Founder‑led AI Studio Guardrails & SLAs 2–6 week sprints

Production AI Agents, RAG Pipelines & Guardrails — Delivered end‑to‑end.

Orchestration with LangChain/LangGraph, vector search with pgvector/Pinecone, structured outputs, and observability from day one.

Start with the builder View offers

3.4×

Avg pilot ROI (90d)

≤ 6 wks

Time‑to‑prod

99.9%

SLA coverage

Key Outcomes

3.4× Average ROI

in 90 Days

We deliver measurable business growth quickly and reliably.

Production-Ready

in 6 Weeks or Less

Fast deployment without cutting corners on quality.

99.9% Uptime

Guarantee

Your AI systems run reliably when you need them most.

Our Process

Initial Consultation

Building Agents & Pipelines

Guardrails & Testing

Flawless Updates Every Time

Live Deployment and Monitoring

Client Success

12%

Boosted Click-Through Rates

Helping businesses get more from their data without the hassle.

Why You Need Blackline AI to Turbocharge Your Business

Stop waiting for AI to transform your operations. Get production-ready solutions that deliver measurable results.

Accelerate Time-to-Value

Get production-ready AI solutions in 2–6 weeks, not months. Our productized bundles deliver measurable ROI from day one.

Proven ROI

Average 3.4× ROI within 90 days. We build with clear acceptance tests and metrics, so you see results fast.

Enterprise-Grade Guardrails

Built-in compliance, observability, and SLAs. Your AI agents operate safely with 99.9% uptime guarantees.

Fixed Pricing, Clear Deliverables

No scope creep. Time-boxed sprints with defined outcomes, acceptance tests, and transparent pricing.

Production-Ready from Day One

We ship with Langfuse observability, structured outputs, vector search, and guardrails—not prototypes.

Founder-Led Expertise

Direct access to technical leadership. No account managers—just builders who understand your business.

How It Works

Our systematic approach to implementing production-ready AI systems for your business.

Data Ingestion & Vector Database Setup

We take all your business documents, knowledge base, and data and organize them in a way that AI can understand and search through intelligently.

In Plain Terms

A vector database is like a smart filing system that understands the meaning of your content, not just keywords. Think of it as Google for your internal documents—it finds relevant information even when the exact words don't match.

Business Impact

Why this matters: Your AI system needs access to your company's knowledge to answer questions accurately. Without this, AI can only give generic answers. With it, your AI understands your specific business context, policies, and data—enabling it to handle customer inquiries, find information, and make decisions based on your actual business knowledge.

Extract and organize documents (PDFs, contracts, manuals, databases)
Convert content into AI-readable format that understands meaning and context
Create a searchable knowledge base that finds relevant information instantly
Enable both keyword and meaning-based search for better results

pgvectorPineconeWeaviateOpenAI Embeddings

RAG Pipeline Implementation

We connect your knowledge base to the AI so it can pull relevant information and give accurate, context-aware answers based on your actual business data.

In Plain Terms

RAG (Retrieval-Augmented Generation) means the AI looks up information from your database before answering, rather than relying only on its training data. It's like giving your AI assistant access to your company's files so it can answer questions about your specific business.

Business Impact

Why this matters: Generic AI chatbots give generic answers. RAG ensures your AI uses your actual business information—pricing, policies, product details, customer history—to provide accurate, relevant responses. This means better customer service, fewer errors, and answers that reflect your real business operations.

Build intelligent search that finds the most relevant information from your data
Design AI responses that incorporate your business context and knowledge
Optimize how information is organized for fast, accurate retrieval
Enable the AI to understand questions in multiple ways and find the right answers

LangChainLangGraphRerankersStructured Outputs

Agent Orchestration

We build AI agents that can perform multi-step tasks by connecting to your existing business systems—like your CRM, email, databases, and other tools—to automate complex workflows.

In Plain Terms

An AI agent is like a digital employee that can perform tasks across multiple systems. Instead of just answering questions, agents can take actions: update your CRM, send emails, process documents, schedule meetings, and more. Orchestration means coordinating these actions in the right sequence to complete complex business processes.

Business Impact

Why this matters: Simple chatbots can only talk. AI agents can actually do work—automating repetitive tasks, processing leads, updating records, and handling multi-step workflows. This means real time savings, reduced manual work, and the ability to scale operations without hiring more staff. Your team can focus on high-value work while AI handles routine tasks.

Design workflows that handle complex, multi-step business processes
Connect AI to your existing tools (CRM, email, databases, scheduling systems)
Enable AI to take actions automatically (create records, send notifications, update data)
Add human review checkpoints for important decisions or approvals

LangGraphCrewAITool CallingState Machines

Guardrails & Observability

We build in safety measures and monitoring from the start, ensuring your AI operates securely, stays within budget, and you can see exactly what it's doing and how well it's performing.

In Plain Terms

Guardrails are safety rules that prevent AI from doing harmful things—like making inappropriate responses, accessing unauthorized data, or exceeding spending limits. Observability means you can see everything the AI does: what questions it answered, how accurate it was, what it cost, and where it might need improvement. It's like having a dashboard for your AI operations.

Business Impact

Why this matters: Without guardrails, AI can make costly mistakes, violate compliance rules, or expose sensitive data. Without observability, you're flying blind—you don't know if the AI is working well or wasting money. These systems protect your business, ensure compliance, control costs, and give you the data you need to improve performance and ROI.

Block inappropriate or harmful content automatically
Track every AI interaction with detailed logs and analytics dashboards
Set spending limits and usage controls to prevent budget overruns
Monitor quality and accuracy to catch issues before they impact customers

NeMo GuardrailsLangfuseRAGASMonitoring

Testing & Validation

We thoroughly test your AI system before launch to ensure it meets your business requirements, performs accurately, and can handle real-world usage without breaking or costing too much.

In Plain Terms

Testing means we verify the AI works correctly on real business scenarios before you rely on it. We check accuracy (does it give right answers?), speed (is it fast enough?), cost (is it affordable?), and reliability (does it work under load?). Validation ensures it meets your specific business needs and compliance requirements.

Business Impact

Why this matters: Launching untested AI is like opening a store without checking if the cash register works. Testing prevents costly failures, ensures the AI actually solves your business problem, and gives you confidence it will perform well for customers. It also protects you from compliance issues and unexpected costs. You know exactly what you're getting before it goes live.

Verify the AI meets your specific business requirements and acceptance criteria
Test accuracy, speed, and cost on real business scenarios and data
Ensure the system can handle peak usage without slowing down or crashing
Validate security, privacy, and compliance with regulations (GDPR, HIPAA, etc.)

RAGASPytestLoad TestingCompliance

Production Deployment

We launch your AI system into production with proper infrastructure, monitoring, and documentation so it runs reliably and you can maintain it long-term.

In Plain Terms

Production deployment means making your AI system live and available to real users. This includes setting up servers, security, monitoring tools, and processes for updates. CI/CD (Continuous Integration/Continuous Deployment) means we can safely update the system with automated testing. Rollback means we can quickly revert to a previous version if something goes wrong.

Business Impact

Why this matters: A poorly deployed AI system can crash, be insecure, or be impossible to update. Proper deployment ensures reliability (your AI works when customers need it), security (your data is protected), scalability (it can grow with your business), and maintainability (you can update and improve it easily). This is the difference between a prototype and a production system that delivers real business value.

Deploy on secure, scalable infrastructure that grows with your business
Set up automated deployment processes for safe, fast updates
Provide real-time dashboards showing performance, usage, and costs
Deliver complete documentation so your team can operate and maintain the system

CI/CDMonitoringInfrastructureDocumentation

Productized Bundles

Time‑boxed sprints with clear deliverables, acceptance tests, and fixed pricing.

Lead Intake & Routing Sprint

Turn website, phone, email & SMS into qualified appointments in your CRM.

Duration: 4 weeks • Pricing: $12k–$18k fixed

Unified intake (web/email/SMS) → CRM with dedupe & enrichment
Auto‑qualification & round‑robin routing
Booking links + reminders (TCPA‑aware)
Metrics dashboard (appointments, SLAs, conversion)

Tech tags: LangGraph/LangChain • OpenAI Structured Outputs • pgvector/Pinecone • n8n • Langfuse

Acceptance tests:

≥95% of new leads enriched & routed within 60s
+10% booked appt rate vs 30‑day baseline
Rollback to previous flow in <60s

Build your package Watch demo

Lease & Rent‑Roll OCR Pack

Extract key fields from leases/rent‑rolls and push clean data into AppFolio/Buildium.

Duration: 3 weeks • Pricing: $8k–$15k fixed

OCR → JSON schemas for leases, invoices, rent‑rolls
Validation rules & exceptions queue
Push to AppFolio/Buildium/Yardi
Accuracy dashboard + sampling harness

Tech tags: Textract/Cloud Vision • OpenAI Structured Outputs • Python PDF parsers • Langfuse + RAGAS sampling • NeMo/Llama Guardrails

Acceptance tests:

Field‑level accuracy ≥98% on gold samples
Exception review time <2 min per doc
Zero data loss across retries

Build your package Watch demo

Comp & Outreach Agent

Find comps, generate insights, and run warm outreach to motivated sellers.

Duration: 6 weeks • Pricing: $18k–$30k fixed

Comps pipeline (public + licensed data compliant)
RAG + rerankers for property briefs
Warm outreach agent with guardrails
KPI dashboard + eval suites

Tech tags: LangGraph/CrewAI • vLLM/TGI • pgvector/Weaviate • W&B/RAGAS • NeMo Guardrails

Acceptance tests:

Qualified seller conversations +20% vs baseline
Latency p95 < 2.5s on property briefs
Opt‑out honored instantly (TCPA/Fair Housing compliant)

Build your package Watch demo

Professional Certifications

Validated expertise in production AI systems, cloud platforms, and enterprise-grade deployments.

Google Professional Machine Learning Engineer

Google Cloud

Validates skills in designing, building, and deploying ML models on Google Cloud, including orchestration and monitoring—aligning well with our end-to-end delivery focus.

Production-level AI work

Verify certification

AWS Certified Machine Learning – Specialty

Amazon Web Services

Focuses on ML workloads on AWS, covering data pipelines, vector search (relevant to pgvector/Pinecone), and observability from day one.

Cloud-agnostic expertise

Verify certification

Microsoft Certified: Azure AI Engineer Associate

Microsoft

Emphasizes building AI solutions on Azure, including structured outputs and integration with tools like LangChain.

Enterprise-grade guardrails

Verify certification

Certified Artificial Intelligence Consultant (CAIC™)

USAII

Consultant-specific cert covering end-to-end AI/ML, model deployment, and real-world applications. Tailored for advisory and implementation skills.

Advisory expertise

Verify certification

IBM AI Engineering Professional Certificate

IBM (via Coursera)

Hands-on training in ML, deep learning, and scalable AI systems. Demonstrates proficiency in production AI agents and pipelines with a focus on observability.

Scalable AI systems

Verify certification

Stanford AI Graduate Certificate

Stanford University

Academic depth in AI fundamentals and advanced topics, ideal for a founder-led studio to convey thought leadership and rigorous expertise.

Thought leadership

Verify certification

Meet the team

Principal-led delivery. Vetted specialists for bandwidth and continuity.

Chad Thomas

Founder & Principal Consultant

I design, build, and deploy production AI agents with RAG, guardrails, and observability. Real‑estate automations, OCR→CRM, LLM apps, and n8n/Make orchestration—delivered to production with clear acceptance tests.

LangGraph/LangChain
RAG + pgvector
Langfuse observability
NeMo/Llama Guardrails
vLLM/TGI serving

Available

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