What "AI" actually means here
We don't mean chatbots-on-your-homepage. We mean using language models to do internal work — categorising email, extracting data from documents, drafting first-pass responses, summarising calls.
1. Email triage
Every inbound to a shared inbox (sales@, support@) gets classified, routed, and a draft reply written. Humans review and send. Saves 60-80% of the read-write time.
2. PDF data extraction
Invoices, purchase orders, lab reports — anything semi-structured. Modern LLMs do this in one API call with near-perfect accuracy. We've built three of these for clients in the last year; each one saved at least one FTE-day per week.
3. Meeting note structuring
Raw transcripts come out of Teams / Zoom / Meet. An automation turns each into a structured doc: decisions, actions, owners, deadlines. The Ops team's favourite thing we've ever built.
What to skip
"AI strategy workshops". Generic copilots. Anything where the vendor says "AI-powered" without explaining what model, what data, what guardrails.