AI Consulting Services
Expert AI consulting services from a team that ships production AI systems, not slide decks. BigData Boutique helps engineering and product teams plan, build, and operate AI on their own data — from strategy and use-case discovery to generative AI, agents, RAG, and MLOps.
Our AI Consulting Services
AI initiatives succeed or fail on their data foundations. We came to AI from search and data engineering, and it shows in what we ship: systems grounded in your data, with the retrieval and pipelines engineered to hold up in production.
AI Strategy Consulting
Use-case discovery, feasibility assessment, and a pragmatic AI roadmap. We identify where AI delivers measurable ROI on your data and where it does not — before you commit budget
Generative AI Consulting
Generative AI consulting services covering model selection, prompt and context engineering, fine-tuning, evaluation, and cost control — on AWS Bedrock, Anthropic Claude, OpenAI, and open-source models
AI Agents & Agentic Workflows
Production AI agents that do real work — tool calling, orchestration, guardrails, and observability. See our AI agent development practice for the full offering
RAG & Search
Retrieval-Augmented Generation pipelines, vector and hybrid search, and semantic search built on Elasticsearch, OpenSearch, and vector databases — the retrieval quality your AI answers depend on
AI Integration & Implementation
AI integration consulting that connects models to your existing products, data platforms, and workflows — APIs, streaming pipelines, security, and compliance included
MLOps & Production AI
Deployment, monitoring, evaluation, and lifecycle automation for models and LLM applications. See our dedicated MLOps consulting services
Proven in Production
Max Security — SCOUT AI
We built an AI-powered intelligence agent on OpenSearch, AWS Bedrock, and Anthropic Claude that made proprietary intelligence instantly accessible — cutting analyst briefing time by 79% and saving 7 hours per analyst every week. Read the case study.
ScreenSteps — Hybrid AI Search
We designed a hybrid search framework combining Elastic Cloud, AWS Bedrock, Nova, and Cohere V4 that dramatically improved search precision and reduced failed searches. Read the case study.
Why Choose BigData Boutique for AI Consulting?
Data-First AI
Most AI failures are data failures. Our roots in search, streaming, and analytics mean we fix the retrieval, pipelines, and data quality that determine whether AI actually works.
Production Mindset
We deliver systems with evaluation suites, guardrails, monitoring, and cost controls — the difference between a demo and a product your customers rely on.
Vendor-Neutral
We recommend the models, clouds, and tools that fit your requirements and budget — commercial or open source — not the ones that pay us referral fees.
Speed to Value
Our fast-track engagements take AI workloads from ideation to production in weeks, not quarters — see the GenAI & RAG fast track on AWS.
Frequently Asked Questions
What AI consulting services does BigData Boutique offer?
We offer end-to-end AI consulting services: AI strategy and use-case discovery, generative AI consulting, AI agent development, RAG and semantic search, AI integration with existing systems, and MLOps for production AI. Engagements range from short strategy assessments to full build-and-deploy projects.
Which AI platforms and models do you work with?
We work with AWS Bedrock and SageMaker, Anthropic Claude, OpenAI, Google Gemini, and leading open-source models, plus the retrieval stack around them: Elasticsearch, OpenSearch, ClickHouse, and vector databases. We are vendor-neutral and recommend what fits your requirements.
How is BigData Boutique different from a general AI consulting firm?
AI systems are only as good as the data and retrieval behind them. We have 15+ years of hands-on search and data engineering expertise, which is why our AI projects reach production: the data foundations are engineered properly, not bolted on.
Do you help companies that are just starting with AI?
Yes. Our AI strategy consulting engagements start with use-case discovery and feasibility assessment on your actual data. You get a pragmatic roadmap with expected costs and ROI before committing to implementation.
Can you take an existing AI proof-of-concept to production?
This is one of our most common engagements. We harden POCs with evaluation frameworks, guardrails, observability, security controls, and cost optimization — typically reaching production within weeks.
Related AI Resources: AI Agent Development · MLOps Consulting · Machine Learning Consulting · Amazon Bedrock Consulting · What is Agentic AI?
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