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Build · Service 05

AIAgentDevelopment. Agentsthathandlerealwork,notjustchat.

An AI Agent Development engagement designs and ships custom agents that operate inside your existing stack. Lead qualification, support resolution, internal research, document generation, back-office workflow. Built to a measurable KPI, with human-in-the-loop oversight where it matters.

Production-grade, not prototype
Human-in-the-loop by design
Australian-hosted infrastructure

What we deliver

Agents in production, not slideware. Owned by you, accountable to a number.

Each engagement produces a deployed agent operating against a defined KPI, plus the artefacts your operators and risk team need to run it confidently.

Use Case Specification

A tight definition of the work the agent does, the inputs it consumes, the outputs it produces, and the KPI it is accountable to. Written so that success and failure are unambiguous.

Agent Design & Architecture

End-to-end design covering model selection, tool use, memory, retrieval, and integration points. Production architecture, not a notebook prototype.

Integration & Tool Layer

Connections to the systems the agent needs: CRM, helpdesk, ERP, document store, internal APIs. Built on stable patterns, not bespoke glue.

Evaluation & Guardrails

Automated evaluation suites covering accuracy, safety, and edge cases, plus runtime guardrails for tone, scope, and disclosure. Tested against your real data.

Human-in-the-Loop Console

Where the work warrants oversight, we ship a review console so your team can approve, reject, or correct outputs. Feedback loops back into ongoing improvement.

Operating Runbook

Documentation, monitoring, and an on-call model so the agent runs reliably after handover. Includes incident response and a defined improvement cadence.

Our strategic process

A six to ten-week build. Production from week one.

We ship to production early and iterate against real outputs. No long discovery phases that produce a deck instead of a working agent.

Week 1

Use Case Lock

Working session to lock the use case, the KPI, the data sources, and the failure modes that matter. Output: a single-page specification both sides sign off on.

Week 1–2

Architecture & Integration Plan

We design the agent architecture, integration points, evaluation strategy, and guardrail model. Decisions documented; no surprises later in the build.

Week 2–4

Build to First Useful Output

We build to a first useful output as fast as possible, against real data. Early outputs are reviewed with your operators to catch direction issues before they compound.

Week 4–6

Evaluation & Guardrail Hardening

Evaluation suites and runtime guardrails are tightened against real edge cases. Accuracy, safety, and scope creep all measured before the agent goes live.

Week 6–10

Pilot, Tune, Hand Over

Live pilot with your operators, tuning against feedback, followed by formal handover with documentation, monitoring, and the operating runbook in place.

ROI focus

What it actually saves you.

An AI agent that does real work pays for itself on hours reclaimed, response times shortened, or revenue captured that previously slipped through the cracks. We build to a number, not a vibe.

0–70%
Reduction in handling time

Well-scoped agents routinely take handling time on qualifying, routing, and resolving work down by half or more, with quality steady or improving.

0–20×
Capacity multiplier

Agents handle volume that would otherwise require linear hiring. Most engagements pay for themselves on the first quarter of operation.

0–10 weeks
From kickoff to production

A fixed-scope build designed to produce a live, accountable agent. No multi-month engagement that never ships.

What you walk away with

  • An AI agent in production, accountable to a defined KPI
  • Integrations with the systems that matter for the use case
  • Evaluation suites and guardrails covering real edge cases
  • A human-in-the-loop console where oversight is required
  • Documentation and a runbook so your team can own it

Common questions

What people ask before they book.

Agents that handle structured, high-volume work: lead qualification, support triage and resolution, internal research and summarisation, document generation, scheduling, and back-office workflow. We do not build novelty chatbots.

Next step

Ship an AI agent that does real work.

A 30-minute Strategy Session is the right starting point. We will talk through your operational pressure points and whether an agent build is the right next step. No vendor pitch. No obligation.