Question 1

What is Claude and how is it different from ChatGPT?

Accepted Answer

Claude is Anthropic's AI model, designed with Constitutional AI to be safe, auditable, and controllable in enterprise environments. Unlike ChatGPT, Claude offers a 1M token context window, 98.1% performance in Spanish, native Zero Data Retention, and a safety approach ideal for regulated industries.

Question 2

How much does it cost to implement Claude?

Accepted Answer

Discovery & Assessment costs $15K-$40K USD (2-3 weeks). MVP implementation ranges from $50K-$200K USD (8-12 weeks). Managed AI Ops operates as a monthly retainer of $10K-$50K USD.

Question 3

How long does it take to implement Claude?

Accepted Answer

Discovery takes 2-3 weeks. MVP implementation takes 8-12 weeks. Code modernization projects can take 12-20 weeks.

Question 4

Is Claude safe for financial data?

Accepted Answer

Yes. Claude offers Zero Data Retention (ZDR) — your data is never stored or used for training. Constitutional AI allows auditing the model's reasoning. Compliant with LGPD, CNBV, CNSF, and SFC.

Question 5

What is the Anthropic Partner Network?

Accepted Answer

Anthropic's official partner program with $100M USD investment. Partners get direct technical support, 5,000 free CCA certifications, co-marketing, and a public directory at claude.com/partners/services.

Question 6

What is Zero Data Retention (ZDR)?

Accepted Answer

Data sent to Claude through the API is not stored on Anthropic's servers after processing and is never used for model training.

Question 7

What industries does VORANTIS serve?

Accepted Answer

Financial Services, Manufacturing, Retail & E-commerce, and Energy & Mining — industries with high document volume and regulatory pressure.

Question 8

What is MCP (Model Context Protocol)?

Accepted Answer

An open protocol by Anthropic that connects Claude directly with external systems like SAP, Salesforce, core banking, SCADA, and databases.

Question 9

How well does Claude understand Spanish?

Accepted Answer

Claude has 98.1% performance in Spanish vs English baseline, understanding nuances in Mexican, Colombian, Argentine Spanish and Brazilian Portuguese.

Question 10

Can I use Claude with AWS Bedrock?

Accepted Answer

Yes. We deploy Claude through AWS Bedrock with data residency in São Paulo (sa-east-1) or US regions.

Question 11

What is RAG (Retrieval-Augmented Generation)?

Accepted Answer

An architecture combining Claude with your company's document knowledge base for precise, verifiable, source-cited answers.

Question 12

What's the difference between VORANTIS and Big Four consultancies?

Accepted Answer

VORANTIS is 100% dedicated to Claude with competitive pricing and deep LATAM expertise, without Big Four overhead.

Question 13

What is CCA (Claude Certified Architect)?

Accepted Answer

Anthropic's official certification validating deep Claude knowledge and enterprise solution design capability.

Question 14

Do I need special infrastructure for Claude?

Accepted Answer

No GPU infrastructure needed. Claude deploys through Anthropic's API or AWS Bedrock. You need internet, document storage, and core system connectivity.

Question 15

How do I get started?

Accepted Answer

Book a free 30-minute Discovery Call to evaluate your operation and identify highest-ROI use cases.

Question 16

Can Claude generate code? What is Claude Code?

Accepted Answer

Yes. Claude Code achieves 80.8% on SWE-bench. It enables legacy code modernization, documentation generation, SCADA refactoring, and automated testing.

Question 17

What is Constitutional AI and why does it matter?

Accepted Answer

Constitutional AI trains Claude to follow explicit, auditable principles. Enterprises can explain to regulators why the model made a decision, not just what it decided.

Question 18

Does VORANTIS work with companies outside Mexico?

Accepted Answer

Yes. We serve enterprises across Latin America including Colombia, Brazil, Chile, Peru, and Argentina, with understanding of each country's specific regulations.

Question 19

What happens after the MVP?

Accepted Answer

You can operate internally or use Managed AI Ops ($10K-$50K/mo) for monitoring, optimization, and expansion. The goal is team self-sufficiency.

Question 20

What is the difference between Claude Opus, Sonnet, and Haiku?

Accepted Answer

Opus is most capable for complex analysis. Sonnet balances performance and cost for most enterprise use cases. Haiku is fastest and cheapest for high-volume tasks. Many implementations combine all three.

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