Decision Intelligence on Christa Burger

AI Loves a Pancake: Why Good AI Should Not Flatten Complex Work

Fri, 19 Jun 2026 00:00:00 +0000

AI has a tendency to turn complex situations into pancakes.

Flat. Neat. Easy to consume. Missing several load-bearing ingredients.

Sometimes that is fine.

Sometimes you need the pancake.

But serious work often has layers:

Operational
Financial
Human
Strategic
Ethical
Historical
Political
Timing-related

Good AI should help hold those layers without making the next action impossible.

That is the balance.

Clarity without flattening. Structure without pretending the situation is smaller than it is.

AI Is Best at the Work Before the Work

Wed, 20 May 2026 00:00:00 +0000

Most of the burden is not the task.

It is the work before the task.

Finding the context. Reading the history. Checking the numbers. Remembering what happened last time. Figuring out who needs to care. Deciding what decision is actually needed.

By the time you start the “real” work, half your energy has already been mugged in the parking lot.

AI is very good at this layer.

It can:

Gather context
Summarize history
Compare versions
Surface changes
Draft the starting point
Identify the decision

This is not glamorous.

AI Should Prepare Decisions, Not Replace Human Judgment

Mon, 27 Apr 2026 00:00:00 +0000

Most leaders are not lacking judgment.

They are lacking clean inputs. Good context. Sometimes, a general curiosity to understand.

AI can fix two of those things.

By the time a decision reaches a senior leader, it is often wrapped in six emails, three Slack threads, a deck, two side conversations, a deadline that is now their problem, and the risk of it all dumped into their lap.

From there, what happens next is highly dependent on the leader and their risk tolerance.

What AI Governance Actually Means (And Why Most Organizations Get It Wrong)

Sat, 28 Mar 2026 00:00:00 +0000

When most organizations hear “AI governance,” they think one of two things: a policy document nobody reads, or a legal team saying no to everything.

Neither is governance. Both are avoidance.

Real AI governance is the architecture through which an organization makes decisions about AI — consistently, accountably, and in alignment with its values. It answers three fundamental questions:

Who decides? When an AI system affects employees, customers, or communities — who has authority over that decision? Who can challenge it? Who is accountable when it goes wrong?