AI Agents from Benian Technologies are deployable, purpose-built agents for mid-market teams: Inquiry Agent, Outbound Agent, Research Agent, Drafting Agent, Ops Agent, and Qualification Agent. Every agent runs on your stack with your credentials, built on Claude, GPT-4o, and n8n. Typical deployment takes 14 to 21 business days from kickoff to production.
Pick an agent from the catalog, wire it to your stack, ship in under three weeks. Your infrastructure, your data, your agents.
Answers questions from your knowledge base, cites sources.
Sends personalized cold email and LinkedIn sequences.
Scrapes, synthesizes, and reports back with citations.
Writes long-form content against your tone guide.
Watches queues, triggers workflows, logs exceptions.
Scores leads against ICP rules and routes.
AI Agents from Benian Technologies are deployable, purpose-built agents for mid-market teams: Inquiry Agent, Outbound Agent, Research Agent, Drafting Agent, Ops Agent, and Qualification Agent. Every agent runs on your stack with your credentials, built on Claude, GPT-4o, and n8n. Typical deployment takes 14 to 21 business days from kickoff to production.
Pick an agent from the catalog, wire it to your stack, ship in under three weeks. Your infrastructure, your data, your agents.
The Benian AI Agent Catalog lists six production-ready agents: Inquiry Agent for knowledge-base Q&A with citations, Outbound Agent for cold email and LinkedIn outreach, Research Agent for scraping and synthesis, Drafting Agent for long-form content, Ops Agent for workflow triggering and exception handling, and Qualification Agent for ICP scoring and lead routing.
Six ready-to-ship agents. Pick one, pick several, pick all.
Answers questions from your knowledge base, cites sources.
Sends personalized cold email and LinkedIn sequences.
Scrapes, synthesizes, and reports back with citations.
Writes long-form content against your tone guide.
Watches queues, triggers workflows, logs exceptions.
Scores leads against ICP rules and routes.
Last Updated: April 2026
Every Benian AI Agent is built on a four-layer stack: Interface layer exposes the agent over web, Slack, WhatsApp, SMS, and voice via VAPI; Reasoning layer uses Claude Sonnet or GPT-4o with prompt chaining and model routing; Tool layer provides CRM, calendar, SQL, web search, and email capabilities; Data layer grounds responses in Pinecone, Supabase pgvector, Google Drive, and Notion.
Four layers: the interface users touch, the reasoning model that decides, the tools the agent calls, and the data that grounds its answers. We pick the best-in-class tech at every layer and wire it into your stack.
Benian ships six purpose-built AI agents as a catalog: Inquiry Agent answers questions from your knowledge base with cited sources, Outbound Agent sends personalized cold email and LinkedIn outreach, Research Agent scrapes and synthesizes public data, Drafting Agent writes long-form content, Ops Agent watches exception queues and triggers workflows, and Qualification Agent scores leads against ICP rules.
Each agent is a product we've shipped before. Pick one, pick several. They all talk to the same stack and the same data.
Curious about the difference between “an agent” and “Agentic AI”? Read: Agentic AI vs Chatbots
Book a Discovery CallAnswers questions from your knowledge base loaded into Pinecone or Supabase pgvector. Every response is cited, anything outside scope is flagged, and escalation to a human is clean.
Sends personalized cold email and LinkedIn outreach, sources prospects from Apollo or Sales Navigator, and routes replies through a classification flow into your CRM.
Scrapes public data sources, synthesizes findings with Claude or GPT-4o, and returns a cited report in markdown or PDF. Runs on a schedule or on-demand.
Writes long-form content — blog posts, proposals, reports — against your tone of voice and outline templates. Every draft is editor-ready, not raw.
Watches exception queues, triggers remediation workflows in n8n, logs everything to Postgres, and pings on-call via Slack when a workflow hits data it can't auto-resolve.
Scores inbound leads against your ICP rules, enriches the record with firmographics, and routes hot leads to the calendar while nurture goes into a sequence.
Benian AI Agent deployment runs on a 21-day rail: Day 1 kickoff with scope and API access, Day 3 tools connected with auth and CRM read/write, Day 7 first draft running in staging against real data, Day 14 red-team and guardrails pass, Day 21 live in production with logging, monitoring, and full handover.
A typical build rail, from kickoff to live production. No drag, no drift — every milestone has a concrete deliverable you can verify.
Day 1
Scope call, agent spec, API access.
Day 3
Auth, CRM read/write, data surfaces live.
Day 7
Agent running in staging against real data.
Day 14
Adversarial prompts + guardrails pass.
Day 21
Live, logged, monitored, handed over.
Day 1
Scope call, agent spec, API access.
Day 3
Auth, CRM read/write, data surfaces live.
Day 7
Agent running in staging against real data.
Day 14
Adversarial prompts + guardrails pass.
Day 21
Live, logged, monitored, handed over.
Book a discovery call with Benian Technologies to scope an AI Agent build. Typical engagements take 14-21 business days from kickoff to live production, with a flat fee and one week of post-launch support bundled in. Every agent runs on your own infrastructure.
Book a free discovery call and we'll pick the right agents for your stack. Ship in 14–21 business days.
