Technology & SoftwareAgentic AIOn-Premise

How CoreWeave used Cohere North to transform its customer support in 90 days

CoreWeave· United StatesCohere North · Slack · Jira

CoreWeave, a cloud computing company providing infrastructure for AI workloads, embedded Cohere's North agentic AI platform directly into its Slack-based support workflows, privately deployed inside its own data centers. North automates ticket triage, gathers customer context, and recommends resolutions. Within a few months, CoreWeave's mean time to resolution dropped from 4-8 days to 2-5 days, customer satisfaction scores reached 4.9-5.0, and routing accuracy improved, with the full transformation completed in 90 days.

Overview

CoreWeave, a cloud computing company providing infrastructure for AI workloads, embedded Cohere's North agentic AI platform directly into its Slack-based support workflows, privately deployed inside its own data centers. North automates ticket triage, gathers customer context, and recommends resolutions. Within a few months, CoreWeave's mean time to resolution dropped from 4-8 days to 2-5 days, customer satisfaction scores reached 4.9-5.0, and routing accuracy improved, with the full transformation completed in 90 days.

This entry has 15 published fields tied to exact passages in an immutable source capture.

Inspect the highlighted source

The challenge

Facing rapid growth in demand, CoreWeave wanted to streamline its support system by reducing the number of third-party tools, increasing automation, and reducing the manual steps customer support engineers took to route issues to other engineering teams; the existing process was clunky and slow.

The solution

CoreWeave worked with Cohere's solutions architects to embed Cohere's agentic AI platform, North, directly into its Slack-based support workflows, privately deployed inside CoreWeave's own data centers; a North triage bot collects and pre-populates customer context from CoreWeave's backend systems, an automation creates a Jira issue and opens a swarming channel pulling in the right engineering teams, and a North resolution agent then pulls in CoreWeave's documentation and historical post-ticket reviews to suggest a resolution.

Agentic AIRetrieval-Augmented Generation

Reported business value

CoreWeave's mean time to resolution decreased from 4-8 days to 2-5 days, customer satisfaction (CSAT) scores of 4.9-5.0 continued for the vast majority of tickets, routing accuracy increased, and support engineers could focus more on solving problems rather than gathering information and switching between systems.

Sources

Open any source and check the claim yourself — that is the point of the register.

This record was researched and written with AI assistance, and its claims were checked against the sources above. (EU AI Act art. 50 transparency notice.)

Related entries

Other technology & software entries in the register.

All entries
Technology & SoftwareRecommendation & PersonalizationPublic Cloud

HP crafts marketing campaigns that resonate with customers using Databricks and Uniphore

HP centralized first-party customer data on the Databricks Data + AI Platform with Delta Lake and Unity Catalog, and connected it to Uniphore's HybridCompute for federated query pushdown, cutting campaign setup from 2 weeks to 2 hours and processing 400 million records in seconds.

96/100HighPrimary source
HPDelta Lake · Unity Catalog
Technology & SoftwarePredictive AnalyticsPublic Cloud

Building a safer and more sustainable world

Novade, a construction management software company, partnered with Databricks to modernize its analytics and ML infrastructure, moving from a homegrown Apache Airflow stack to the Databricks Data + AI Platform with Delta Lake, Unity Catalog and MLflow. The move reduced total cost of ownership by 60% and supported a 100% increase in new clients, while enabling ML models for predicting incident risk affecting worker safety and project delivery schedules.

96/100HighPrimary source
NovadeDatabricks Data + AI Platform · Delta Lake · Databricks SQL +6
Technology & SoftwarePredictive AnalyticsUnknown

Transforming Weather Forecasting with Lakeflow Jobs

AccuWeather migrated from on-premises infrastructure to Databricks and Lakeflow Jobs, working with Datadog for observability, to unify diverse weather data formats and orchestrate 4,500+ weekly jobs. Lakeflow Jobs coordinates the ingestion of multiple weather models, triggers machine learning processes that weight and blend different forecasts, and manages complex job dependencies for reinforcement training workflows used in AccuWeather's proprietary forecasting engine. AccuWeather reports 3x faster dataset development (three months to one month per dataset), a 50% reduction in unactionable alerts, and 50% cost savings on serverless job usage.

92/100HighPrimary source
AccuWeatherLakeflow Jobs · Delta Sharing · Datadog
Technology & SoftwareRecommendation & PersonalizationPublic Cloud

Adobe brings creativity to life with Databricks

Adobe uses the Databricks Data + AI Platform for end-to-end data management that unifies all data and AI at scale, with 20% faster performance. Databricks equips over 92 teams at Adobe to unify data from financials, sales, products, customers and employees so they can drive personalized experiences across Adobe's digital platforms with AI.

92/100HighPrimary source
Adobe

Was this helpful?

Your feedback helps us improve our use case database