United StatesTechnology and telecom2026 – ongoing

Zapier

AI-assisted coding and data querying for analytics teams

Zapier moved about 75% of its data queries to AI-assisted workflows

WorkingVendor case studyVendor ↗

Problem

Zapier's teams waited on analysts and engineers for queries and operational dashboards. Building a dashboard could take days.

Approach

Zapier used AI assistance on Databricks for the first pass of coding and data querying. It also set up retrieval copilots for sales, marketing, support and product teams, with Vector Search behind them.

Results

about 90%share of initial coding and querying handled by AI, per DatabricksVendor case study[1]

about 75%share of queries run through AI-assisted workflows within 6-9 months, up from 0%, per DatabricksVendor case study[1]

up to 10xfaster analytics workflow turnaround, per DatabricksVendor case study[1]

Takeaway

Zapier used AI for the first draft of code and queries, and analysts then worked from that draft.

Sources

Delivering AI-powered product and business insights
Databricks21 Jul 2026Vendor publication

Source summaries

[1]Databricks21 Jul 2026

Databricks describes how Zapier uses AI assistance for coding and data querying and runs retrieval copilots for internal teams. It reports about 90% of initial coding and querying handled by AI. It also reports AI-assisted workflows rising from 0% to about 75% of queries within 6-9 months, and analytics turnaround up to 10x faster.

Full details are in the original sources.

Added 4 Nov 2026 · Updated 4 Nov 2026