Brewster Consulting Group

10/13/2026

Most companies don’t have an AI idea problem.
They have a prioritization problem.

The real challenge is figuring out which opportunities are valuable, realistic, and actually supported by the processes, data, and systems you have today.

A simple place to start is by looking at three things together:
-Business value
-Implementation effort
-Operational readiness

You don’t need 40 AI projects.

You need to know which few deserve to go first.

10/12/2026

A missed deadline can look like a software problem. A bad handoff can look like a people problem. A recurring error can look like a broken process.

But the same symptom can come from very different root causes.

In this walkthrough, we take one operational issue and test it through three lenses: Process, People, and Technology.

The goal is simple: diagnose where the problem actually lives before spending time or money fixing the wrong thing.

Same symptom. Three possible causes. Three very different fixes.

10/09/2026

This one is meant to feel less like a presentation and more like sitting in on a process review.

We’ll take one workflow and inspect four things:
-Where does work wait?
-Where is information entered twice?
-Where does ownership get unclear?
-Where do exceptions leave the normal path?

Then we’ll rebuild what needs to change.

If you’re evaluating automation, new software, or a process redesign, this is the kind of work that should happen before anyone starts building.

Watch the walkthrough below.

10/09/2026

Try this the next time you review a process that has been around for a few years:
For every step, ask why it exists.

Not what happens there. Why it is there.

You’ll probably find some very good reasons.

You may also find an approval that was added after one incident and never removed, a spreadsheet built around a limitation the current system no longer has, or a manual check that duplicates something already being validated elsewhere.

That’s how process debt accumulates. Most of it started as a perfectly reasonable response to a real problem.

The useful follow-up is simple:
Does that reason still exist today?

If it doesn’t, the step deserves another look.

10/08/2026

One line from a Brewster article is worth revisiting:
"The issue is timing."

Traditional KPIs can be well designed, accurate, and completely appropriate for the business, and still tell leadership something too late to influence what happens next.

That is the distinction behind the shift from static metrics to real-time signals. It isn’t just a faster dashboard refresh. It’s deciding where the business actually benefits from knowing what is changing while there is still time to respond.

Not every number needs to be real-time. But some decisions cannot wait for the next monthly reporting cycle.

The full article gets into the larger implications for analytics, AI, governance, and organizational decision-making.

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Experts in Financial Services/Banking, Healthcare, Manufacturing, Small Business and Professional Services Consulting. Services are focused on Process Maturity, Complex Implementations, Mergers and Acquisitions, Project Management, Six Sigma Process Improvement, Data Governance, IT Consulting and An...

10/07/2026

Before a KPI earns space on a dashboard, give it six things:

A business definition. A source system. A start event. An end event. An exception rule. An owner.

That little bit of work upstream prevents a surprising amount of confusion downstream.

10/05/2026

Most process maps show you what is supposed to happen.

This one is about everything happening between the boxes.

We took a simple approval workflow and marked up the places we would investigate first: where work waits, where ownership gets fuzzy, where exceptions create a second unofficial process, and where a handoff adds more delay than the task itself.

The goal isn’t to make the diagram prettier.

It’s to figure out what is actually slowing the work down.

Watch the teardown below.

10/05/2026

A process can take four days without containing four days of work.

We see this when the actual tasks move pretty quickly, but one handoff introduces most of the delay. Review happens the same day. The next approval takes ten minutes once someone gets to it.

The problem is the two days the request spends sitting between those steps because ownership is unclear or nobody knows it is waiting.

That changes how you approach the problem.

Instead of asking, “How do we make this entire process faster?” start by finding the point where work stops moving normally.

You may not have a four-day process problem.

You may have a two-day handoff problem.

05/06/2026

One of the easiest ways to make process mapping not useful is going too detailed too fast.

We see teams jump straight into documenting every click and every step, basically trying to build a full SOP before they’ve even aligned on how the process works at a high level.

And that’s usually where things get stuck.

Because most of the time, the real issue isn’t in the fine details. It’s how the process flows across teams in the first place.
That’s why thinking in levels matters.

At a high level, you’re just answering: how does this process move from start to finish?

At the next level down, you’re looking at how each part actually operates.
Only after that does it make sense to get into the step-by-step detail.
If you skip straight to the bottom, you end up optimizing pieces of a process that might not even be structured correctly to begin with.

Start high. Get alignment. Then go deeper where it actually matters.

It’s a small shift, but it tends to save a lot of time, and a lot of rework.

05/04/2026

We’ll be in Tulsa on May 20th for the Oklahoma Business Expo (hashtag ).

If you’re a business owner, operator, or part of a growing team in the area, this is one of those events worth showing up to, good conversations, strong network, and a lot of insight being shared in one place.

We’ll have a booth there, and if you stop by, we’re happy to talk through what we’re seeing across operations right now, where businesses tend to get stuck, what’s actually working, and where teams are starting to use data and AI more effectively.

If you’re planning to attend, we’ll see you there!