AI Transformation.
Proven in Production.
CXO Mirror embeds forward-deployed engineers directly into your organisation — delivering AI at 5–10× lower cost and zero data sovereignty risk. No vendor lock-in. No slides. Just working systems.
Three paths to production
Discovery Sprint
2–4 weeks · Fixed price
Map your highest-value AI use cases, assess data readiness, and get a clear build-vs-buy recommendation with ROI projections — before committing to a full build.
- →AI use case mapping and prioritisation
- →Data readiness assessment
- →Build vs buy recommendation
- →ROI projection and business case
PoC Build
6–12 weeks · Outcome-based
A forward-deployed engineer works inside your team to deliver a production-ready proof of concept — using open-source models, privacy-preserving architecture, and a clear handover plan.
- →Forward-deployed engineer on-site
- →Open-source model selection and tuning
- →Privacy-preserving architecture design
- →Documentation and capability handover
Full Transformation
6–24 months · Retainer
Embed AI across multiple business units. Build a self-learning agent factory, deploy voice-to-action systems, and operate at a fraction of hyperscaler cost with managed support.
- →Multi-unit AI deployment
- →Self-learning agent factory
- →Voice-to-action and field systems
- →Ongoing managed support
The model that actually works
5–10× lower token costs
We run open-source models proven in our own production products — the same stack that powers AgriTwin and our voice-commanded field agents.
Privacy-first by design
On-premise deployment is the default, not an add-on. Your data never leaves your infrastructure. No shared model weights. No cloud logging.
Engineers, not slide-makers
We build working systems inside your team and transfer capability to your people. We leave when the job is done — not before.
Token cost · Same workload
Potential annual saving
~$1.1M
On a $1.2M/yr OpenAI/Anthropic spend
Indicative cost comparison · Same task, same output quality
We built this for ourselves first.
Self-learning agents for Australian dairy farmers
We built AgriTwin using our own agent factory and voice-commanded AI — 100% on-premise with zero cloud data exposure. Field workers command AI agents by voice. The system learns herd patterns, flags anomalies, and syncs decisions across the farm automatically.
All processing on-premise · Zero cloud data exposure
Ready to see what AI can do inside your business?
Start with a two-week Discovery Sprint. Fixed price. No lock-in. Walk away with a clear roadmap — or a working prototype.
Email KK.Santhanam@cxomirror.com