An AI agent that triages every lead in 90 seconds

The situation

Atlas Labs was growing fast enough that inbound lead volume had outpaced their SDR team. By the time a fresh demo request got read, scored, and routed, four hours had usually elapsed. Industry data is brutal here: response time over an hour can cut conversion in half.

They didn't want to hire three more SDRs to brute-force it. They wanted to be smarter.

What we did

We built a small, observable agent that runs on every new inbound lead:

1. Enrich — pulls firmographic data from their existing data provider
2. Score — uses the customer's own historical close data to predict fit
3. Summarize — produces a one-paragraph internal brief on the lead
4. Draft — composes a personalized first response in the rep's voice
5. Hand off — routes to the right SDR with the draft pre-loaded in their inbox

The rep still owns the send button. The agent owns the prep work.

How we kept it safe

Two things matter when an agent is touching customer communication:

• Guardrails on tone and claims — the agent is forbidden from making product promises, quoting prices, or implying anything beyond a brief intro. Every draft is checked against this rubric before being surfaced.
• Full audit trail — every decision the agent makes, every enrichment call, every draft, is logged and searchable. When something looks off, the team can replay exactly what happened.

What changed

"We can finally hire SDRs for the part of the job they like — talking to humans — instead of for the part they hate."

What we'd do next

The agent's draft quality is good enough that we're now exploring fully autonomous handling for clearly-low-intent leads (free-tier signups, students, etc.) — freeing the SDR team to focus entirely on real opportunities.