Generative AI consulting from Agility covers the full stack: LLM integration, RAG knowledge systems, AI agents, and document automation — all production-ready in 3–8 weeks. We deploy against GPT-4o, Claude 3.5, and LLaMA 3 depending on your data residency requirements. A typical RAG system connects to your internal knowledge base (Confluence, SharePoint, PDFs, SQL) and returns cited, auditable answers. AI agents built with LangGraph and AutoGen handle multi-step workflows — research and draft pipelines, automated customer workflows, and data enrichment processes that replace manual analyst tasks. Document automation extracts structured data from contracts, invoices, and medical records with 92–95% accuracy. Every engagement includes model evaluation covering hallucination rate, latency, and cost per query, integration into your production stack via REST API or SDK, and 90 days of post-launch monitoring. Single-use-case deployments start at $30,000–$60,000 with fixed-scope pricing.
From strategy to production deployment every service is scoped for speed and measurable outcomes.
Connect GPT-4, Claude, Gemini, or LLaMA to your internal systems with proper guardrails, cost controls, and business logic.
Build enterprise knowledge systems that answer questions from your own documents, databases, and internal knowledge bases accurately.
Deploy multi-step AI agents that can research, reason, and execute tasks across your business systems without human-in-the-loop for each step.
Automate document-heavy processes: contracts, invoices, medical records, compliance reports, and customer communications.
When general models fall short, we fine-tune open-source LLMs on your domain data for higher accuracy, lower cost, and full data control.
Not sure where to start? We map your business processes to generative AI use cases, rank them by ROI, and build a phased implementation plan.
Concrete use cases we've shipped not whitepaper concepts.
Clinical note summarization, prior auth drafting, patient Q&A bots
Claims triage, policy Q&A, underwriting document extraction
Maintenance report generation, quality defect analysis, supplier RFQ drafting
Financial report summarization, regulatory filing assistance, client email drafting
Product description generation, customer support bots, review analysis
Shipment status bots, route optimization commentary, compliance documentation
We work with every major LLM platform and framework model-agnostic, infrastructure-flexible.
Generative AI consulting is the process of helping businesses identify, design, and implement generative AI systems such as LLM-powered chatbots, RAG knowledge bases, AI agents, and document automation tools in a way that delivers measurable business value.
A focused generative AI project typically takes 3-8 weeks with Agility. A RAG system or chatbot can go live in 3-4 weeks. A multi-agent workflow or fine-tuned model deployment typically takes 6-10 weeks. We scope tightly and ship fast.
Yes. We have extensive experience building systems that keep sensitive data inside your own cloud environment, never sending it to third-party model APIs. We support Azure OpenAI, AWS Bedrock, and self-hosted open-source models for full data sovereignty.
Healthcare, insurance, manufacturing, finance, retail, and logistics are our primary verticals. Each has specific compliance and data requirements that we handle as part of the implementation.
Tell us your use case. We'll scope a plan and give you a timeline in 48 hours.
Talk to a Generative AI ConsultantExplore the rest of Agility's AI engineering and consulting services.
Senior, pre-vetted ML, LLM, data and MLOps engineers — dedicated teams or staff augmentation.
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Learn moreFine-tuning, RAG and private LLM deployment on your data.
Learn moreGlobal AI delivery from our India hubs.
Learn moreLocal AI expertise in Ahmedabad, Gujarat.
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Learn moreClinical decision support, medical document AI, and HIPAA-compliant ML for health systems.
Learn moreClaims automation, fraud detection, and underwriting AI for P&C, life, and health insurers.
Learn moreRoute optimization, demand forecasting, and warehouse AI for supply chain operators.
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