AI Employee Development
Custom Built for Your Business
We build autonomous AI agents that handle real business functions end to end. Not chatbots. Not templates. Custom AI employees trained on your data, connected to your tools, and deployed to your infrastructure.
How We Build AI Employees
Production-grade architecture. Not a wrapper on ChatGPT.
LLM Orchestration
OpenAI, Anthropic, or open-source models chosen for your use case. We optimize for cost, speed, and accuracy.
Knowledge Base
Vector databases (Pinecone, Weaviate, pgvector) for your documents, SOPs, and product data. The AI employee learns from your content.
Tool Integration
Custom tool-calling that connects to your CRM, helpdesk, ERP, databases, and APIs. The AI employee acts, not just responds.
Safety and Guardrails
Confidence thresholds, escalation rules, content filters, and audit logging. Every action is traceable and controllable.
Infrastructure
Deployed to your cloud (AWS, GCP, Azure) or ours. Horizontally scalable. 99.9% uptime. You own the infrastructure.
Analytics Dashboard
Real-time metrics: resolution rates, response times, escalation frequency, cost per interaction, and user satisfaction.
Development Packages
Single Role
2 weeks delivery
- One AI employee (sales, support, operations, or back-office)
- Up to 3 tool integrations (CRM, helpdesk, calendar, etc.)
- Custom knowledge base from your documents
- Human escalation with full context handoff
- 30 days post-launch monitoring
- Full source code
Multi-Role
3 to 4 weeks delivery
- Two to three AI employees working together
- Up to 8 tool integrations
- Shared knowledge base with role-specific access
- Inter-agent communication and handoffs
- Analytics dashboard with cross-role reporting
- 60 days post-launch monitoring
- Full source code
Enterprise
4 to 8 weeks delivery
- Full AI workforce deployment
- Unlimited tool integrations
- Custom model fine-tuning on your data
- Advanced orchestration and routing
- SSO, compliance, and security review
- Dedicated support and SLA
- Full source code + training for your team
What You Get
Our Development Process
Discovery and scoping
We map your workflows, identify automation candidates, and define success metrics. Output: technical specification and fixed-price quote.
Build and iterate
Week 1: core agent logic, knowledge base, and primary tool integrations. You see a working prototype by day 5.
Test with real data
We test against your actual scenarios: real tickets, real leads, real documents. Edge cases and failure modes are handled before launch.
Deploy and monitor
Production deployment with analytics dashboard. 30 to 60 days of active monitoring, performance tuning, and optimization.
Proven Results
Real projects. Real numbers. See what we delivered.
AI Support Agent: Resolving 73% of Tickets Without Human Intervention
73% ticket auto-resolution, 4hr → 8min response time
An AI customer support agent that handles Tier 1 tickets via chat and email, resolves 73% automatically, and escalates the rest with full context to human agents.
AI Voice Agent: Automated Appointment Booking via Phone
Missed calls reduced from 40% to 3%, 120 appointments/month booked by AI
An AI phone agent that handles inbound calls for a dental practice, books appointments, answers FAQs, and reduces missed calls from 40% to 3%.
AI Sales Agent: Automated Lead Qualification and Meeting Booking
Lead response time: 4 hours → 90 seconds, qualified meetings up 2.4x
An AI sales development rep that qualifies inbound leads via chat and email, scores them using BANT criteria, and books meetings directly on reps' calendars.
Frequently Asked Questions
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