AI Consulting Services

At Marlabs, we’re not just dreaming of creating AI like you see in sci-fi films, because we know what it actually takes to make transformative AI initiatives succeed. Whether your goal is to reduce task completion times, improve compliance, accelerate customer interactions, or optimize analytics, we deliver clear and measurable results aligned with your strategic objectives.

How we can help you in your AI journey

Our well-rounded experts can help you take the first steps of considering how to incorporate AI in your organization and tackle your AI initiatives. Not only that, but we’re also the innovators who can keep you ahead of the curve by establishing an AI Center of Excellence and developing digital workforce augmentation.  

Our AI Perspectives

AI Is Transformative but Misrepresented

AI Is Transformative​

AI is dramatically transforming businesses by doing real work — automating tasks, enabling natural human interactions, and offering supercharged automation. This trifecta lets businesses operate smarter by freeing up human potential and optimizing processes, leading to:
  • Enhanced efficiency and automation​
  • Personalized customer experiences​
  • Innovation and product development
  • Improved operational efficiency​

AI Is Misrepresented​

It’s important to acknowledge the hype surrounding AI’s capabilities. Implementing AI requires significant investment in training data and specialist personnel. Additionally, AI systems can pose serious risks, as biases in training data can lead to discriminatory outcomes and misleading outputs.​ AI implementations require giving consideration to:
  • Intensive training and resources​
  • Ethical and security concerns
  • Capabilities “not-as-advertised”
  • Over-reliance and misuse

AI Is More than Just Technology

AI Is Not Just Technology

As organizations first start exploring AI, they tend to see it as a technology solution. This is partly to do with how AI is most commonly being sold and pitched to the market. This means they often start by asking, “Which AI is right for me?”

​However, AI is a rapidly evolving field of study and innovation. Not only will today’s best solutions likely be outdated in a short time, but how we use AI is growing as we understand best practices. ​

Finally, integrating AI into your business requires changes in processes, approach, and user behavior. AI is a tool, and just like any tool, it requires education and experience to use it well.

AI Is a New Business Function​

To truly unlock its potential, AI needs to be seen as an ongoing business function, similar to HR, IT, or accounting. Just like employees require continuous training, AI models benefit from constant learning through new data, performance monitoring, and algorithm refinement.  ​

Furthermore, integrating AI effectively requires a dedicated team with expertise in data science, model development, and change management.

​AI needs a human oversight and clear governance structure. If you view AI as a business function, you’ll be equipped to leverage the best AI as it continues to grow and evolve.

AI Doesn’t Work Alone

AI Runs on Data

Your AI solutions can only ever be as safe, accurate, and organizationally contextualized as the data you feed it. When you hear horror stories of AI-gone-wrong, the most likely culprit isn’t the build of the AI itself but the data it was trained on. With Marlabs’ extensive background in data strategy, management, and engineering, our team can make sure you’re ready for the journey.  

That’s also why we partner with data powerhouse Databricks, which allows organizations to unify their data and AI landscape and builds governance into every level. Not only that, but our expert team uses our experience to help you prepare your data layer up to 35% faster and accelerate your journey to becoming an AI-powered organization.

AI Requires Automation

AI solutions also need an automation layer. Otherwise, humans would only move from manually completing tasks themselves to manually guiding the AI through every step of the task. By developing a solid automation foundation, we ensure AI not only reduces human error but also frees up human resources for more innovative work.  

At the same time, AI enables intelligent automation to go far beyond what traditional robotic process automation (RPA) had previously made possible. AI-powered intelligent automation offers an approach that allows for increased governance, continuous process improvement, and automation of even complex and unstructured tasks.

Vision for intelligent enterprises

Being at the leading edge of data, automation, and AI innovations over the last two decades has given us a special insight into what’s shaping the future of intelligent enterprises: digital workforce augmentation through agentic AI. Beyond AI for the sake of AI, digital workforce augmentation has the power to transform enterprises with both internal and external agents.

Marlabs envisions a future for enterprises where AI agents and humans collaborate seamlessly with each amplifying the other’s strengths. To make that happen, we’ve developed our AI Evolution Framework to effectively and responsibly take organizations from initial strategy and building a solid data foundation all the way through creating an AI Center of Excellence and implementing multi-agent collaboration and workflows.
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Most Common AI Challenges

The top AI implementation challenges we’ve seen our clients face over the last two decades are:
  • Data quality and availability: You need clean, relevant data that you can trust and access whenever needed. Without this foundation, AI can’t succeed.
  • Cost and resources: It’s expensive to develop, deploy, and maintain AI systems and infrastructure. Marlabs created PromptRouter to reduce costs and infrastructure overhead.
  • Lack of integration of automation and AI into current systems and workflows: To seamlessly integrate AI without disruption, companies need to address, integrate, and align their infrastructure, technology, people, and processes.
  • User adoption and trust: Organizations struggle to create cross-functional buy-in and collaboration up-front and then demonstrate results, educate, and provide continuous training to boost AI adoption and trust.
We help our clients overcome these challenges by adhering to custom, actionable roadmaps based on a solid data and AI strategy.
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Who Are Our AI Partners?

Microsoft Data Fabric

Microsoft Fabric with Co-Pilot AI is an end-to-end analytics and data platform that unifies your data and AI initiatives. Through platforms like Azure AI Foundry and Copilot Studio, we leverage Microsoft’s advanced AI capabilities to create sophisticated multi-agent workflows that enhance productivity.

Databricks

Our partnership with Databricks allows us to unify data engineering, ML development, and real-time analytics on a single platform. This allows it to power a data intelligence engine that understands the unique semantics of your data with accelerated AI solution development and continuous model refinement.

Salesforce

By integrating AI agents with Salesforce, including through Salesforce’s Einstein and Agentforce, we enhance CRM capabilities, transform customer interactions, and drive business growth. We offer features like lead conversion prediction, chatbots for customer service, and personalized product recommendations.

Google AI

Google Cloud’s AI platform simplifies AI agent building and the end-to-end machine learning workflow. Google AI allows developers to build, train, and deploy models and agents more efficiently and with a maximum of control and governance.

AWS

Our collaboration with AWS enables cloud-native AI deployments to ensure scalability and flexibility for your digital workforce. AWS provides a wide range of AI services, including machine learning, natural language processing, and computer vision, which can be easily integrated into applications.

Snowflake

By harnessing the Snowflake AI Data Cloud, we enable real-time data access and sharing across business units and partners. Our AI agents can tap into governed, high-quality data directly within Snowflake to deliver personalized insights and automate complex decisions.

Experience cost-efficient AI scaling

One of the largest hurdles to deploying AI is the infrastructure cost. To help our clients overcome this challenge, we have built our own proprietary solution to manage cost and greatly reduce overhead for running GenAI LLM solutions.

Not all AI requests are complicated or require the most advance models to provide a good answer. So why route all requests to the most expensive model? PromptRouter automatically analyzes the request complexity and effectively answers questions while saving you money. It also provides a security framework to help make sure the AI is used responsibly within the corporate guidelines. This solution greatly reduces the cost of running GenAI LLMs while also improving efficiency.
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