customer_support · saas · workflow
How Thumbtack created a generative AI strategy across search, policy review, and developer productivity
As LLMs became transformative in 2023, Thumbtack needed a comprehensive gen AI strategy beyond their early LLM search work, including resolving open questions about infrastructure, hallucinations, and democratizing internal access without duplicating efforts.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Customer natural language search
Customers describe their project or problem in conversational, everyday language to initiate a search.
Tools used
GPT-4LLama 2GitHub Copilot
Outcome
Gen AI for policy violation detection delivered significant efficiency gains, gen AI for exploratory analysis of unstructured data proved immensely valuable to data scientists, and a GitHub Copilot pilot was launched to measure developer productivity improvements.
Results
Running since2023
Grounding & classification
Source type: technical build writeup
28 fields verified against source quotes.
agent assistcode generationconversational aidata extractionknowledge searchknowledge basehuman review describedmetric backednamed customerproduction runtime claimedtools describedworkflow describedsoftwareautomation ratecost reductionemployee productivitytechnical build writeupback office opscompliance monitoringcustomer supportquality assuranceextract classify routehuman review queue