Your business should be working while you sleep.

An AI agent is not a chatbot. It is not a dashboard. It is software that perceives a situation, makes a decision, and takes an action — on its own, inside your systems, according to the rules you set. DARNOC builds the custom AI agents that handle the tasks, decisions, and workflows your business runs on — 24 hours a day.

Our Approach

What we actually do.

We scope the agent brief with you: what the agent needs to perceive, what decisions it needs to make, what actions it can take, and what guardrails govern its behaviour.

We design the agent architecture: the data sources it connects to, the decision logic it operates on, the tools it uses, and the escalation paths for exceptions it cannot handle.

We build, test, and deploy the agent into your live environment — fully integrated with your existing tech stack, not sitting alongside it.

We run a supervised pilot period — monitoring agent performance, handling edge cases, and refining the logic until the agent's output meets your quality bar.

We hand over full documentation and provide ongoing support retainers for agents that need monitoring, retraining, or capability expansion.

Fit Check

Is this for you?

This service is the right fit if:

  • You have repetitive, rule-governed tasks that currently require human decision-making and action
  • You want to operate at greater capacity without growing headcount at the same pace
  • You have tried off-the-shelf AI tools and found they don't fit your specific workflow
  • You are a CTO or Head of Technology looking for AI agents that integrate cleanly with your existing stack
  • You want agents built to your specifications — proprietary capability, not shared infrastructure
How It Works

How it works.

01

Agent Scoping Workshop

Define the agent's task, data sources, decision logic, available actions, confidence thresholds, and escalation paths.

02

Architecture Design

Design the full agent architecture: perception layer, reasoning layer, action layer, and monitoring/logging framework.

03

Build & Integration

Build the agent and integrate it into your tech stack. Establish the feedback loop and exception-handling process.

04

Supervised Pilot

Run the agent in a controlled production environment. Monitor output quality, handle edge cases, and refine the logic.

05

Full Deployment & Handover

Deploy to full production. Complete documentation, handover, and optional ongoing monitoring retainer.

Results

What you walk away with.

  • A production-ready AI agent operating inside your live systems
  • Full documentation: architecture, decision logic, integration points, and maintenance guide
  • A supervised pilot with measurable performance benchmarks before full deployment
  • Proprietary AI capability you own — not a licence you rent
  • An internal team equipped to manage, monitor, and brief future agent iterations

Ready to put AI to work around the clock?

Book a 30-minute discovery call. No pitch. No deck. Just an honest conversation about where AI can make the biggest difference in your business.