Most clients have a working proof of concept within 4–6 weeks. A full production deployment typically ranges from 3 to 6 months depending on integration complexity, data readiness, and governance requirements. Our structured delivery model is designed to move fast without sacrificing quality or security.

LLM evaluation is the process of systematically measuring model performance — accuracy, relevance, safety, and consistency — before and after deployment. A well-designed LLM evaluation framework catches issues before they reach production and provides the feedback loop needed for continuous improvement. Our LLM testing process includes automated regression tests, adversarial prompts, and domain-specific benchmarks.

Yes. We implement strict data governance from day one — role-based access controls, encrypted data pipelines, and options for on-premise or private cloud deployment. We never use your proprietary data to train external models. Our approach is aligned to enterprise compliance requirements and applicable data privacy regulations.

Yes — this is a core capability. We specialise in LLM API-based integration with Salesforce, SAP, Workday, ServiceNow, Microsoft 365, and custom legacy systems. Our integration practice has delivered 100+ enterprise integrations globally. AI embedded into existing systems creates far more business value than standalone AI solutions that sit outside your workflows.