“We built our own dialer and AI tool where every call is transcribed… AI scoring, grading, timestamps, flags high-risk accounts”
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Said on Profiles in Risk
“‘We built most of that with HubSpot’s AIs… we have agents… we also built an intent model that sits outside of HubSpot… we need to bring our scoring intent data over here in HubSpot… to have one source of truth.’”
Gabriella Fishkind, VP of Go-to-Market Strategy at Ceros · B2B Marketing Futures · E165: Sales and Marketing Alignment When AI Sits in Both Seats
Play from 14:19
14:19
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What was described
Built a set of AI agents inside HubSpot that ingest multiple intent signals, score accounts, and feed a centralized scoring tier; also built a separate intent model outside HubSpot and is planning to merge the two data sources
Said nearby on the same subject
“Purpose-built agents, not random AI functionalities, but really purpose-built agents that have certain guardrails and evals to make sure that the results that they are delivering are also reliable and also repeatable”
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Said on Orbit - An Hg software leadership podcast
“We built a context layer… called TOME… it captures everything… we prioritize freshness score… authority score… to avoid hallucination.”
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Said on DataFramed
“We built out an agent that lives inside of Microsoft Teams and allows all parts of our organization to access a centralized knowledge base and see live data from our ERP, our CRM, and other internal software tools”
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Said on In The Trenches
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