Three paths to production.
Every engagement starts with a clear scope. Every deliverable is a working system, not a presentation.
Discovery Sprint
2–4 weeks · Fixed priceA structured engagement where we assess your data, map your highest-value AI use cases, and deliver a concrete roadmap — with a build-vs-buy recommendation and ROI projections for each opportunity identified.
Most organisations have more AI opportunity than they realise — and more data-readiness gaps than their vendors will admit. We surface both, honestly, before a single dollar is committed to build.
What you get
- →AI opportunity map across your business units
- →Data readiness assessment with gap analysis
- →Build vs buy recommendation per use case
- →Prioritised roadmap with sequencing rationale
- →ROI projection and business case for top use case
- →Architecture brief ready for immediate PoC scoping
Who it's for
Operations and digital leaders evaluating whether AI is worth a serious investment. Companies that have been burned by consultancy decks and want a grounded assessment before committing budget.
PoC Build
6–12 weeks · Outcome-basedWe embed a forward-deployed engineer inside your team for six to twelve weeks. They build a production-ready proof of concept using open-source models on your infrastructure — and hand over the code, documentation, and capability to run it independently.
This is not a sandbox demo. The deliverable is a working system in your environment, on your data, ready to put in front of real users. By the end, your team knows how to operate and extend it.
What you get
- →Production-ready PoC deployed on your infrastructure
- →Open-source model selection and fine-tuning
- →Privacy-preserving architecture implementation
- →Full test suite and performance benchmarks
- →Runbook and operational handover documentation
- →Team knowledge transfer and Q&A sessions
Who it's for
Teams with a clear use case and budget to prove it works in production within a quarter. Engineering-led organisations ready to embed a partner alongside their existing staff.
Full Transformation
6–24 months · RetainerFor organisations ready to move beyond a single use case. We deploy a multi-agent system across business units, stand up a self-learning agent factory, and operate voice-to-action systems for field teams — all on-premise, at a fraction of hyperscaler cost.
The agent factory is the key deliverable: a meta-system that lets your internal team build, tune, and deploy new agents from operational briefs without writing code. You leave the engagement with permanent capability, not permanent dependency.
What you get
- →Multi-unit AI deployment across target business areas
- →Self-learning agent factory — build agents from briefs
- →Voice-to-action field systems for non-desk workers
- →Ongoing model improvement and retraining pipelines
- →Dedicated managed support and SLA
- →Internal AI engineering capability uplift program
Who it's for
Multi-unit enterprises ready to operationalise AI across the business. PE-backed mid-market companies under pressure to compound EBITDA through automation at minimal marginal cost.
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