Replace manual SDR research with Clay/Claygent. Agencies report 3× enrichment rate and fully automated ICP discovery.
Clay + GPT-4 powered Claygent — Clay reported 10× revenue growth two years running.
OpenAI Customer Story — Clay →Skip the hype. The repeatable wins are lead enrichment, support triage, internal RAG, and content drafting. Typically 4+ hours/week per knowledge worker.
Replace manual SDR research with Clay/Claygent. Agencies report 3× enrichment rate and fully automated ICP discovery.
Clay + GPT-4 powered Claygent — Clay reported 10× revenue growth two years running.
OpenAI Customer Story — Clay →LLM reads tickets, classifies, drafts replies, escalates edge cases. Saves real hours.
Viable saved customers ~1,000 hours/year analyzing tickets. Sticker Mule managers saved 'hundreds of hours.'
OpenAI Customer Story — Viable →First drafts, variations, A/B copy, social posts. Humans polish — they don't write from scratch.
Upwork's GPT-powered Job Post Generator cut writing time 80%.
OpenAI Customer Stories →Chatbot over your handbook, SOPs, contracts. Cuts doc-finding time by 80%+.
One deployment: 30 min → 5 min lookup time, 3,000+ queries/month. Buffer uses Notion AI 'Ask AI' for handbook.
Buffer Open / Evidently AI →Auto-summarize Zoom calls, extract action items, file replies. The Microsoft 30-min/day savings comes from this.
Microsoft Copilot, Granola, Fellow, Otter — all converge on the same workflow.
Microsoft Work Trend Index →Inbound form → AI qualifier → CRM enrichment → Slack ping to right rep. End-to-end no-code.
Utmost Agency: Clay + n8n + Apify + PhantomBuster automating the full lead pipe.
Utmost Agency →Fastest no-code start. 7,000+ apps. Best for non-technical teams.
Visual multi-step workflows. Mid-price. Better debugging than Zapier.
Self-hostable. 80–90% cheaper at scale. 70+ AI nodes, agent memory in v2.
Knowledge-grounded chat over your docs. No code.
ChatGPT bots with system prompt + uploaded files.
Drop AI into product UIs — chat, tools, streaming. Edge-ready.
Programmatic transactional email. Pairs cleanly with AI drafts.
Internal Q&A, ticket triage, standup digests. Built on Claude/GPT.
Taco Bell drive-thru voice AI failed on accents and noise; staff had to intervene. Voice agents over phone are still brittle.
MIT/Fortune: 95% of GenAI pilots fail. Biggest losses come from sales/marketing experiments without back-office focus.
Data prep eats ROI. If your CRM is half-empty, an AI on top makes wrong calls faster.
Legal advice, complex negotiations, anything requiring accountability for hallucinations.
If it happens 2× a week, the build/maintain time exceeds savings. Automate volume, not novelty.
Bottom-line: MIT & Fortune (Aug 2025) reported 95% of GenAI pilots fail. The 5% that work share one thing — clear ops focus, measurable target, clean input data. Source.
We help small teams identify the 2–3 AI workflows worth automating, build them, and walk away. Free consult included with every site build.
Book a Consult