AI for Major Gifts Fundraisers #3: Don't Automate Trust

AI can strengthen major gifts fundraising, but it cannot replace judgement

Artificial intelligence is becoming increasingly useful in major gifts fundraising.

It can help fundraisers prepare for meetings, organise prospect information, generate thoughtful questions, test objections, build cultivation plans and turn meeting notes into structured follow-up actions. Used well, it can improve preparation, consistency and speed.

But there is an important distinction.

AI can support the work but it cannot own the relationship.

That matters because major gift fundraising is not simply a process of producing better briefs, asking better questions or writing better follow-up emails. It depends on trust, timing, judgement, emotional intelligence and organisational discipline.

The risk is not that fundraisers will use AI.

The risk is that they will use it without enough judgement.

Where AI adds real value

AI is particularly helpful where fundraisers need structure.

Before a donor meeting, it can help produce:

• A concise briefing note
• A suggested agenda
• Questions designed to uncover motivations
• Likely concerns or objections
• Scenario plans for different meeting outcomes
• Clear roles for the fundraiser, CEO or trustee

After the meeting, it can help turn rough notes into a usable CRM record, identify follow-up actions and clarify who needs to do what next.

It can also support longer-term cultivation by helping fundraisers map stakeholders, plan engagement, identify stewardship opportunities and create realistic relationship timelines.

These are useful applications because they reduce administrative burden and create more space for strategic thinking.

But only if the output is checked.

AI output is not evidence

One of the most significant risks is misplaced confidence.

AI-generated content often sounds plausible, polished and authoritative. That does not mean it is accurate.

In major gifts fundraising, that distinction is critical.

A donor briefing that includes an invented connection, an assumed motivation or an unsupported estimate of capacity can damage internal decision-making. In the worst cases, it can undermine trust with the donor.

Every AI-generated output should therefore be treated as a draft.

Before it is used, fundraisers should:

• Check factual claims against the original source
• Separate known information from interpretation
• Remove unsupported assumptions
• Test whether the recommendation reflects the actual relationship
• Review the tone and language
• Apply professional and ethical judgement

The fundraiser remains accountable for the final output.

Not the technology.

Data protection cannot be an afterthought

The practical convenience of AI can make it easy to paste more information into a system than is necessary.

That creates risk.

Fundraisers should not place sensitive personal information, private correspondence, unredacted meeting notes or unsupported internal opinions into public AI tools.

The principle should be simple:

Use the minimum information necessary.

Where possible, anonymise the material. Replace names with role descriptions. Remove identifying detail. Avoid entering anything the donor would not reasonably expect to be processed in this way.

A useful test is:

Would you be comfortable explaining this use of information directly to the donor?

If the answer is no, stop.

AI cannot read the room

A donor meeting is not a scripted exercise.

AI can suggest questions, talking points and possible objections. It cannot reliably interpret trust, hesitation, discomfort, power dynamics or the meaning of silence.

It cannot know whether the donor feels rushed.

It cannot judge whether the meeting should move towards an ask or away from one.

It cannot always see the organisational politics affecting the conversation.

Those decisions still depend on the fundraiser's judgement.

The strongest use of AI is therefore not to script the meeting, but to improve the quality of preparation.

Use it to explore scenarios.

Use it to challenge assumptions.

Use it to identify gaps.

Then put the prompt away and listen.

Leadership preparation needs clarity, not volume

AI can also be valuable when preparing a CEO or trustee for a donor conversation.

But senior leaders rarely need a long briefing pack, they need clarity.

A strong preparation note should tell them:

• Why the meeting matters
• What the donor may care about
• What their specific role is
• What questions they should ask
• What to avoid
• What the desired next step is

The aim is not to give the CEO or trustee a script.

It is to help them contribute with confidence and discipline.

That is particularly important in organisations where leadership involvement is inconsistent, unclear or overly dependent on the fundraiser.

The most important moment comes after the meeting

Many donor relationships do not stall because the meeting went badly.

They stall because nothing happens afterwards.

The follow-up is vague.

Ownership is unclear.

The next move is not agreed.

A leadership decision is delayed.

The CRM is updated, but the relationship does not move.

AI can help impose structure here, but the organisation must still make decisions.

A useful post-meeting record should distinguish between:

• What the donor actually said
• What the fundraiser interpreted
• What remains uncertain
• What the agreed next step is
• Who owns it
• When it will happen
• What leadership input is required

This is where better preparation becomes better performance.

Without ownership and action, even a well-run meeting becomes another entry in the database.

The real skill is not prompting

There is growing interest in prompt libraries, templates and AI tools for fundraisers.

They are useful.

But they are not the main capability organisations need to build.

The real skill is knowing:

• What information to provide
• What not to provide
• What output to trust
• What to challenge
• What to ignore
• When human judgement must override the tool

AI can improve the mechanics of major gifts fundraising.

It cannot replace the relational, ethical and organisational conditions that allow major gifts to happen.

Used well, it creates better preparation, better questions and more disciplined follow-up.

Used poorly, it creates confident-looking material without the judgement required to use it safely.

The principle is straightforward:

Use AI to support better fundraising, not to automate trust.

Get the toolkit

Our AI for Major Gifts Fundraisers toolkit includes practical prompts and guidance for donor meetings, cultivation, briefing, scenario planning, follow-up and leadership preparation.

To receive the toolkit, comment TOOLKIT on the LinkedIn post or send Robson & Mitchell a direct message.

LinkedIn post introduction

AI can help major gifts fundraisers prepare more effectively.

It can build briefing notes, suggest questions, test objections, create cultivation plans and structure post-meeting follow-up.

But there is a line it cannot cross.

It cannot judge trust.

It cannot read the room.

It cannot decide whether the timing is right.

And it should never be treated as a substitute for data protection, ethical judgement or relationship insight.

Our latest carousel on LinkedIn looks at how to use AI well in donor meetings and cultivation, including the safeguards that are often missing.

The real skill is not writing better prompts. It is knowing what to accept, what to challenge and what to ignore.

Use AI to support better fundraising, not to automate trust.

Comment TOOLKIT or send us a direct message to receive the full AI for Major Gifts Fundraisers toolkit.