Tag: how to use ai

  • AI Giants Challenge Consulting Firms: New In-House Approach Raises Costs

    The Consulting Industry Got Disrupted Overnight, and Most Companies Missed the Real Story

    The consulting industry has been turned upside down. OpenAI launched a ten billion dollar operation that does what McKinsey charges millions to do, and moments after, Anthropic moved the same way. Same day, within minutes of each other. If you work in consulting, you need to understand what happened.

    Two Years of Middlemen Money

    For the last two years, consulting firms made a boatload of money telling companies how to implement and use AI. They charged Fortune 500 CEOs millions to teach employees how to write reports, how to run specific workflows, and how to fold tools like chatGPT into daily operations. There is one issue with that. These consultants did not build the AI. They are the middlemen. They read the documentation, learned the tools, and repackaged it with an hourly rate.

    OpenAI and Anthropic said out loud that the middlemen are no longer needed. Last week OpenAI announced a deployment company, a billion dollars backed by top private equity firms like TPG, with the entire purpose of sending OpenAI engineers into companies to help them implement AI.[1] Within minutes, Anthropic made the same announcement, raising 1.5 billion from Goldman Sachs to do the same thing.[2] Let us send our engineers into your companies and help you build things.

    Why This Matters

    This matters because seventy nine percent of companies are struggling to adopt AI, and half of all AI projects are stuck in pilot mode.[3] The bottleneck was never the technology. It was the implementation. The consulting industry has been the gatekeeper between technology and adoption for decades, and that gate has now been kicked open.

    Here is where I have to be straight with you. This is not a solution. This is going to exacerbate the problem these companies already have.

    The Real Problem Is the Promise

    The huge problem OpenAI and Anthropic face is the deliverance of the promise. The return on the investment. With the way Anthropic keeps cutting people off on the computations their software allows, every other half hour the work stops itself. Then look at OpenAI, who has made huge prognosis and future insights, now moving in a hurry to find ways to give people the return they were promised. Remember when Altman told investors in a meeting that the answer has to be found in chatGPT, and everybody laughed? I do not hear them laughing anymore.

    This is a strategy. Cut out the middleman. One of the biggest costs corporations carry is working with consultancy firms. A number of those firms, big, small, and medium, built their entire business around folding AI resources into their consultancy work, telling clients we make you AI ready. Now OpenAI and Anthropic want to provide the software directly to corporate sectors and say you do it yourself. You do not need them in the room.

    What it is, is another way of breaking up subscriptions, getting corporations to buy the product, and delivering on the revenue that was promised. Understand the intention. When there is an investment somewhere, the return has to come back. Put two and two together.

    The Trap of Bringing It In-House

    Here is how the problem gets worse. Companies that think they are cutting a huge amount of cost by hiring people, educating them, and folding in what is needed to be AI ready are taking a huge problem in-house. OpenAI and Anthropic say put it in-house, let the reports and the consultation happen there. Before any of that, you still need education. You still need the proper human capital to do the monitoring, the implementation, and the deployment of whatever comes out.

    In Dutch they say “houtje touwtje werk”. You are tying things together with little pieces of string and calling it art. Ta-da, this is the solution. It is going to backfire so hugely, because even corporations that say we are AI first, AI led, and are kicking out a huge portion of human capital have not taken the time to understand what leveraging means. The new Red Bull that gives everybody wings.

    When you take that on, you take in the understanding, the education, the infrastructure, and the problems that come with running your activities on compute power…without consisten human feed that drive the data that AI needs. Tokens versus people. You are not getting an all-inclusive package where you do whatever you want. Computing power is expensive because everyone has a huge demand for it, and that demand drives prices up. It puts enormous pressure on margins, and companies will watch their profits get eaten away by the costs they take on.

    The Buffer You Threw Away

    If you do not have the knowledge of what you are getting into, you are exacerbating your own problem. You think you are cutting the middleman out, not understanding that the middleman was a buffer for costs you will now incur double, triple by doing it tokens. This lack of insight is a short win for OpenAI, Anthropic, and the corporate structures, and a huge cost in the long run.

    Leave with this, built from the expertise I have collected over the last years. Potential is not always a great promise to make.

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    Footnotes:

    [1] OpenAI deployment initiative and TPG-backed funding, company announcements, 2025.

    [2] Anthropic enterprise deployment program and Goldman Sachs funding round, company announcements, 2025.

    [3] AI adoption and pilot-stage stall figures, industry enterprise AI surveys, 2025.

  • Building a Self-Sustaining Business: From Fragmented Tasks to Seamless Systems

    Building a Self-Sustaining Business: From Fragmented Tasks to Seamless Systems

    Stop Jumping From Stone to Stone: Build the Bridge to a Business System That Runs Itself

    You are scattered. Your whole mind is going each and every single way. This is for all the founders who keep saying, well, I want a system that runs automatically, but I do not know where to start. How do I do this, and this, and that, and the third thing on the list. Before you even begin, let us talk about what is happening underneath all of that noise.

    The Shift That Changed How I Run My Companies

    One of the things I improved for myself was the way I offer the learning system for an online platform I build that teached the Surinamese language, one of the companies I own. What I wanted was a flow that moves from curiosity, to lead magnet, to onboarding, to taking the lesson, to offboarding, and then into soft nurturing, even when someone is not buying the next product.

    That is the whole system. If I have to interject myself somewhere because the system is not working well, or I have to look elsewhere to find an answer or keep an activity running, something is wrong. That means I still need to exert control over it, and control over every small piece is the opposite of freedom.

    Now, not everything is going to be hands off when it comes to questions. If I have to answer them, I will answer them. But either the response is automated, or there is a frequently asked questions section on the website, which is now in place. An overload of information makes people apprehensive about stepping into something that feels cumbersome. When there is too much to read, the person has to figure it all out alone, and that tells me your mind is scattered too.

    Running Around Is Not a System

    Then you have the people who say, here is my customer service, here is my mail, here is my website, here is my product, and here is my service. So you run from one place to the next, to the next, to the next. That is not a system.

    A system is when everything is linked. One step follows the other. You are monitoring that it is going well, and you step in only where people genuinely have questions, or where you want to change something about the product, the service, or the automatic emailing that warms up new leads and keeps your soft nurture flow alive. Soft nurturing is the term I use for people who are no longer using a product or service but who stay on your mailing list. You never throw those people away. Never. The great part about this is that everyone is part of your system. No ones falls in between the cracks.

    How the Connections Actually Link Together

    Picture the store. The moment people come in, there is a lead magnet, a freebie. When they take the freebie, you get their email. With that email, you warm them up softly. Another connect. When they want your product or service, they buy. You still have the email, so you place them in a specific group with copy written for that exact product. Another connect. And so it continues.

    You set this up so you are not doing everything by hand. You are not the micromanager. You allow the workflow automation to do what it was built to do. It sounds strange, but you should be surprised when money lands in your account. Oh, when did that person sign up? I did not even notice. That is what it needs to look like.

    The River, the Stones, and the Bridge

    I am the mockingbird, buzzing softly into the lives of others. I hear people speak and I recognize exactly what is happening. Most of you are trying to reach the dry side of a river by stepping on slippery stones. The water rushes by, you fight not to get wet, and sometimes you slip back and have to find your footing again. That is you.

    Then there are people who built a bridge across the same river and walk over it smoothly. That is me. You have to build the bridge. This goes especially for those in the creative and artistic sector. For artists, content creators, influencers, and the teams running art galleries, the idea of business, art, and money sitting together feels foreign. The idea of using a social media management tool, a creative agency workflow, or resources like Claude Cowork and ChatGPT feels foreign too. Yet it is the thing most of you want to understand. Nobody is telling you that it is now time to think this way. So I am.

    Everything Is an Opportunity

    Say you give a workshop and someone asks if they can watch it again. Yes, because you already built an automated emailing flow. The first email says, you attended this workshop, want to watch it again, here it is. From there you nurture them toward where you want them to be. That same recording becomes a course. It becomes a training session. That is content creation working for you while you focus on what you do best.

    This is liberating, not exhausting. It feels like exhaustion only because you have never entered this field before, so your brain is doing a lot at once. It feels like a 404 page, an error. But once you cross over, social media management, social media creation, and outsourcing social media stop draining you and start producing.

    We are in a time where a few people hold access to a lot of resources, including automation, payment gateways, and social media management tools, while a disproportionate group on the margin says, I want that too, but I do not know where to begin. In between sits every possibility. Get into the middle of it and catch what you can catch. But you can do that only with systems. If you keep jumping from one place to the other, you run low on fuel, and it will not work for you.

    Build the bridge, people. Build the bridge.

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    Footnotes

    1. Sonomis language learning system, internal company case study referenced by the author.
    2. Lead magnet and soft nurture sequencing principles drawn from standard email marketing lifecycle practice.

  • Enhancing AI Output with Personal Data for Authentic Content

    Enhancing AI Output with Personal Data for Authentic Content

    Why AI Agents Only Work When They Carry Your Voice

    The usage of AI agents is something that has grown popular, but according to my own experience, the only way it works is when you have data. You need some sort of databank that holds your content, the way you speak, the way your words flow. This comes through audio, through the blogs you have written, through things you have spoken out loud into your phone, or whatever the source might be. That is the path where AI agents serve a purpose in redistributing your voice. If you are not doing that, then anything you produce comes from a general perspective.

    A general perspective is the safest route. You let the AI agent talk about a topic, you tell it which specificities need to be present, and the output lands as acceptable. The result is dry matter. Even in this age of AI, an authentic voice still counts.

    GEO, LLMs, and the Shift in How People Find You

    GEO, generative engine optimization, is the thing right now. Content has to be accurate and systematically positioned so search engines pick it up. The same applies to LLMs, because LLMs are becoming search engines.[^1] You knew that, right. Tools such as chatGPT now sit in the same space where people once typed into a search bar.

    Eventually a person reads it. There is a follower, a subscriber, a client, a future customer, a lead, someone who reads what they find about you. For the systems, optimized content works. For people, it works a little different. This does not mean you solely hold a combination of generated content and high optimization. It means the authenticity of your platform and the service or product you offer still needs to live inside the writing.

    Content Is Broader Than a Caption

    That is why I keep saying you need a database of content you have already created. Content is a broad word. Do not get stuck thinking about the caption behind the reels, the shorts, and the TikToks. That is one portion of it. Think about the copy you create. Think about the newsletter you create. Think about the blogs you produce. All of it contributes to the data you hold, and when you use AI agents for social media creation, that data is what gets reproduced.

    For those running an AI agent as part of customer service, answering questions, that is the simple application. When you want the agent to become the voice of what you stand for, you have to stay aware that you are feeding it data that will either repel or attract the person it is meant for. You make that decision. That takes time, and time is the resource most people do not invest into collecting their own material.

    The Real Reason AI Agents Fail Businesses

    For many businesses, agentic software has turned into a red flag, sometimes into a disaster. The one element they did not account for is data. The question is not how many people sit in the CRM system, or how AI agents will help build better products and services. The question is what made that customer decide to side with you. What makes a person open the newsletter and respond by buying something or booking a call. That reason is the data that can be your creative, logi, intellectual or entertaining input. That is your content. It is the copy that handles all of it.

    A lot of you are not investing enough into understanding what that content is. How it sounds. How it looks. What you are saying. This matters most for creatives, for artists, for content creators who post a picture of the finished work as the end result. There is the in between. There is the process. There are the experiences. There are the technicalities and everything else you talk about. All of that becomes data fed into an AI agent, and the agent starts to understand how you think, how you see, how you build. From there it reproduces something aligned with you.

    Giving Direction, Not Surrendering Control

    You set the instructions when it come to the use of AI resources. Ai resources need a consistent and continues human input. It will fail eventually when it only feeds from its own data. It becomes a Xerox machine.

    You tell it to hold ninety-five percent of the voice you already have, or to hold half. You tell it that a specific topic gets spoken about in a specific way. Now there is direction. Now the work holds a purpose and a goal. Without that, the output stays dry matter. I am not impressed by people using AI agents, because kids do it now too, often better. The differentiator is the authenticity that belongs to you, the data you acquired, your experience, the way you think.

    This is not a reason for fear. People worry that others will copy it. How. It is yours. The data sits on your hard drive, in the cloud, or in your head. You hold full control. There is no obligation to share it or grant access. You turn it into a content stream behind a paywall or a membership. From there you distribute pieces that state what you stand for and pull people in with enough curiosity to want more.

    When It Becomes Transformational

    AI agents work when the data you collected and stored in your infrastructure holds substance, direction, and a measure of creative leadership and authority that serves someone else. This is where a social media management tool stops being a fancy gadget and becomes part of real workflow automation. Whether you sit inside a creative agency, run art galleries, build an audience as influencers and founders, or you are weighing outsourcing social media, the principle holds. Platforms built for this purpose, such as Claude Cowork, give weight to social media management when the underlying data carries your fingerprint.

    This is the point where the way you distribute your energy, your time, and your space becomes transformational. Without the data, you hold a fancy gadget. With it, you hold a voice that scales.

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    Footnotes

    [^1]: Reference to the growing function of large language models as discovery and search interfaces, replacing portions of traditional search engine behavior.
    [^2]: GEO, generative engine optimization, refers to structuring content so generative AI systems retrieve and surface it accurately.

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