Company-specific AI employees

Hire an AI Employee Built for Your Business.

FindLabs AI designs secure AI employees that understand your company knowledge, connect to your existing systems, and execute real business workflows.

See How It Works

General AI models provide intelligence. FindLabs AI builds the secure business system around that intelligence.

Outlook
CRM
Slack
Data
AI Employee Rules + Knowledge + Actions
Permissions Approvals Audit logs

What is an AI employee?

A business-ready system, not a generic chatbot.

An AI employee is a company-specific software system that combines AI models, your business knowledge, workflow rules, integrations, permissions, and human approval.

Generic AI

  • General-purpose assistance
  • Manual copy and paste
  • Limited company context by default
  • Does not automatically implement business workflows
  • Requires users to operate it manually

FindLabs AI Employee

  • Built for a specific organization
  • Connected to approved systems
  • Uses company knowledge
  • Executes defined workflows
  • Enforces permissions and approvals
  • Provides monitoring and auditability
  • Delivered and supported by FindLabs AI
GPT is the engine. FindLabs AI builds the car.

Example workflows

AI employees for real operating work.

Sales Follow-up Employee

Reads inboxes, checks CRM status, drafts approved follow-ups, updates Salesforce or HubSpot, and records actions.

Customer Support Employee

Classifies tickets, uses knowledge bases, drafts replies, escalates exceptions, and updates support systems.

Document Intelligence Employee

Extracts structured details, summarizes documents, routes reviews, and maintains audit records.

HR and Recruiting Employee

Coordinates candidate workflows, screens against approved criteria, drafts updates, and schedules next steps.

Operations Employee

Automates recurring internal workflows across tools, rules, approvals, notifications, and reports.

Research Employee

Researches products, vendors, competitors, and market signals using defined sources and reporting formats.

Illustrative healthcare workflow

A healthcare organization could ask an AI employee to summarize arriving lab reports, notify authorized staff, update approved workflow systems, and schedule follow-up actions when required by organization-specific rules. This is an illustrative administrative workflow, not a claim of medical diagnosis or fully autonomous clinical decision-making.

How it works

From workflow discovery to monitored deployment.

  1. 01Discover the business problem
  2. 02Design the workflow
  3. 03Connect approved systems
  4. 04Add company knowledge
  5. 05Configure permissions and security
  6. 06Test and evaluate
  7. 07Deploy
  8. 08Monitor and improve

Company-specific intelligence

The model is only one part of the employee.

Solutions may use retrieval-augmented generation, company knowledge bases, business rules, memory, prompt optimization, evaluations, model customization, and fine-tuning when technically applicable and measurably valuable.

Security and controls

Built around permissions, auditability, and human approval.

Your company knowledge is isolated to your organization and access is governed by the permissions and deployment model agreed for your implementation.

Organization-specific access Role-based permissions Audit logs Encryption Approval controls Data isolation Configurable retention Cloud, hybrid, and private deployment options

Start with the work

Tell us what work your AI employee should perform.