Newest Questions
We receive 400+ applications per open role and our recruitment team is overwhelmed. We want to use AI to reduce the manual review burden. But I've read enough about algorithmic hir
Our marketing team of 6 can't produce content at the pace our growth target requires. We need 3× the output. I've tried giving the team access to ChatGPT and Jasper — output increa
We've approved budget for three AI projects this year. Finance wants hard numbers by Q3 and I'm not confident we'll have them. The expected benefits — analyst time savings, faster
We're processing legal contracts that regularly exceed 100k tokens. We've tried naive chunking, sliding windows, and hierarchical summarization. Each approach loses something impor
Our finance team spends 12 days on month-end close. I'm being told AI can compress this significantly. Our auditors are nervous about AI involvement in reported figures and I share
We're deciding between buying a specialist AI vendor's product or building our own using an API and some engineering resource. The buy option is faster and the vendor claims impres
We need LLMs to return valid JSON matching a strict schema — nested objects, enums, required fields. Even with constrained generation and function calling, we hit schema violations
Our documents are scanned PDFs — some text-layer, some image-only — with embedded tables, signature blocks, and handwritten annotations. OCR alone misses structure. Vision models a
Our HRIS vendor is selling us an attrition prediction add-on. It claims to identify employees likely to leave 3–6 months before they hand in their notice, based on engagement score
Our board has asked us to accelerate AI adoption but our legal team is pumping the brakes on anything involving customer data. I understand the concern but I need a clearer view of
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