AI Lead Qualification Agent
Inbound leads were sitting for hours before anyone replied. We built an AI agent that scores, enriches, and routes every lead the moment it arrives, then drafts a personalized first reply for the rep.
A few of the systems we've built — and the difference they made for the teams running them every day.
Selected client engagements. Client identities and sensitive implementation details are withheld where required; the workflows, delivery stacks, and outcomes shown here reflect shipped work.
Inbound leads were sitting for hours before anyone replied. We built an AI agent that scores, enriches, and routes every lead the moment it arrives, then drafts a personalized first reply for the rep.
Missed calls were lost revenue. We built an AI voice agent that answers inbound calls 24/7, qualifies the caller in natural conversation, books appointments straight into the calendar, and hands off to a human when it matters.
One long-form piece now becomes a full week of channel-native content. The system turns each blog or webinar into LinkedIn posts, X threads, newsletter blurbs, and short-form video scripts — on brand, ready to schedule.
Generic sequences were getting ignored. We built a pipeline that researches each prospect, writes a personalized opener from real signals, and runs multi-step follow-ups automatically.
Support was drowning in repetitive tickets. We deployed a RAG agent trained on their docs and past tickets that resolves common questions instantly and escalates the rest with full context.
From keyword to published draft, fully automated. The pipeline finds opportunities, briefs and drafts on-brand articles, adds internal links, and pushes them to the CMS for human review.
The team spent every Monday rebuilding the same report. We automated the entire pull — ads, GA4, CRM, and revenue — into a single weekly dashboard with an AI-written summary.
Tell us where your team loses the most time. We'll design the AI automation that gives those hours back — usually live in under 2 weeks.
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