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AI Agents & Agentic AI

AI agents that work for your businessaround the clock.

We design and deploy autonomous AI agents — systems that perceive, reason, and act to complete multi-step tasks without constant human oversight. From support agents to full agentic workflows.

Discuss Your Agent ProjectAI Automation
Runs 24/7 autonomously
Live in 2–4 weeks
Integrates with existing systems
hermes-agent
running
hermes@interit:~
$ hermes run --task="Qualify lead"
Initializing Hermes v2.1 ...
[search_crm] No existing contact found
[enrich] Acme Corp · 50+ employees
[score_lead] 87/100 · Hot Lead ✓
[hubspot] Deal #4829 created ✓
[slack] #sales Alert sent ✓
✓ Done in 1.2s · 5 tools · 0 errors
Hermes v2.1Claude 3.5 · LangGraph
5 tools available

What Are AI Agents

More than automation — agents that decide and act.

Traditional automation follows fixed rules. An AI agent goes further: it perceives context, reasons about the best action, uses tools, and works toward a goal across multiple steps — often without waiting for a human at every turn.

We build agents that fit into your existing workflows: answering customer questions, qualifying leads, drafting content, processing data, or running internal tasks in the background.

Autonomous
Reasoning
Fast
Safe

Our Flagship Agent

Meet Hermes — your always-on business agent.

Hermes is our multi-purpose conversational AI agent. Trained on your company data, it handles support, sales qualification, FAQ resolution, and live agent handoff — all in one.

Conversational intelligence

Understands context across a conversation, not just single messages. Remembers what was said earlier in the session.

Trained on your data

Learns from your documentation, FAQs, product info, and past conversations to give accurate, on-brand answers.

Live agent handoff

Knows when a question is beyond its scope and routes the conversation to a human — with full context preserved.

Multi-channel ready

Deploys on your website, internal tools, or as a backend API for any interface you choose.

Agent Portfolio

Agents we build and deploy.

Each agent is purpose-built for a specific business function. They can run standalone or as part of a coordinated multi-agent system.

Lead Qualification Agent

Engages new inquiries, asks the right qualifying questions, scores the lead, and routes it to the right team member — no manual triage needed.

Content & Copywriting Agent

Drafts blog posts, social copy, email sequences, and product descriptions based on your brand voice, target keywords, and approval workflow.

Customer Support Agent

Handles tier-1 support questions using your knowledge base. Resolves common issues instantly and escalates edge cases with context.

Data & Reporting Agent

Pulls data from multiple sources, runs analyses, and delivers scheduled reports or answers ad-hoc data questions in plain language.

Operations & Scheduling Agent

Manages internal task routing, meeting scheduling, follow-up reminders, and status updates — reducing manual back-and-forth.

Custom Agentic Workflows

Multi-agent pipelines where specialized agents hand off tasks between each other — handling complex, multi-step processes end-to-end.

Real-World Applications

What AI Agents Actually Do

From customer support to financial operations — here are concrete examples of how autonomous agents are deployed today, built with tools like Claude, OpenAI, n8n, and our own Hermes.

24/7 Customer Support Agent

Answers support tickets, resolves common issues, and escalates to humans when needed. Integrates with Zendesk, Intercom, or a custom chat widget.

HermesZendeskn8n

Lead Qualification & CRM Agent

Reads inbound inquiry emails, scores leads by fit, enriches contact data from LinkedIn, and pushes qualified leads directly to HubSpot or Pipedrive.

ClaudeHubSpotn8n

Content & SEO Writing Agent

Researches keywords, drafts long-form articles, generates meta tags, and publishes drafts to WordPress or Webflow — all triggered by a single topic input.

OpenAIWordPressn8n

Data Analyst & Reporting Agent

Connects to your database or Google Sheets, runs analysis on request, and delivers formatted summaries, charts, and recommendations in Slack or email.

ClaudeSupabaseSlack

Invoice & Finance Processing Agent

Reads incoming PDF invoices, extracts line items, checks against purchase orders, and posts entries to DATEV, Lexoffice, or your ERP system.

GPT-4oDATEVLexoffice

HR & Onboarding Agent

Sends offer letters, collects documents, creates accounts in Notion or Google Workspace, and schedules onboarding meetings — automatically when a new hire is confirmed.

ClaudeNotionGoogle

E-commerce Order Management Agent

Monitors orders, handles return requests, updates inventory, notifies customers, and escalates anomalies. Works with Shopify, WooCommerce, and custom shops.

OpenAIShopifyWooCommerce

Email Triage & Response Agent

Reads your inbox, categorizes emails by urgency and topic, drafts replies for review, and files or forwards messages automatically based on your rules.

ClaudeGmailOutlook

DevOps Monitoring & Alert Agent

Watches logs, metrics, and uptime. When anomalies occur, it creates a Jira ticket, posts to Slack, and suggests root causes based on recent deploys.

OpenAIJiraSlack

Competitor Intelligence Agent

Scrapes competitor websites, pricing pages, and news daily. Summarizes changes and delivers a weekly brief to your team in Slack or Notion.

PerplexityClaudeNotion

Scheduling & Calendar Agent

Handles meeting requests via email or chat, checks availability, books slots in Google Calendar or Outlook, and sends confirmations without human input.

OpenAIGoogle CalOutlook

Research & Briefing Agent

Given a topic or company name, it searches the web, reads relevant pages, synthesizes findings, and delivers a structured briefing document in minutes.

ClaudePerplexityn8n

Technology & Integrations

Built with tools you already know

We build agents using the best open and closed models, orchestration frameworks, and automation platforms — and connect them to whatever systems your business already uses.

AI Models

Claude 3.5 / 4GPT-4oGemini 1.5Llama 3MistralOpenWebUI

Orchestration

LangChainLangGraphCrewAIAutoGenHermes (own)OpenAgents

Automation Platforms

n8nMake.comZapierActivepiecesPipedreamWindmill

Data & Memory

Supabase (pgvector)PineconeWeaviateQdrantRedisMongoDB

Web & Scraping

BrowserlessPlaywrightPuppeteerFirecrawlApifyBright Data

Integrations

SlackGoogle WorkspaceHubSpotJiraNotionAirtable

How We Build

From goal to deployed agent.

1

Define the goal and scope

We identify which tasks the agent should handle, what data it needs access to, and where the boundaries are.

2

Design the agent architecture

Choose the right model, define the tools the agent can use, and design the reasoning loop and fallback behavior.

3

Train and ground it on your data

Connect the agent to your knowledge base, CRM, or documentation so it operates with accurate, up-to-date information.

4

Test, evaluate, and deploy

Run the agent through real-world scenarios, measure output quality, tune behavior, then deploy to production.

FAQ

Frequently Asked Questions

Common questions about AI agents and how we build them.

Have a question not listed here?

Contact us

Ready to deploy your first AI agent?

Let's discuss which agent fits your workflow best — and what it would take to have it running within weeks, not months.

Discuss Your Agent Project
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