By Ipalibo Da-Wariboko — Aligned to Act | May 2026
I want to start with something honest.
I use AI every day in my work. I built a product powered by it. I believe it is genuinely useful for business development professionals — not as a novelty, not as a shortcut, but as a tool that, used well, makes the actual work of relationship-driven BD significantly better.
I am also watching a version of AI adoption in BD that I think is quietly doing damage. Not to the people using it — to the relationships they are trying to build.
The distinction between these two things is not subtle once you see it. But it is almost never discussed clearly. So let me try.
The version that helps
When I talk to BD professionals who use AI well, a pattern emerges. They use it upstream. Before the conversation, not during it or instead of it.
They use AI to compress and structure their preparation — to pull together what they know about an account, identify the gaps, map the stakeholders they haven’t fully accounted for, and surface the questions they should be asking but haven’t thought of yet. They use it to pressure-test their read on a deal: am I seeing this situation clearly, or am I too close to it to be objective?
The output of all this work is not a script. It is not a set of talking points. It is clarity. The professional walks into the meeting — or onto the call — having done more cognitive work in advance than they could have managed alone. And because that work happened before the conversation, they are free to be fully present in it.
Their clients cannot tell they used AI. They can only tell that this person is unusually well-prepared.
That is AI used correctly in business development. And it is genuinely powerful.
The version that hurts
The version that hurts looks efficient but isn’t.
It is the AI-drafted email that goes out with your name on it — technically personalized, structurally sound, unmistakably not you. It is the proposal that was generated from a template and reads like it. It is the follow-up message that references things correctly but carries none of the texture of the relationship you’ve been building. The right words, in the wrong voice.
The people receiving these communications often can’t articulate why they feel off. But they feel it. Something in the message sounds like it was written for forty people, not for them. The warmth is there, technically. The specificity is missing.
In relationship-driven BD — in agencies, in consulting, in any business that runs on long-term trust between people — this matters more than the efficiency savings justify. The reason your best clients keep coming back is not because your proposals are well-structured. It is because they trust you specifically. Your judgment. Your voice. The way you see their situation.
The moment your communication starts to sound like everyone else’s, you are eroding the thing that makes you worth knowing.
Why this distinction is hard to make in practice
The pressure to use AI for communication is real and understandable.
BD professionals are under enormous time pressure. The pipeline is always full. Every account wants more attention than the hours allow. AI writing tools promise to solve this — and for some communication, in some contexts, they deliver. If you are drafting a standard acknowledgment, a meeting logistics email, or an internal summary, AI can do that competently and it costs you nothing meaningful.
The problem is that the efficiency logic doesn’t stop there. It creeps into the communications that actually matter. The strategic update to the client who is on the fence. The follow-up after a hard conversation. The message that needs to carry the full weight of a three-year relationship in two paragraphs.
These are the messages where your voice is the product. Where the person on the other end is, consciously or not, evaluating whether you understand them, whether you were paying attention, whether this relationship is what they thought it was. No AI tool can carry that weight. It can produce the shape of the message. It cannot produce the thing that makes the message work.
The test I use
When I am deciding whether AI belongs in a particular part of my work, I ask one question: is this upstream of the conversation, or is it the conversation?
Upstream — research, preparation, synthesis, diagnostic thinking, structural analysis — AI can do genuinely useful work here. The output enriches the conversation without replacing it. My clients and contacts see the result: a professional who is unusually prepared, who asks better questions, who has clearly thought about their situation. They do not see the process.
If the AI output is itself what goes to the client — the email, the message, the proposal, the response — I look hard at whether my voice is actually in it. Not the general shape of professional communication, but me, specifically, writing to this person, about this situation, at this point in our relationship. If I read it back and it could have been sent by anyone to anyone, I rewrite it.
This is not a rule against AI in communication. It is a standard for what communication in relationship-driven BD actually requires.
What this means for your practice
If you are a BD professional thinking about how to use AI well, the answer is not to avoid it. The answer is to be intentional about where it goes.
Use it to do more and better preparation than you could manage on your own. Use it to see your deals and accounts more clearly. Use it to identify what you don’t know before you need to know it. Use it to compress the time that the ninety percent takes — because the ninety percent is real work, and AI can genuinely help you do it faster without reducing its quality.
Keep your voice in every communication that carries the weight of the relationship. Not because AI can’t produce competent text — it can — but because competent text is not what your relationships are built on. They are built on the specific, irreplaceable quality of your judgment and your presence.
The BD professionals who will build the strongest practices in the next decade are not the ones who use AI least. They are the ones who use it most deliberately — who understand exactly what it can do that is genuinely useful, and what it cannot do that is genuinely theirs.
Why I built A2A with this in mind
This distinction is not an afterthought in how A2A was designed. It is the organizing principle.
A2A handles the preparation. The research, the diagnostic thinking, the stakeholder analysis, the contextual brief before a high-stakes meeting. The work that happens before you walk in the room — the ninety percent that determines whether the ten percent goes well.
A2A does not write your emails. It does not generate your proposals. It does not produce communication that goes to your clients with your name on it. That boundary is intentional and it will not move.
Because the goal was never to make you more efficient. It was to make you more present — to give you back the cognitive space that preparation consumes, so that when you are in the conversation that matters, you are fully in it.
That is what good AI use in business development looks like. And it is, genuinely, worth the investment.
See how A2A approaches preparation →
Ipalibo Da-Wariboko is the founder of Aligned to Act — a preparation platform for professionals who win business through relationships.
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