Generative AI Solutions
Custom LLM, RAG, and agent builds for your specific use case.
Key facts: SISTA AI's Generative AI Solutions design custom LLM, RAG, and agent architectures that save 60-70% of architecture time versus trial-and-error prototyping, reach production-ready validated architecture in 4-6 weeks, and deliver 3x fewer pivots by getting the upfront design right.
Architecture first
Agentic systems built to last
We design the architecture behind reliable generative and agentic AI, not just a demo.
Overview
Generative AI Solutions is an AI architecture and design service that builds custom LLM, RAG, and agent systems for your specific use case. Moving from a chat demo to a reliable business tool requires rigorous architecture. We design the brain and nervous system of your AI applications, defining how models, data, and agents interact to perform complex tasks autonomously and reliably.
What We Offer
We specialize in 'Agentic AI', systems that don't just talk, but actually act. We create the technical blueprints for multi-agent workflows, RAG (Retrieval-Augmented Generation) pipelines, and tool-use integration. While we partner with development teams for the heavy coding, we own the system design, ensuring your AI allows for control, observability, and scalability from day one.
Key Capabilities
Generative AI System Design
Multi-Agent Workflow Architecture
Data Retrieval (RAG) Strategy
Security & Trust Architecture
Business Value
Tangible outcomes that matter to your business.
Blueprints for systems that actually work in production
Scalable designs that grow with your needs
Reduced technical debt through proper foundations
Reliable by design
Systems that hold up in production
Clean structure, guardrails, and evaluation so your AI behaves predictably at scale.
Ideal Use Cases
For companies building their own AI products, internal tools, or customer-facing agents who need a solid technical foundation before writing code.
Outcomes we drive
Production-ready architecture blueprint
Validated RAG pipeline with latency and accuracy targets
Agent orchestration pattern defined
Security, privacy, and compliance controls mapped
Integration plan for data sources, tools, and APIs
Prototype performance benchmarks and test results
Build backlog with estimates and owners
Risk mitigation and fallback strategy
Our Methodology
A proven approach that delivers results.
We combine design thinking with technical rigor. Our architecture process includes requirement analysis, technology selection, prototype validation, and iterative refinement. We leverage industry best practices from leading AI labs and enterprise deployments to ensure your solution is production-ready.
Your stack, extended
Fits your data and infrastructure
We build on your existing systems with patterns proven in real deployments.
Impact & economics
What you can expect before you commit.
Architecture time saved
60-70%
vs. trial-and-error prototyping without a blueprint.
Production readiness
4-6 weeks
From concept to validated architecture ready for build.
Rework reduction
3× fewer pivots
Proper upfront design prevents costly mid-build changes.
Engagement options
Time-boxed, owner-assigned, cost-aware.
Blueprint
2-3 weeksArchitecture design for one GenAI system or agent workflow.
Deliverables
Technical blueprint, data flow diagrams, and tech stack recommendations.
Full Stack
4-6 weeksEnd-to-end architecture with RAG, agents, and integrations.
Deliverables
Complete system design, security specs, and implementation guide.
Build Partner
6-10 weeksArchitecture plus hands-on build oversight with your dev team.
Deliverables
Working prototype, code reviews, and production deployment plan.
Proof in practice
Real client patternRAG system deployed to 500 support agents in 5 weeks.
- 80% ticket deflection achieved within first month.
- Sub-2-second response latency with 95% retrieval accuracy.
- Architecture scaled to 3 additional departments without redesign.
Risk & compliance
Model abstraction: swap providers without rewriting your stack.
Data isolation: embeddings and context stay in your environment.
Observability baked in: trace every agent action and retrieval call.
Graceful degradation: fallbacks for model outages and rate limits.
Is this a fit?
Clarity before you commitGood fit
- You have a clear GenAI use case but need the technical blueprint.
- Your dev team is capable but lacks LLM/agent architecture experience.
- You want production-grade design, not a hackathon prototype.
Not a fit
- You need us to write all the code, we architect, not build.
- You're still exploring whether AI fits your business at all.
- You want a simple chatbot wrapper with no custom logic.
After the engagement
We don’t leave you hangingCode review sessions during your team's build phase.
Architecture office hours for design questions and pivots.
Performance tuning guidance before production launch.
Key Deliverables
Technical Architecture Blueprint
RAG Pipeline Design & Data Flow Diagrams
Agent Orchestration Framework
Security & Compliance Specifications
Implementation Guide for Development Teams
Industries We Serve
Technology & SaaS
Professional Services
Media & Content
Customer Service & Support
How We Work
8 steps from discovery to scale, you always know what happens next.
What to expect
- Fast alignment on goals and success metrics
- Weekly visibility with clear owners
- Ship fast, measure, iterate
Requirements Discovery
Understand your use cases, data landscape, and integration requirements.
Architecture Design
Create detailed technical blueprints, select technologies, and design data flows.
Prototype & Validate
Build proof-of-concept to validate architecture decisions and performance.
Documentation & Handoff
Deliver comprehensive documentation and knowledge transfer to your team.
Frequently Asked Questions
Click to expand answers01Which LLM providers do you work with?+
02Can you integrate with our existing systems?+
03Do you handle the actual development?+
04How do you handle RAG pipeline optimization?+
05What about multi-agent coordination?+
Blueprint to build
Design through to delivery
We take the architecture from design to a working, monitored system.
Ready to Transform?
Let's discuss how we can bring clarity and execution to your AI initiatives.