Service 05
Customer Support Intelligence
Contact-center forecasting and staffing, deflection, proactive messaging, AI agent assist and AI evaluation.
The problem
Rising volume, guesswork staffing, untested AI.
Contact volume grows faster than the team, staffing plans are built on spreadsheets, and AI tools are bought without a way to tell whether they help customers. Support leaders need forecasts they trust and evidence for every automation they put in front of customers.
What we build
Support that scales with evidence.
Contact volume forecasts and staffing models your workforce team can plan with.
Help content and flows that resolve common issues before they become tickets.
Reaching customers about known issues before they need to contact you.
AI that drafts, summarizes and retrieves answers inside your agents' existing tools.
AI agents that resolve defined request types end to end, with clear handoff to people.
LLM-as-judge and outcome metrics so you know whether automation is helping customers.
How we engage
A fixed-scope assessment of volume drivers, forecasting and automation opportunities.
1–4 engineers in your team to build forecasting, deflection or AI support.
Example deliverables
- A contact volume forecast and staffing model
- A contact driver analysis
- Deflection and proactive messaging flows
- An evaluated AI assist or agent in production
- Dashboards and handover for your support operations team
Typical stack
- Your support platform
- Your warehouse
- Forecasting tools
- LLM APIs and open models
- Evaluation tooling
- Python
- SQL
We work with the tools you already run.
Related services
Book a call
Tell us what you are trying to ship.
A 30 minute call with us. We will tell you plainly whether we can help.
Or email info@7data.io