Practice · AI Strategy
AI you can actually deploy.
Most AI initiatives die between the pilot and production. We sit with your leadership, your data, and your risk posture — and return with an AI roadmap that survives legal, security, and the board.
Nexora · Advisory File
The Thesis
“Generative AI is not a procurement decision. It is an architecture decision, a data decision, and a governance decision — usually in that order.”
— Nexora AI Practice
What We Do
The scope of work.
Executive AI Roadmap
A 90-day plan that ranks use cases by value, risk, and time-to-production — calibrated to your industry and data maturity.
Model & Platform Selection
Vendor-neutral evaluation across OpenAI, Anthropic, Google, AWS Bedrock, Azure AI, and open-weight options. No reseller bias.
Data Readiness & RAG Architecture
Retrieval, vector strategy, and the unsexy data plumbing that determines whether your AI actually knows what your company knows.
AI Governance & Risk
Policy, acceptable-use, model audit, and the controls your CISO, GC, and board will sign off on before production.
Agentic Workflow Design
Where agents replace process — and where they shouldn't. Designed by engineers who have shipped them, not just slide-decked them.
Build vs. Buy vs. Wait
An honest read on what to build internally, what to buy now, and which categories are 12 months from being commoditized.
How the Engagement Runs
Three phases. One decision-grade outcome.
01 · Assess
Where AI actually fits.
Working sessions with your leadership, data, and security teams to map current state and rank candidate use cases.
02 · Architect
The reference architecture.
Model, data, integration, and governance — documented to the level your engineering and security teams can execute against.
03 · Advise
Stay on the call.
Ongoing executive advisory as you ship, including vendor negotiations, model swaps, and quarterly architecture reviews.
22
Specialized Engineers Behind Every Engagement
0
Vendor Commissions. Independent by Design.
90d
From First Conversation to Executive Roadmap
Questions We Answer
If any of these sound familiar, we should talk.
- Q.01Where will AI actually create leverage in our P&L in the next 12 months?
- Q.02Do we build on OpenAI, Anthropic, or our own infrastructure — and why?
- Q.03Is our data ready for retrieval, or are we three quarters of work away?
- Q.04What policy and controls does our board need to see before we go to production?
- Q.05Which AI vendors are signal, and which will be acquired or commoditized?
Next Step
An hour with an engineer is worth a quarter of vendor meetings.
Bring the question. We bring the bench. No deck. No pitch. A working conversation with the specialist most relevant to your decision.
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