Intelligence from the Field

Strategic thinking and practical guidance grounded in building applied AI, data and software systems for real operational and commercial problems.

Browse the Glossary
AI and EBITDA: how to link technology investment to financial outcomes

Perspectives

AI and EBITDA: how to link technology investment to financial outcomes

AI and EBITDA: a practical framework for PE operating partners to link AI investment to measurable financial outcomes, governance and exit value.

Read More
What a strong data infrastructure looks like at exit

Perspectives

What a strong data infrastructure looks like at exit

Strong data infrastructure at exit reduces diligence risk and supports multiple expansion. Here's what PE-backed businesses need to build before the process starts.

Read More
How to run an AI audit on a newly acquired business

Perspectives

How to run an AI audit on a newly acquired business

AI audit for newly acquired businesses — a practical framework for PE operating partners to assess data capability, AI maturity and value creation potential post-close.

Read More
AI governance for PE-backed businesses: what operating partners need to know

Perspectives

AI governance for PE-backed businesses: what operating partners need to know

AI governance for PE-backed businesses: what operating partners need to know to protect value, manage risk and prepare portcos for exit.

Read More
Why most PE portfolio AI projects fail — and what to do differently

Perspectives

Why most PE portfolio AI projects fail — and what to do differently

PE portfolio AI projects fail for predictable reasons. Learn the sequencing mistakes operating partners make — and how to protect capital and create real value.

Read More
How to identify AI value creation opportunities in the first 100 days

Playbooks

How to identify AI value creation opportunities in the first 100 days

AI value creation in the first 100 days: a practical framework for PE operating partners to identify, score and prioritise high-impact opportunities post-acquisition.

Read More
The hidden data risks in mid-market M&A deals

Perspectives

The hidden data risks in mid-market M&A deals

Data risks in mid-market M&A are routinely missed in financial due diligence. Here's where they hide and how to find them before close.

Read More
Announcing Quantsole: A Simpler Way to See and Use Your Data

Field Notes

Announcing Quantsole: A Simpler Way to See and Use Your Data

Announcing Quantsole: A Simpler Way to See and Use Your

Read More
How AI is reshaping operational improvement in PE-backed businesses

Perspectives

How AI is reshaping operational improvement in PE-backed businesses

AI is reshaping operational improvement in PE-backed businesses. Here's how operating partners should sequence deployment to protect and expand exit multiples.

Read More
What is a data strategy and why does it matter at due diligence?

Perspectives

What is a data strategy and why does it matter at due diligence?

What is a data strategy and why does it matter at due diligence? A practical framework for PE investors assessing data risk before close.

Read More

Showing 71–80 of 119 insights