lukas huber
AI Adoption for Swiss SMEs with Lukas Huber and Florian Witschi
YouTubeAI Adoption for Swiss SMEs · Swiss SMEs
Applied AI field lab
Applied AI practitioner
I'm Suhas Bhairav. I design production LLM systems, agentic workflows, and knowledge infrastructure for teams that need measurable AI transformation without theater.
15+ years building systems9 peer-reviewed papersMasters from TU Darmstadt
AI transformation consulting for Europe. Enterprise AI advisor for the US and Canada. AI automation expert for UAE and Dubai. RAG, LLM, and agentic workflow implementation. Enterprise AI consulting, generative AI implementation, AI transformation expert, and AI systems architecture for consulting clients in Europe, United States, Canada, UAE, Dubai, and the Middle East.
Models
Tools
Knowledge
Human judgment
The Bhairav Show
Watch practical AI transformation on YouTube
Production AI, AI agents, RAG, workflow automation, and real-world AI engineering explained for people who want to apply AI inside business without turning every idea into a giant program.
AI lab signal
Models connected to the tools teams already use.
The lab work stays close to real operating surfaces: Slack, HubSpot, Zoho, CRMs, support desks, documents, private models, and the approval paths that keep enterprise AI useful.
Governed LLMAI layer
Slack
HubSpot
Zoho
Salesforce
Notion
Zendesk
RetrieveReasonAct
AI starter templates
Production grade AI starters.
A growing collection of Next.js AI templates for chatbots, RAG, agents, voice, image generation, copilots, analysis, and developer tools, shaped around production guardrails, prompt-injection hardening, setup notes, environment guidance, comparison paths, and a one-click deploy route from GitHub.
0+
Open-source starters
12
Template families
1-click
Deploy path
OpenAIOpenRouterRealtimeRAGAgents
Browse the growing collection Python
JavaScript
Next.js
FastAPI
PostgreSQL
Redis
Docker
AWS
Azure
GCP
LangChain
LlamaIndex
PyTorch
Hugging Face
Logistics
ESG and Climate Tech
Finance
Cyber Security
IoT Security
Manufacturing
The Bhairav Show
Founder talks
Selected systems
Practical prototypes for real revenue, operations, and knowledge workflows.
Practical AI. Built for real work.
0110 guided workflowsRetrievalSales AIGuardrails
Sales Knowledge Engine
A guided AI workspace that turns scattered sales knowledge into account briefs, proposals, meeting prep, and CRM-ready actions.
Explore system
02Hours → minutesRAGCitationsEnterprise
Document Intelligence Copilot
A source-grounded copilot that helps teams find answers across RFPs, proposals, and sales collateral in minutes.
Explore system
03Human-in-the-loopAgentsSupport OpsEvaluation
Support Ticket Intelligence
A multi-agent workflow for triage, root-cause summaries, SLA risk, and governed customer-response drafting.
Explore systemFree resources
Practical AI guides.
Download practical AI PDFs, workflow scorecards, guardrail guides, and department playbooks.
246+
PDF downloads
114
Resource categories
AI MarketingPDF
AI Transformation Guide for Marketing
A practical, beginner-friendly guide for marketing teams to implement AI-driven workflows. It covers content ops, campaign planning, research, reporting, approvals, and safe adoption.
AI ReadinessPDF
AI Workflow Readiness Scorecard
A practical scorecard for leaders who want to know if their process, data, team, tools, risk controls, and ROI case are ready for AI workflows. Use it before investing in automation or agents.
AI Agent SafetyPDF
Safe AI Agent Manual
A practical guide for setting allowed actions, restricted actions, approval steps, escalation rules, tool access, and audit expectations. Use it before giving AI agents real business authority.
What I build
From uncertain idea to dependable system.
I work where AI meets real organizational complexity—legacy systems, sensitive data, human decisions, and the need to prove that something actually works.
01
Agentic systems
Designing observable workflows where models, tools, data, and human judgment work together safely.
- Workflow architecture
- Tool orchestration
- Human oversight
02
Knowledge infrastructure
Building retrieval and graph layers that make enterprise knowledge useful, traceable, and maintainable.
- RAG systems
- Knowledge graphs
- Source grounding
03
Reliable AI delivery
Taking AI beyond the demo with evaluation, failure-mode thinking, security, and production discipline.
- AI evaluation
- Guardrails
- Systems reliability
Sovereign AI chat workspace
Batuk sovereign AI chat for enterprise teams.
A production-grade sovereign AI chat workspace for teams to use Ollama, OpenAI, private model gateways, RAG, agents, auth, audit, and whitelabeled workspaces.
Operating principles
How I think about AI delivery.
The most valuable systems are understandable, governable, and quietly useful in ordinary work.
Useful before autonomous
Start with a real decision or workflow. Earn autonomy through evidence.
Visible before magical
Expose sources, reasoning boundaries, approvals, and failure paths.
Systems before prompts
The model is one component. Data, interfaces, evaluation, and operations make it work.
Research foundation
9publications
Security and reliability are not afterthoughts.
My research in IoT security, static analysis, fuzzing, and graph complexity still shapes how I build AI systems today.
Security2020
OVER: Overhauling vulnerability detection for IoT through automated static analysis
ACM SAC
IoT2019
PIT: A probe into IoT by comprehensive security analysis
IEEE TrustCom
Reliability2018
Security testbed for Internet-of-Things devices
IEEE Transactions on Reliability
Best paper2017
Complexity Reduction in Graphs: A User Centric Approach
IARIA