Four seats,four different reasons to say no.
Industry experience is only worth paying for if it tells you who can stop a purchase and why. These are the seats we meet in this sector, what each one tests, and what loses them.
Four things we do notneed explained to us.
AI products from concept to launch
Aivin's generative sommelier and Relat's sales assistant were designed, built and launched, not prototyped and abandoned.
Orchestration and observability
The layer underneath a working assistant: routing, retrieval, evaluation and the ability to see why an answer happened.
Portfolio into platform
Several products, often several acquisitions, told as one coherent story without flattening what each one does.
Developer-credible and buyer-legible
Written so the evaluator trusts it and the sponsor can still approve it. Most category pages manage one.
Named engagements,or we do not claim the sector.
Blackbaud · Aivin · Relat · Trimble · IBM Watson · Citrix · ProviderTrust
What buyers in this sector askbefore the first call.
Do you build AI products, or only market them?
We build them. Seven are in production with clients’ names on them, and two more are earlier and said to be, including Aivin's generative sommelier on the OpenAI Assistants API and Relat's AI sales assistant, both designed, built and launched rather than prototyped and shelved.
Can you make a multi-product portfolio read as one platform?
Yes, without flattening what each product does. That is the common problem in software, especially after acquisitions: five products, five stories, one procurement conversation. The fix is a platform narrative each product can sit inside and still be itself.
How do you handle the technical evaluator on a buying committee?
By answering the questions they actually ask: architecture, orchestration, observability, and what happens when the system is wrong. An AI story that cannot explain how it fails does not survive that seat, and that seat can stop the purchase.