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Southern California

Looking for an AI consultant?
Here's what you should know first.

The AI consulting space has exploded. Every IT generalist, freelancer, and offshore agency is now calling themselves an AI consultant. Some of them are excellent. Many of them learned the field six months ago.

We think the skepticism is warranted — and we think it points toward a better question than "which AI consultant should I hire?" The better question is: what do I actually need built, and by whom?

Integral Business Intelligence is an AI systems integrator based in Los Angeles. We do the full scope — strategy, architecture, build, deployment, and ongoing support. The consulting is where we start, not where we stop. We serve businesses across Southern California that need AI integrated into their operations without compromising their data.

The Reality

The category is real. The quality varies wildly.

There are genuinely skilled AI practitioners operating as consultants — people with deep expertise in model behavior, infrastructure, and integration who can make a real difference for your business. They are worth every dollar.

There are also people who attended a few bootcamps, built a ChatGPT wrapper, and are now charging consulting rates. The problem is that from the outside, they look the same.

The field is new enough that certifications don't mean much. LinkedIn profiles look similar. Proposals use the same vocabulary. The only reliable signal is demonstrated depth — which means asking harder questions before you hire.

What to ask

Can you show me something you built?

Practitioners have a portfolio. Advisors have slides.

What inference framework do you use, and why?

There are real tradeoffs between vLLM, Ollama, TGI, and others. Someone with depth has opinions.

How do you evaluate whether a RAG system is working?

Evaluation methodology is where serious practitioners separate from novices.

Who owns the code and the infrastructure when the project ends?

You should. Some vendors structure engagements to create dependency.

What happens to my data during the engagement?

If they can't answer this clearly, that's your answer.

What We Offer

Most AI consultants hand you a roadmap and walk out the door.

We write the code, rack the hardware, train your team, and stick around. Here's what that looks like in practice.

Common Questions

AI consulting questions, answered plainly.

What does an AI consultant actually do?

A legitimate AI consultant assesses your business, identifies where AI can create meaningful value, recommends the right tools and approaches, and helps you execute. That last part — execution — is where the field splits. Some consultants hand you a document and move on. Others, like us, stay involved through build, deployment, and support. The deliverable isn't a roadmap. It's a working system.

How do I know if an AI consultant actually knows what they're talking about?

Ask them to show you something they built. Ask what inference framework they use, how they handle retrieval quality, what their evaluation methodology looks like. A serious practitioner has strong opinions and can explain the tradeoffs behind each one. Someone who learned AI last year from YouTube courses will give you vague answers and a lot of buzzwords. The field is new enough that credentials are thin — what matters is demonstrated depth.

Do I need to move my data to the cloud to use AI?

No. Private inference — running AI models on hardware you control — is fully mature and production-ready today. We deploy on-premises servers, private clouds, and local appliances that keep your data completely off third-party infrastructure. For businesses handling sensitive client, patient, or financial data, this isn't just a preference. It's often a compliance requirement.

What does AI consulting cost?

It depends on scope. A focused strategy engagement — current-state assessment, opportunity mapping, ROI estimates, and a prioritized roadmap — runs in the range of a few thousand dollars. Build-and-deploy projects vary widely based on the complexity of the integration, the infrastructure involved, and the number of users. We publish guidance on our <a href="/pricing" class="text-accent-fg font-medium hover:brightness-110 transition-colors">pricing page</a> and are transparent about ranges in a first conversation.

How long does an AI integration project take?

A scoped, well-defined project — say, a private RAG knowledge base for a 20-person team — can be fully deployed in four to eight weeks from a signed agreement. More complex work involving custom agents, hardware procurement, or deep integration with existing business systems takes longer. We build detailed project plans before work begins so you know what to expect.

What's the difference between an AI consultant and an AI systems integrator?

A consultant advises. An integrator builds. In practice, good integration work requires both — you have to understand the business deeply enough to make the right architectural choices, and then you have to execute them. We do both. The term "systems integrator" reflects that our deliverable is a complete, working system — hardware, software, and everything in between — not a slide deck.

Should I use a big consulting firm or a specialized AI firm?

Large general consulting firms bring process and client management experience. They are often less strong on technical depth in AI specifically, and their incentive structures tend toward large, long-running engagements. A specialized firm — particularly one that builds rather than just advises — will move faster, cost less, and deliver something you can actually use. For SMBs that need results rather than governance frameworks, the choice is usually clear.

Get Started

Conversation is free.

No pitch deck. No pressure. A real conversation about your business, your data, and whether AI can meaningfully move the needle for you right now. We're based in Los Angeles and serve businesses throughout Southern California.

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