An AI environment operating directly on your internal documents, processes, and corporate context – remaining strictly inside your private infrastructure. Independent architecture design, vendor evaluation, and executive guidance throughout implementation.
Assess Corporate LLM fit in a free AI CheckI am an independent strategist, not a software integration vendor. I define your functional requirements, independently evaluate vendor options (open source vs. proprietary, on-premise vs. private cloud, RAG vs. fine-tuning), design the system architecture, and draft implementation specs.
Technical deployment is executed by specialized implementation partners from my network. I serve as your executive advocate, ensuring the deliverable matches your business needs rather than vendor sales targets.
Post-deployment, I support your leadership through the initial months of live operation. This is where most Corporate LLM initiatives fail: not in technical deployment, but in operational adoption.
We clarify whether your compliance requirements justify a Corporate LLM or if a simpler alternative is better suited.
We test real operational tasks within one department to validate functional requirements before committing capital.
Requirements specification, architecture design, vendor selection, handover to implementation partners, and rollout guidance.
A Corporate LLM is a dedicated AI language model environment deployed inside your private infrastructure. Sensitive data never leaves your company boundary, allowing the model to work directly with your internal documentation, processes, and corporate context.
Whenever one of three criteria applies: your data cannot leave your internal network (personnel records, legal contracts, customer data, source code), the model must query internal knowledge, or AI adoption is blocked by privacy concerns. If none apply, public tools are usually more cost-effective – and I will candidly tell you so.
Yes, that is the foundational principle. A Corporate LLM processes data within your private infrastructure, whether on-premise or in a private cloud. Which deployment model fits your security requirements is determined independently during initial architecture planning.
Not necessarily. Depending on security requirements, a private cloud setup may suffice; in other cases, on-premise hosting is necessary. I independently evaluate vendor options (open source vs. proprietary, on-premise vs. private cloud) and recommend what fits your compliance needs and budget.
Three steps: a free 30-minute AI Check, followed by a Use Case Sprint with one department to determine operational requirements, and finally architecture design and vendor selection. Technical implementation is handled by specialized technical partners while I serve as your executive advisor throughout rollout.
A Corporate LLM is a significant enterprise investment. Before allocating budget, we clarify in a free AI Check whether it truly fits your requirements – or if a simpler alternative achieves the same result.