You Do Not Need an AI Middleman

Why most businesses are better served buying directly from the companies that build AI instead of paying an aggregator platform to sit in between.

If you run a business right now, someone is trying to sell you an AI platform. Probably several someones. The pitches sound similar: one dashboard, access to every model, governance built in, all managed for you.

These products are usually called aggregator platforms. In plain English, a middleman. The company buys access to the major AI models, wraps its own dashboard around them, and resells the bundle to you.

Before you sign, here is a story worth two minutes of your time.

Remember the small wireless internet companies that beamed service into neighborhoods the big carriers had not reached? It was a smart business, for a while. Then Verizon and the other giants laid fiber straight to the curb, and most of those companies faded away. They were not bad companies. The giants simply absorbed the job they were doing.

The same pattern is playing out in AI right now, just faster.

A few years ago, the major AI models had no business controls. No admin console. No way to manage who used what or to protect company information. Aggregator platforms stepped in to fill that gap, sitting between your team and the AI and charging for the layer in between. At the time, that was a reasonable buy.

Not anymore. The frontier providers, the companies actually building the models, now ship those controls in their business products. Workspace management, admin controls, and data protections come standard in ChatGPT Business, and Anthropic and Google publish the same commitment for their business offerings: your data is not used to train their models by default. The aggregator is charging you to solve a problem the model builders have largely solved already.

Ask the uncomfortable question

Before you put your company's data, prompts, and accumulated work inside any platform, ask one question: will this company exist in three years?

Nothing cynical about it. You would ask the same of any vendor holding something you cannot afford to lose. And that is exactly what you are building inside an AI tool. Your team's best prompts, shared projects, and ways of working are turning into a real operating asset.

When a middleman's main value has already been absorbed by the companies beneath it, history says that middleman is on borrowed time. Your company's AI capability should live somewhere built to last.

Three more reasons to go direct

You get updates first. When a frontier provider ships an improvement, direct customers get it first. Aggregator customers wait while the middle layer integrates, tests, and rolls it out. In a market where capabilities change monthly, that delay means your competitors may be working with tools you do not have yet.

You do not need every model. Aggregators sell access to many models at once, and it sounds like flexibility. But for everyday business work, the leading models do the same things and constantly leapfrog each other. Most businesses are not constrained by which model they use. They are constrained by how well their team uses it. Switching models will not fix that. Strategy will.

The math is simpler. ChatGPT Business, for example, costs $20 per user per month on an annual plan, or $25 if you pay monthly. Either way, a known number you can budget against. Aggregators typically charge on top of underlying model costs, through seat fees, usage fees, or both. For a 25-person company, that difference can compound quickly.

One more point, and this is our belief, not a statistic. The AI conversation has shifted from how much your team can use to how efficiently they use it. We believe that efficiency is far easier to track when nothing sits between your usage and your bill. Every layer in the middle makes the picture blurrier.

To be fair, a platform layer can earn its keep in a heavily regulated business that needs one policy across several AI providers. Most businesses are not in that situation. The constraint is not the platform. It is strategy, training, and changing how the work gets done.

A frontier model with a real strategy behind it beats a premium platform with no strategy behind it.

Keep your IT provider. Add the missing piece.

Many of the businesses we work with have an IT provider they have trusted for years. That trust is earned, and it is worth protecting. Keeping your technology secure and running is real work, and a good provider does it well.

But AI strategy is a different discipline. Deciding where AI belongs in your business, training your team to use it with confidence and judgment, and turning scattered individual use into a company capability is an operating decision, and it sits with you.

If your IT provider is offering an AI platform as an add-on, ask a simple question: does this help my people work better, or does it just give them another login? A strong IT provider and a strong AI advisory partner work well side by side. They are just not doing the same job.

A fair question: is RightSeat a middleman?

Worth asking. We are an OpenAI SMB Channel Partner, and yes, we benefit when a client chooses ChatGPT Business. Weigh our advice knowing that. We also work across all the frontier models, so the recommendation that matters most here is not which model you pick. It is going direct.

Your team uses ChatGPT Business directly. Your data lives in your own workspace, under OpenAI's business protections. Your bill is OpenAI's published price, the same with us or without us. Nothing we build sits between your people and the AI.

We are advisors, not a platform. Our work is the part no software can sell you: deciding where AI belongs in your business, training your team to use it well, and turning access into a capability your company actually owns. If RightSeat disappeared tomorrow, your tools, your data, and everything your team has built would keep working exactly as they did the day before.

Ask any platform vendor that same question, and listen closely to the answer. That is the difference between a partner and a middleman.

Access is not the finish line

We think about AI progress in three stages. Adoption means the tool is available. Fluency means your team uses it with confidence and judgment. Adaptation means your business changes how work gets done so AI creates measurable value safely.

A platform can sell you Adoption. Fluency and Adaptation are not products. They are work, and that work involves your people, your workflows, and your judgment. It is also where the real return lives.

Most companies can buy access. Fewer turn it into better daily work. That gap is exactly where we spend our time.

As your human co-pilots for the AI journey, our recommendations start with your business, your team, and your readiness, not with a product. If you are paying a middleman and wondering why, schedule a conversation. Thirty minutes, no pitch, and you will leave knowing whether your current setup is working for you.

Sources

OpenAI, ChatGPT Pricing

OpenAI Help Center, What is ChatGPT Business?

OpenAI, Business data privacy, security, and compliance

Anthropic Privacy Center, Is my data used for model training?

Google Workspace, Generative AI Privacy Hub

rightseat.ai | Human co-pilots for your AI journey.