FreQNC's AI Bottleneck Diagnostic
Some of your bottlenecks are saving you. Find out which.
AI has made your engineers faster, but checking their work hasn't kept up. The AI Bottleneck Diagnostic shows you, in three weeks, where you can safely go faster, where something serious could slip through, and what to change.
Apply for a design-partner placeTeams, never individuals · We never read your code · Data deleted within 14 days
Area · Payments
Fix the waiting, keep the check.
Area · Customer data
The pressure
You've gone all-in on AI coding. The board wants to know it's paying off. The team is told to ship faster, often with fewer people than last year.
And for a while, it works. More code, more changes, more pull requests than ever.
What's changed
AI made writing code fast. It didn't make the people checking it faster.
Every change still needs a human to read it before it reaches customers. Those changes are now arriving many times faster, and many times bigger, but the number of people checking them is the same. The slow part of shipping software isn't writing any more. It's checking.
Illustrative
The trap
When checking can't keep up, one of two things happens.
Changes wait for review, and the speed you paid for disappears into a queue.
“Approved” quietly stops meaning “read”.
Most leadership teams can't tell which is happening, or where. Your engineering dashboards measure speed. None of them measure what review is catching.
The turning point
Some bottlenecks are protecting you.
Here is what we heard again and again in our research with engineering and product leaders: a slow review queue isn't always waste.
Sometimes it's the thing stopping a costly mistake reaching a customer. Speed that queue up blindly and you've removed your safety net. Leave a leaking one alone and you're paying for checks that don't check.
Slow but protecting you
Hold steady. Fix the waiting, keep the check.
Fast and safe
Keep going.
Slow and still leaking
Change how it's reviewed.
Fast and leaking
Slow down here first.
Speed: slow → fast
The Diagnostic tells you which is which.
What did your last bad release cost you?
The output
What you get
In three weeks, for the three to five areas of your product where a mistake would hurt most, such as payments or customer data:
One-page board summary
A verdict for each area and the one thing to do.
Short report
The hours lost to waiting set against the cost of problems that got through, using your own estimate of what a bad release costs.
Engineer summary
So the people doing the checking see the findings too.
One-hour session
Your leadership team decides what to act on.
Sometimes the answer is “you're fine, speed up”. We'll say that as confidently as “slow down”.
Apply for a design-partner placeOur commitments
Built so your engineers say yes
- We report on teams, never individuals.
- It is never a headcount analysis.
- We read GitHub activity records, never your code, comments or names. No code leaves your systems.
- Your data is deleted within 14 days of the report.
FreQNC Limited
It takes very little of your team's time: one developer for 30 minutes, two team leads for 30 minutes each, and one hour of leadership time.
If you're the CEO
See where AI is speeding you up and where it's quietly adding risk, with a cost on each, so you can push for speed where it's safe.
If you lead engineering
Get independent evidence to show the board where checking is protecting you, and where you can safely go faster. It's an outside verdict, not the team marking its own homework.
Who it's for
The Diagnostic is for software companies of about 20 to 150 people, with 8 to 30 engineers, on GitHub, using AI coding tools every day, and selling to customers for whom a bad release is costly or visible.
Apply
Before you speed up, find out what your slow bits are protecting.
We're taking a small number of design partners: early clients who get the Diagnostic on early terms.
Questions
Do you look at our code?
No. We read GitHub activity records such as when changes were opened, reviewed and approved. Your code, comments and people's names never leave your systems.
Will this be used to judge individual engineers?
No. Every finding is at team level, and it is never a headcount analysis.
How much time does it take from us?
About three and a half hours across your team, spread over three weeks.
What does it cost?
Design partners get the Diagnostic on early terms. We'll talk you through them on a short call.