do their jobs, any more than one gym session makes you fit.
Behaviour change needs role-specific application; it needs the fear addressed honestly, and it needs support after the room empties.
Skip those, and you have bought a nice day out, not a different way of working.

You bought the AI tools. So did your competitors.The subscription is not the advantage. Everyone in your sector has the ...
09/22/2026

You bought the AI tools. So did your competitors.
The subscription is not the advantage. Everyone in your sector has the same access, often the same tools, sometimes on the same day.
The advantage is what your people can actually do with them. A trained team and an untrained team can hold identical software and produce completely different results. One turns it into faster, better work. The other lets it sit there, half used, a line item nobody questions.
The tool was never the edge. The skill is. And the skill is the part almost no one invests in.

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