What we do
We bridge the gap between the AI demo and the production deployment. Most enterprises know GEN AI matters — what they need is a plan that ties it to revenue, risk, and the operating model. AICXEN works with your leadership team to identify the highest-leverage use cases, design a reference architecture grounded in your cloud and data estate, and stand up the first wave of GEN AI applications under a single delivery team.
Engagement model
- Discovery (2 weeks) — opportunity mapping across functions, data readiness assessment, security and compliance review.
- Reference architecture (2–4 weeks) — multi-cloud GEN AI blueprint, model selection, RAG pipeline design, MLOps tooling.
- Production build (4–12 weeks) — first 1–3 use cases shipped end to end with evaluation harness and observability.
- Run & evolve — managed model evaluation, prompt and policy ops, continuous cost and quality optimization.
Deliverables
- Prioritized GEN AI opportunity map with ROI estimates
- Multi-cloud reference architecture (AWS, Azure, GCP)
- RAG pipeline and vector store design
- Evaluation framework and golden-set regression tests
- Security and compliance posture (SOC 2 / GDPR / HIPAA)
- MLOps runbooks, dashboards, and on-call rotations
Why AICXEN
We have stood up production GEN AI for regulated industries on every major hyperscaler. We are model-agnostic and platform-agnostic — our recommendations are grounded in what works at your scale, not what we are paid to resell.
Ready to start? Tell us about your environment and goals — we'll come back within one business day with a working session. Talk to us →