Transparent pricing.
Built for enterprise certainty.
Honest, bracketed pricing in AUD. Fixed deliverables, zero token markup, and complete code ownership from day one.
Diagnostic Audits
Definitive feasibility, security analysis, and high-ROI roadmaps before committing engineering capital.
- GEO & AEO Visibility Audit ($4,500 · 2 days)
- Full AI Readiness & Ops Audit ($7,500 · 1–2 weeks)
- Written executive architecture deck & MCP tool specs
- Prioritised ROI financial model & implementation quote
Production Builds
End-to-end multi-agent engineering. We design, build, and deploy production AI into your infrastructure.
- Custom MCP tool servers & external API integrations
- LangGraph multi-agent state machines & deterministic routing
- Permission-aware RAG & Australian cloud data isolation
- Human-in-the-loop approval workflows & 100% IP handover
AI Ops Retainers
Dedicated engineering stewardship after launch to keep your systems fast, reliable, and cost-efficient.
- Continuous regression evaluations & prompt drift monitoring
- Foundation model deprecation upgrades & migrations
- Token cost reduction & inference latency tuning
- Senior ad-hoc engineering support & roadmap evolution
Commercial Principles & Guarantees
Four non-negotiable standards designed to protect your capital, de-risk delivery, and eliminate vendor lock-in.
100% Upfront Fixed Scopes
Every audit and build is scoped with deterministic milestones and fixed-fee certainty before writing code. No hourly surprises.
Zero Vendor Token Markup
You pay foundation model and cloud providers directly at cost through your own enterprise accounts. We never mark up API tokens.
Complete Client IP Ownership
You own 100% of all intellectual property – source code, state machines, custom MCP servers, and evaluation datasets – with zero lock-in.
Senior Delivery Guarantee
Every architecture review and production deployment is executed directly by principal AI engineers. No junior handoffs.
Frequently Asked Questions
Clear answers regarding engagement terms, model token costs, fixed pricing, and IP handover.
How do diagnostic audits transition into production builds?
Diagnostic audits produce a complete architecture blueprint, technical specifications, and prioritised ROI roadmap. When you proceed to a Production Build, this audit serves as the verified sprint blueprint – eliminating guesswork and accelerating delivery.
How do your fixed-price guarantees work, and what if scope changes?
Every engagement is locked with an upfront, fixed-scope quote based on agreed deliverables. If new requirements emerge mid-project, we capture them in a separate fixed quote and timeline, keeping your core deployment on schedule and on budget.
How are LLM token and cloud infrastructure costs billed?
Zero markup. All foundation model API calls (Anthropic Claude, OpenAI, Google Gemini) and cloud hosting (AWS Sydney, Azure Australia East) run directly through your own enterprise accounts. You pay providers directly at cost.
Who owns the intellectual property and code created during the project?
You do – 100%. Upon completion, all source code, LangGraph state machines, custom MCP servers, and prompt templates are transferred entirely to your Git repositories with zero recurring licensing fees.
What post-launch support is included, and how do Retainers work?
All builds include a post-deployment warranty. For ongoing excellence, our AI Ops Retainers (from $4,000 AUD/mo) provide continuous LLMOps, automated regression evals, model deprecation upgrades, token cost tuning, and senior ad-hoc engineering support.
Example Automation Baseline
6 people in operations / triage
× $85 / hour fully loaded cost
× 25% time on repetitive manual work
× 48 working weeks per year
$612,000 / year
locked in manual workflows that could be safely orchestrated with AI
What's your team's actual number?
Enter your team size, average loaded hourly rate, and percentage of manual tasks. Our interactive calculator models your annual recovery potential.