Use Cases

Three live patterns.
Pick the one your account managers are hearing about.

Three live patterns. Each runs your model on your data, inside your boundary, with memory that persists across sessions. Tell us which one matches the customers your account managers are hearing about and we'll go deep on it together.

Analytics Option 1

BI / Text-to-SQL

"ChatGPT for our data." Move text-to-SQL accuracy from a 60% baseline into the 90s by tuning retrieval against the actual schema and query history.

Proof point. Incorta. Live customer with double-digit accuracy gains and MRR improvement on the public CRUMB benchmark.

Pick this if a CEO is asking for natural-language analytics, or a frustrated data team has already tried and given up.

Read the brief → 4 min read

Knowledge Option 2

Knowledge-Base & Document Search

Internal knowledge agents and customer FAQ search that answer with grounded citations and gate themselves when uncertain.

Proof point. Live SailPoint demo and production deployments across enterprise IT, support, and compliance teams.

Pick this if the customer has high-volume support workflow or compliance and policy-search needs that standard RAG isn't solving.

Read the brief → 3 min read

Operations Option 3

ServiceNow / ITSM

Turnkey ServiceNow integration that classifies, routes, and drafts responses for routine tickets. Cross-module memory across ITSM, service requests, and HR.

Proof point. Production ticket-routing agent with measurable reduction in human-touch rate.

Pick this if the customer has a service-desk leader, an ITSM modernization program, or SLA pressure. Almost every Slalom client runs ServiceNow.

Read the brief → 3 min read

Live sandbox · BI / Text-to-SQL

Try it: natural-language analytics with GoodMem.

A fictional retail warehouse. Pick a question and watch how GoodMem-optimized retrieval beats standard RAG side by side. Built for Account Managers to demo to clients cold.

● Live No real LLM calls. Canned responses so the demo runs predictably in front of a client.

Sample warehouse

customerscustomer_id · full_name · email · created_at · segment

ordersorder_id · customer_id · store_id · product_id · order_date · line_total

productsproduct_id · product_name · category · sku · unit_price

returnsreturn_id · order_id · refund_amount · return_date · reason

store_locationsstore_id · store_name · region · city · state

sales_targetstarget_id · store_id · period · target_amount

Pick a question:

Pick a question above to see the side-by-side comparison.

This is BI. The same GoodMem deployment powers Knowledge-Base and ServiceNow.