Custom AI Agents & Workflow Automation | AIGent Georgia
Service 03  ·  Custom AI Agents

Custom AI Agents —
Automate the work your team repeats every day.

Most business inefficiency is invisible — buried in repetitive manual tasks your team handles daily without questioning. We map those tasks, identify exactly where an AI agent can replace human effort, and build the automation. Connected to your databases, CRM, and messaging systems.

Works with any LLM
Connects to your existing tools
Built on n8n + LangChain
No recurring platform fees
What Is an AI Agent

Not a chatbot.
An autonomous worker.

A chatbot answers questions. An AI agent takes action. It reads data from your systems, applies your business logic, executes multi-step tasks, and notifies the right people — without waiting for a human to press a button.

Reads

Connects to your databases, emails, CRM, documents, and APIs to gather live data.

Decides

Applies your business logic to qualify, classify, score, or route — based on real data, not rules alone.

Acts

Sends messages, updates records, creates tasks, drafts documents, and escalates to humans when needed.

Live workflow — lead qualification
New CRM record created Trigger
AI — Score & classify lead AI node
Send personalised outreach Action
Update pipeline stage CRM sync
Notify sales rep — Slack + email Action
Integrations used n8n LangChain Bitrix24 Slack REST API
How We Build It

From your daily workflow to a running automation

A four-step process that starts with listening — and ends with a measurable reduction in manual work.

01

Discovery Workshop

We interview your department heads and shadow daily workflows. Every repetitive manual task is documented across sales, operations, finance, and support — so we know exactly where automation delivers the highest return.

Stakeholder interviews Workflow mapping ROI prioritisation
02

Automation Blueprint

We design an agent architecture that fits your existing tools — no ripping and replacing. You see exactly what gets connected, what data flows where, and what the agent decides on your behalf before a single line is written.

Architecture design Integration mapping Human approval gates
03

Agent Development & Integration

We build the agents using n8n and LangChain, connect them to your systems via secure API integrations, and run full end-to-end testing in a staging environment before anything touches production data.

n8n + LangChain Secure API integrations Staging environment testing
04

Deploy, Monitor & Iterate

Agents go live with full observability dashboards. We monitor outcomes, tune logic, and expand coverage based on measured results — not guesswork. Monthly reports show exactly what the automation is saving.

Live dashboards Performance monitoring Monthly reporting
Use Cases

What AI agents look like in practice

Every agent is built for a specific workflow. Here are six common automations we deploy across different departments.

Lead Qualification

New CRM lead arrives. Agent scores intent, sends personalised outreach, updates the pipeline stage, and notifies the sales rep on Slack.

Completed in under 60 seconds

Support Ticket Routing

Customer submits a request. Agent classifies urgency and topic, routes to the right team, sends an acknowledgement, and logs everything in the CRM.

Zero manual triage

Invoice Processing

Invoice arrives by email. Agent extracts data, checks against purchase orders, flags discrepancies, and pushes approved invoices to accounting software.

Replaces hours of manual entry

Inventory Alerts

Stock drops below threshold. Agent checks supplier availability, drafts a purchase order, sends it for human approval, and logs the reorder automatically.

No missed stockouts

HR Onboarding

New employee added to the HR system. Agent creates accounts, assigns training modules, sends a welcome email, and schedules first-week meetings.

Fully automated on day one

Scheduled Report Generation

Agent pulls data from multiple sources on a set schedule, compiles a formatted report, and sends it to stakeholders every Monday at 08:00.

Every Monday, without fail
Integrations

Connects to the tools you already use

We build integrations for your existing stack — no switching platforms, no data migration.

n8n
LangChain
Bitrix24
HubSpot
Salesforce
Slack
Gmail
Google Sheets
WhatsApp
Telegram
PostgreSQL / MySQL
Any REST API
AI Flexibility

Works with your AI — wherever it runs

Agents are model-agnostic. Whether your AI runs on a cloud API or a private on-premise server, we connect the same way.

Cloud AI

Connect agents to any external AI provider via API. Fast to set up, no hardware required.

  • OpenAI, Anthropic, or any API-based model
  • No infrastructure to manage
  • Fastest path to deployment
  • Pay-per-token pricing applies

Private On-Premise LLM

Connect agents to your AIGent private server. Full data sovereignty — nothing leaves your network.

  • All agent data stays within your network
  • No per-token API costs
  • Required for healthcare, legal, and finance
  • Combines with Private AI Deployment service
Learn about Private AI Deployment
Pricing

Pricing determined individually upon consultation

Every workflow is different. We scope the project after the discovery session and provide a fixed-cost proposal — no surprises.

Custom AI Agent Development

Scoped per project based on the number of workflows, systems to integrate, and complexity of business logic. A fixed proposal is provided after the discovery session.

Custom pricing — scoped per project
What is included
  • Discovery workshop with your department heads
  • Automation blueprint and architecture design
  • Agent development and system integrations
  • End-to-end testing in staging environment
  • Deployment with observability dashboards
  • Staff training and documentation
  • Ongoing monitoring and iteration available
Book a Discovery Session
FAQ

Common questions about AI agents

What is the difference between an AI agent and a chatbot?

A chatbot answers questions. An AI agent takes action. It reads data from your systems, applies business logic, executes multi-step tasks, and notifies the right people — without waiting for a human to press a button. Agents work in the background, not just in a chat window.

Do I need a private LLM or can agents use cloud AI?

Both work. We can connect agents to cloud AI providers like OpenAI or Anthropic, or to an on-premise private LLM if you require full data sovereignty. The right choice depends on your data sensitivity, regulatory requirements, and budget.

How long does it take to build and deploy an agent?

Simple single-workflow agents can be live in 1 to 2 weeks. Complex multi-system automations — involving several integrations and approval flows — typically take 3 to 6 weeks including discovery, development, testing, and deployment.

Can agents access our internal databases securely?

Yes. We connect agents to your databases via secure API integrations, with access scoped strictly to what each agent needs. All connections are documented, auditable, and can be revoked at any time.

What happens if an agent makes a mistake?

Every agent is built with human-in-the-loop checkpoints for high-stakes actions — such as sending external communications or updating financial records. We also include full observability dashboards so any unexpected behaviour is flagged and corrected quickly.

Do I need a technical team to manage agents after deployment?

No. We provide full documentation, staff training, and ongoing support. Most clients monitor day-to-day performance through a simple dashboard without any technical knowledge required. We handle tuning and updates.

Ready to automate your workflows?

Book a free discovery session. We will map your manual tasks and show you exactly where AI agents can save the most time.

Ready to grow your business with AI?

Book a free 30-minute consultation…

No commitment. Discovery session is free. Response within 24 hours.