Claude-Native Solutions
Our Services
Purpose-built enterprise AI solutions powered exclusively by Anthropic’s Claude. From development acceleration to autonomous agents, we deliver production-ready results.
Claude Code & AI Development
The Challenge
Enterprise development teams are drowning in boilerplate, repetitive testing, and documentation debt. Traditional coding assistants offer superficial autocomplete that barely scratches the surface. Meanwhile, backlogs grow, velocity stalls, and your best engineers spend more time on maintenance than innovation.
Our Solution
Claude Code (v2.1.76) transforms your entire software development lifecycle — an agentic coding partner that understands your full codebase, executes multi-step tasks autonomously, and maintains context across complex refactoring sessions.
- Custom Skills & Plugins — tailored to your workflows, drawing from an ecosystem of hundreds of plugins and thousands of skills
- CI/CD Integration via Hooks — event-driven automation integrated with your deployment pipelines and custom system prompts
- Claude Code Security — AI-powered vulnerability scanning that identifies complex flaws traditional static analysis misses
- Agent Teams — multiple Claude instances working in parallel on cross-layer changes spanning frontend, backend, and tests
20-60% productivity improvement
Based on Anthropic enterprise deployment benchmarks
MCP System Integration
The Challenge
Enterprises operate dozens of disconnected systems — CRMs, ERPs, document stores, databases, APIs — each requiring custom integration work. Every new AI capability means another bespoke connector, another maintenance burden, another point of failure. The result is fragile, expensive data pipelines that can't keep pace with business needs.
Our Solution
The Model Context Protocol (MCP) is the de facto industry standard for connecting AI models to external systems — now under Linux Foundation governance with 97M+ monthly SDK downloads and MCP v2 beta.3 bringing multi-agent communication.
- Custom MCP Servers — secure, structured access to your entire technology ecosystem including CRMs, ERPs, and internal knowledge bases
- Authentication & Audit Logging — enterprise-grade security with rate limiting built in from day one
- Cross-Platform Orchestration — eliminate the integration tax by connecting Salesforce, databases, and APIs through a single protocol
80% reduction in integration time
Compared to traditional point-to-point integration approaches
Autonomous Agent Development
The Challenge
Critical business processes still require constant human monitoring and intervention. Customer enquiries queue overnight, compliance checks run on schedules instead of in real-time, and incident response depends on whoever happens to be on call. Single-purpose bots can't handle the nuance and decision-making these workflows demand.
Our Solution
Using Anthropic’s Agent SDK, we build autonomous AI agents that handle complex, multi-step workflows with human-level judgement — from single specialised agents to coordinated Agent Teams.
- Agent Teams — multiple Claude instances coordinate in parallel, with one as team lead and others as specialists sharing context
- Adaptive Thinking — dynamically adjusts reasoning depth based on task complexity for optimal quality-latency trade-offs
- Computer Use — automates desktop workflows across applications, handling UI interactions autonomously
- Constitutional AI Guardrails — every agent operates within defined boundaries with human-in-the-loop checkpoints for high-stakes decisions
90% faster response times
For automated workflow processing versus manual handling
AI Governance & Compliance
The Challenge
Deploying AI in regulated industries without proper governance is a liability timebomb. Most AI vendors leave compliance as an afterthought, forcing enterprises to either slow-roll adoption or accept unquantified risk. Australian organisations face unique requirements around data sovereignty, privacy, and workplace regulations that generic AI governance frameworks simply don't address.
Our Solution
We build comprehensive AI governance frameworks purpose-designed for Australian regulatory requirements, covering the full lifecycle from alignment to ongoing monitoring.
- Constitutional AI Alignment — embeds your organisation’s values directly into model behaviour and decision-making
- Data Sovereignty Architecture — all processing stays within AWS Sydney region, with IRAP assessment readiness from the ground up
- Claude Code Security — AI-powered vulnerability scanning that traces data flows and identifies business logic flaws
- Compliance Automation — Privacy Act-compliant data handling, risk assessments, bias testing protocols, and clear escalation procedures
Privacy Act & IRAP compliant
Meeting Australian Privacy Act and IRAP standards
Custom Agent Training & Fine-Tuning
The Challenge
Generic AI models lack domain expertise. They hallucinate on specialised workflows and can't learn from your organisation's specific patterns.
Our Solution
We train custom models using open-source foundations and proprietary data — Claude serves as the orchestration and evaluation layer, not the model being fine-tuned.
- Custom Small Language Models (SLMs) — purpose-built from open-source foundations for specific enterprise workflows, delivering faster and more accurate results than general-purpose models
- Reinforcement Learning & RLHF — training pipelines that align custom models with your organisation’s domain expertise
- Custom Tooling Agents — agents that learn from your team’s workflows and continuously improve over time
- Evaluation Frameworks — A/B testing infrastructure and continuous improvement pipelines for every custom agent
Custom-trained for your workflows
Purpose-built for your domain-specific workflows
Enterprise AI Observability
The Challenge
Agentic systems operate autonomously, making it critical to understand what they're doing, why, and whether they're performing as expected. Without observability, autonomous AI is a black box — unacceptable for regulated enterprises.
Our Solution
We implement comprehensive observability stacks that give you end-to-end visibility into every decision your agentic AI systems make.
- Distributed Tracing — OpenTelemetry-based tracing of agent decision chains with structured logging of every tool call and reasoning step
- Real-Time Dashboards — Grafana dashboards showing agent performance, cost, and accuracy metrics at a glance
- Compliance Audit Trails — full audit logging for regulated environments with session replay for debugging
- Anomaly Detection — automated alerting for behaviour drift, cost spikes, and performance degradation
Complete pipeline visibility
End-to-end visibility across your agentic AI systems
Ready to move from AI pilots to production?
Let’s discuss how Claude can transform your enterprise.