Imagine your corporate partnerships team working with live data, an AI assistant that genuinely understands charitable giving, and your own judgement and empathy.

Not guesswork.
Not static prospect lists.
Not “let’s see who might care”.

This is about finding the companies that already care about what you do, and starting conversations that actually make sense.

What This Looks Like in Practice

Below are four real introductions written to companies that publicly supported World Cancer Day last week.

Each message starts with what the company actually shared.
Each reflects a different motivation for showing support.
Each leads naturally into a conversation about from a cancer support charity.

CHASE

“I wanted to reach out after seeing your World Cancer Day post last week, where you shared a story from one of your colleagues about supporting a loved one through cancer. It struck me how openly you acknowledged the emotional realities so many people face, and how you encouraged your team to look out for one another.

Thermo Fisher Scientific

“I wanted to reach out after seeing your World Cancer Day post last week, where you highlighted how advances in imaging and spatial biology are helping researchers see immune cells as they attack and destroy cancer cells. It really stood out how you connected complex science to the real experiences of people facing cancer.”

Hollywood Bowl Group

“I wanted to reach out after seeing your World Cancer Day post last week, where you encouraged open conversations about cancer and highlighted the importance of supporting colleagues who may be affected. Creating space like that genuinely helps people feel less alone.”

None of these messages are generic.
They only work because the context is real.

How AI and Good Data Make This Possible

This is where the shift happens.

Instead of starting with:
“Who should we target this year?”

You start with:
“Who showed us they care?”

In this example, Bernard was asked to identify UK companies that publicly supported World Cancer Day. He analysed company posts, blogs, press coverage, and staff communications, and returned hundreds of organisations demonstrating real alignment through action, not statements.

This same approach works far beyond awareness days.

Find the Companies That Care About What You Care About

The signal does not have to be World Cancer Day.

It could be:

• Companies talking publicly about charities they support
• Businesses running mental health initiatives for staff
• Teams sharing stories around carers, inclusion, or wellbeing
• Employers hosting Bring Your Dog to Work days to support workplace culture

Wherever a company shows what it values, there is a signal.

AI makes those signals visible.
Good data makes them usable.

Train AI on Your Mission, Not a Script

Once the signal is identified, Bernard is trained on your charity.

That includes:

• Who you help
• Why your work matters
• The outcomes corporate support enables
• The tone you use when speaking to partners

This is not about replacing human relationships.
It is about giving AI enough understanding to recognise genuine alignment when it sees it.

Speak to the People Behind the Action

From there, the focus shifts to the people:

• CSR and sustainability leads
• HR and people teams
• Marketing teams driving campaigns
• Corporate partnerships contacts

You are no longer prospecting at companies.
You are starting conversations with people who already care about something relevant to your mission.

Precision Over Volume

When outreach starts from real behaviour, the message writes itself.

Not:
“We’d love to partner with you.”

But:
“We saw what you did. It mattered. Would you ever like to talk?”

That is the difference between noise and relevance.

A Better Future for Charitable Giving

AI does not replace empathy.
Data does not replace relationships.

Together, they allow charities to:

• Stop guessing
• Stop chasing cold lists
• Start conversations at moments that genuinely matter

Find the companies that care about what you care about.
Then speak to them like you have been paying attention.

That is how AI and good data can truly revolutionise charitable giving.