Start with Secure, Responsible Adoption
Centric ensures Generative AI is implemented with governance, value alignment, and operational clarity. Engage our experts to architect your enterprise GenAI strategy and knowledge systems.
Centric enables enterprises to adopt Generative AI responsibly, securely, and with measurable business value. Our focus is not experimentation - it is controlled deployment of LLMs, Retrieval-Augmented Generation (RAG), and knowledge assistants integrated with enterprise systems, governance frameworks, and data controls.
Organizations are overwhelmed with unstructured data - documents, policies, manuals, procedures, and historical knowledge that remains underutilized. Generative AI unlocks this knowledge, providing contextual answers, summarization, and intelligent guidance without exposing data externally or risking compliance.
Our approach ensures Generative AI is governed, secure, and architected for business outcomes - not hype.
AI models tailored to organizational context, securely integrated with line-of-business systems.
Ground responses in approved, version-controlled enterprise knowledge rather than open internet data.
AI systems that cite sources, summarize, classify, and answer queries based on organizational documentation.
Enterprise security, identity control, data boundaries, compliance, risk evaluation, and responsible AI.
We architect custom LLM solutions aligned with business workflows, security policies, and compliance requirements.
Leveraging generative AI to create domain-specific models that are finely tuned to industry needs, enhancing accuracy and performance for specialized applications.
Seamlessly integrating generative AI with ERP, CRM, and knowledge management platforms to enhance data flow, automate processes, and drive intelligent decision-making across business functions.
Implementing generative AI to enforce robust identity and access control measures, ensuring secure and compliant management of user permissions across systems and platforms.
Establishing enterprise-grade guardrails with generative AI to ensure secure, compliant, and efficient usage across systems, mitigating risks and maintaining operational integrity.
We design and implement RAG systems to deliver accurate, verifiable, and explainable responses using structured pipelines.
Utilizing generative AI to efficiently ingest and index vast amounts of data, enabling faster retrieval and seamless integration into knowledge systems for enhanced decision-making.
Integrating generative AI models with retrieval stores to enhance data accessibility, enabling efficient search, retrieval, and utilization of knowledge across systems.
Leveraging generative AI to inject relevant context and re-rank results, optimizing search outcomes and ensuring more accurate and contextually appropriate responses.
Ensuring generative AI outputs are backed by verifiable source citations, enabling full traceability of information for transparency and trust in decision-making.
We build knowledge assistants that search, summarize, and classify enterprise documents - with transparent source citation.
Empowering organizations with generative AI-driven Q&A systems that provide quick, accurate, and contextually relevant answers, enhancing knowledge sharing and decision-making across the enterprise.
Utilizing generative AI to assist in creating, updating, and adhering to policies and standard operating procedures (SOPs), ensuring consistency, compliance, and operational efficiency across the organization.
Leveraging generative AI to efficiently summarize, extract key insights, and classify information from large datasets, enhancing data accessibility and supporting informed decision-making.
Ensuring generative AI delivers responses that are tailored to specific jurisdictional and compliance requirements, maintaining legal and regulatory adherence across regions.
We define governance models, controls, and gated access to ensure safe, compliant adoption.
Implementing generative AI to enforce role-based access and robust security controls, ensuring sensitive data is accessible only to authorized users while maintaining compliance.
Ensuring data compliance with local residency and sovereignty laws through advanced encryption techniques, securing sensitive information while maintaining full control over its location and access.
Managing risks and model drift with generative AI while enforcing policy governance to ensure consistent performance, compliance, and accountability across AI-driven systems.
Ensuring generative AI systems are aligned with regulatory requirements and providing full auditability to maintain transparency, compliance, and accountability in all operations.
We follow a structured and responsible approach to building generative AI and knowledge systems that deliver accurate, trustworthy results. Our process begins with understanding your data, use cases, and governance requirements, followed by designing secure architectures and retrieval-augmented solutions. We focus on model quality, relevance, and explainability to reduce risk and hallucinations. From deployment to continuous optimization, we ensure your generative AI systems remain reliable, scalable, and aligned with business goals.
Evaluate systems, governance, and integration paths.
Build controlled pilots with guardrails, testing real use cases.
Rollout with security boundaries, identity enforcement, and monitoring.
Centric ensures Generative AI is implemented with governance, value alignment, and operational clarity. Engage our experts to architect your enterprise GenAI strategy and knowledge systems.
We deliver comprehensive generative AI and knowledge system solutions that transform enterprise data into actionable intelligence. Our services include LLM integration, retrieval-augmented generation (RAG), knowledge graph development, prompt engineering, and model evaluation. We design secure, scalable architectures that ensure accuracy, compliance, and data privacy. From strategy and implementation to continuous optimization, we help organizations unlock the full potential of generative AI.
• Faster access to institutional knowledge
• Reduced support load and decision latency
• Standardized responses with policy compliance
• Higher productivity without custom search tooling
• Trustworthy responses grounded in organizational truth
• Organizations with siloed or document-heavy operations
• Regulated industries requiring secure AI boundaries
• Enterprises seeking GenAI without public data exposure
• Leaders requiring value justification before scaling
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Not necessarily - we select the right foundation model based on cost, control, and compliance.
No. It augments decision-making with faster access to knowledge.
Yes - via Azure, hybrid models, or edge deployments where required.
Only when scoped; this is not a dashboard or analytics initiative.
Spanning 8 cities worldwide and with partners in 100 more, we're your local yet global agency.
Fancy a coffee, virtual or physical? It's on us – let's connect!





Spanning 8 cities worldwide and with partners in 100 more, we're your local yet global agency.
Fancy a coffee, virtual or physical? It's on us – let's connect!