SLA breaches and reassignments are killing CSAT.

​

What we do: Use Agentforce to auto-classify cases, detect priority/risk, and route to the right queue instantly.

​

Outcome: Reduce missed SLAs and speed resolution by up to 40%.

Your knowledge base is scattered across SharePoint, Confluence, Jira, and PDF manuals.

​

What we do: Use Data Cloud + retrieval-augmented generation to pull the right fix instantly from structured and unstructured data.

​

Outcome: Cut resolution time for complex cases in half.

Your agents answer the same 20 questions 100 times a day.

​

What we do: Deploy AI-powered knowledge retrieval in chat, email, and voice resolving common issues without an agent.

​

Outcome: Deflect 30–50% of repetitive cases while keeping CSAT high.

You know when a customer is about to churn but can’t act fast enough.

​

What we do: Detect early-warning signals (churn, upsell, SLA risk) from usage, sentiment, or case patterns and trigger a play in seconds.

​

Outcome: Prevent churn before the renewal conversation even starts.

New human agents take 6–12 months to ramp; veterans waste time digging for answers.

​

What we do: Embed a real-time summarizer, next-best-action engine, and workflow triggers into the Salesforce console.

​

Outcome: Faster handle times, higher first-contact resolution.

Downtime costs more than the service call.

​

What we do: Combine IoT, service history, and technician location to auto-schedule the right field tech.

​

Outcome: Reduce downtime and missed appointments by 25%+.

​