We integrate Claude API into enterprise systems. Without replacing what you already have.
Approach API-first: agents, copilots, RAG, workflow automation. Implementation with compliance (LFPDPPP, SOC 2 alignment), observability of LLM costs and handoff with team training.
Models we work with.
Claude (Anthropic)
Our recommended model for most enterprise use cases. Best for long-context reasoning and instruction-following.
OpenAI GPT-4 / 5
When the use case requires GPT specifics: vision pipelines, real-time API, specific function calling patterns.
Gemini (Google)
For projects with Google Workspace integration, multimodal at scale, or when client mandates Google.
Open-source (Llama, Mistral)
When there are data residency constraints or the client requires running models on their own infrastructure.
Where we usually deploy AI.
- AI agents for customer support
- Internal copilots for commercial teams
- RAG over internal documentation
- Workflow automation
- Legal / technical document analysis
- Assisted proposal generation (ref: GV Proposals)
GV Proposals: 2 years operating on Claude API.
Internal product we use daily to generate commercial proposals. Lives in production since 2024 with measured impact: ~80% reduction in proposal-writing time, higher acceptance rate, and a documented stack we use as blueprint for client AI projects.
What we guarantee.
- LFPDPPP compliance (Mexican enterprise) operating under signed NDA from first contact.
- SOC 2 alignment for US enterprise — technical & procedural controls aligned to the framework.
- Client data NEVER used for model training (Anthropic API, OpenAI Enterprise, Gemini).
- LLM cost auditing — token usage, latency p95/p99, retry rates instrumented from day 1.
- Call and latency observability via OpenTelemetry / Datadog / client-preferred APM.
4 phases, end-to-end.
1-2 weeks
Identify AI use cases with clear ROI in your current systems.
1 week
Integration architecture + prompt engineering + cost modeling.
3-6 weeks
Implementation + testing + observability + security hardening.
Continuous
Monitoring, cost optimization, fine-tuning, model upgrades.
30-min discovery call. We map opportunities and quantify potential ROI before any commitment.