AI Agents

Custom-built agent networks that think, route, remember, and act. Not chatbots — production-grade intelligence systems built specifically for your business.

Our multi-agent systems go well beyond a simple AI wrapper. Each system is built around an orchestrator that classifies intent, routes tasks to specialist sub-agents, and manages shared context so nothing falls through the cracks.

Every agent has a defined role, memory scope, and tool access. The orchestrator coordinates handoffs, maintains state, and knows when to escalate to a human. The result is a system that handles complex, multi-step operations reliably — and gets smarter as we evolve it with you over time.

Capabilities

Orchestrator routing with intent classification
Persistent memory via vector database (pgvector)
Escalation logic and human-in-the-loop fallback
Multi-model support (Claude, GPT, Gemini)
API-first architecture for easy integration
Full audit trails and conversation logging

See it in action

Build an Agent Network

Drag, connect, and explore how orchestrator routing, intent classification, and specialist agents work together in a live system.

ActiveWorkflow Builder
trigger

Orchestrator

Route tasks to specialist agents

Connected
action

Intent Classifier

Classify user intent

Connected
action

Specialist Agent

Execute domain-specific task

Connected
3 Nodes
2 Connections

Drag nodes to reposition

How we build it

Our Process

1.

Discovery & Architecture

We map your operational workflows and define the agent roles, routing logic, and data sources needed to automate them properly.

2.

Build & Train

We build each agent with its own prompt, memory, and tool access — then wire them into the orchestrator for end-to-end task handling.

3.

Deploy & Monitor

Production deployment with logging, error handling, and performance dashboards. Every decision is auditable and transparent.

4.

Evolve

We stay on to monitor agent performance, refine behaviour, add new agents as your needs grow, and implement new AI capabilities as they become available. Your system gets better over time, not worse.

Terminal code cascading — AI agent processing

Agent Systems

Production AI agents that execute, reason, and coordinate — built in code, not drag-and-drop.

Use cases

What You Can Build

Customer support triage

Route inbound queries to specialist agents based on intent — billing, technical, account — with automatic escalation to humans when needed.

Research pipelines

Agents that search, summarise, and synthesise information from multiple sources into structured reports — on demand or on schedule.

Content operations

Multi-agent workflows that draft, review, format, and publish content across channels — with human approval gates built in.

Internal ops automation

Automate repetitive internal tasks — data entry, reporting, scheduling — with agents that plug directly into your existing tools.

See how we built CallCoach

Frequently asked questions

FAQ

Want to see what an agent system could do for your business?

Tell us what you're trying to automate — we'll design something that actually fits how you operate.

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