Fast forward to growth: How OiKO turns process data into profit potential

Most organizations spend months mapping processes and analyzing data to spot business opportunities. OiKO is changing this narrative by using AI to compress what typically takes months into hours. Through automated analysis of workflows, decision points, and operational data, we quickly pinpoint where businesses can improve efficiency, reduce costs, or boost revenue.

To understand how this approach transforms traditional opportunity assessment, we sat down with Paulo Seixas, CEO of OiKO, who explains their systematic method of identifying, quantifying, and prioritizing business opportunities through AI-powered automation.

Can you start by elaborating on your firm’s approach to identifying and quantifying opportunities through automated processes?

Paulo: What we’ve developed is a structured process that allows us to deeply understand our clients’ business, strategy, and goals. We then dive into their current processes and workflows, analyzing them to identify the key value drivers, decision points, and pain points.

Rather than relying on lengthy discovery sessions that can take months, we’ve integrated various innovation methodologies, like design thinking and design sprints, into a streamlined approach. This allows us to gather the necessary information and insights in as little as one hour.

So, you’re able to achieve in a matter of hours what would typically take several months using traditional methods. How exactly does this faster, more efficient process work?

Paulo: Exactly. We’ve pre-prepared a comprehensive set of questions that allow us to quickly get to the heart of the matter. Instead of a drawn-out process of understanding the client’s strategy, goals, and current state, we can dive right in and have a focused discussion to uncover the key details.

From there, we use a combination of process mapping, data analysis, and collaborative workshops to identify opportunities for improvement. Whereas a traditional design thinking exercise might take three months, we can often complete the ideation and solutioning process in a single day.

That’s impressive. What are some of the typical data sources you analyze to uncover these opportunities?

Paulo: Ideally, we’d have direct access to the client’s process data, which would allow us to map out the workflows, identify KPIs, and generate insights automatically. However, we understand that gaining access to this data can be a lengthy process in itself. So, in many cases, we start by simply asking the client for the necessary information. We work with them to understand their current processes, pain points, and goals. This allows us to quickly get a high-level view and then start ideating solutions.

Once the initial engagement is underway, we can then work with the client to gain access to their data systems and integrate more sophisticated analysis. But the key is our ability to deliver value rapidly, even without full access to their data.

That’s a really interesting approach. Can you share some examples of the types of opportunities you’re typically able to identify and quantify for your clients?

Paulo: Absolutely. One common area we focus on is automating repetitive, high-volume tasks. By analyzing a client’s processes, we can often identify opportunities to streamline workflows, reduce manual effort, and improve efficiency through the strategic use of AI, RPA, and other digital solutions.

We also frequently uncover opportunities to enhance decision-making by providing better data visibility and analytics. Clients are often surprised by the wealth of insights we can derive from their existing data, which can then drive more informed, data-driven decisions.

And of course, we’re always on the lookout for ways to improve the customer experience. Whether it’s optimizing a sales funnel, enhancing a service delivery process, or automating customer support, our approach allows us to rapidly ideate and validate solutions that deliver tangible business impact.

So, in summary, your firm’s unique approach allows you to identify and quantify opportunities for your clients in a fraction of the time it would typically take. What would you say are the key benefits that this brings to your clients?

Paulo: I’d say the biggest benefits are speed, efficiency, and tangible results. Rather than getting bogged down in lengthy discovery phases, we’re able to deliver valuable insights and actionable solutions much more quickly. And by integrating our innovative methodologies, we can rapidly ideate, prototype, and validate those solutions in close collaboration with our clients.

Ultimately, this allows us to drive faster time-to-value and help our clients realize the benefits of process improvements and digital transformation initiatives in a matter of weeks or months, rather than years. It’s a true competitive advantage that we’re proud to offer.

We imagine you identify a number of opportunities based on the process and data analysis. How do you prioritize which ones are most important? What are the key factors you consider in your prioritization?

Paulo: You’re absolutely right, we uncover a wide range of potential opportunities through our analysis. The first step is to capture all of those ideas and solutions, without any initial filtering or prioritization.

We then work closely with the client to evaluate each opportunity in terms of its potential business impact. What kind of results could it generate – increased revenue, reduced costs, improved competitiveness, or mitigated risks? We dig into the data to quantify those potential outcomes as precisely as possible.

At the same time, we also assess the organization’s readiness to implement each solution. Do they have the necessary data, technology, processes, and cultural alignment to successfully execute? We’ll score each opportunity on a readiness scale of 1-5.

By plotting the potential ROI against the organizational readiness, we are able to create a clear prioritization matrix. This allows us to quickly identify the “quick wins” – the high-impact, low-effort opportunities that the client can tackle first. It also highlights the longer-term, transformative projects that may require more upfront investment, but could deliver outsized business benefits.

Does this prioritization approach work the same way for both smaller organizations and large enterprises?

Paulo: Absolutely, our methodology is scalable and applicable regardless of the size of the client. Whether it’s a small business or a large multinational, they all have their own unique strategies, goals, and pain points that we need to address.

The core principles remain the same – identify all possible opportunities, quantify the potential impacts, assess organizational readiness, and then prioritize accordingly. The specific details and data points may differ, but the overall framework allows us to deliver value just as effectively for a large enterprise as it does for a small- or medium-sized company.

In fact, this systematic approach is particularly helpful for bigger organizations that may have complex, siloed operations. By taking an impartial, data-driven view across the entire business, we’re often able to uncover opportunities that the client may have overlooked internally.

What kinds of deliverables does this whole process generate, and how are these insights typically presented and acted upon by your clients?

Paulo: The specific deliverables can vary quite a bit depending on the client’s goals and the nature of the opportunities we identify. But in general, we are focused on quantifying the business impact and providing a clear roadmap for implementation.

For example, we may recommend initiatives to increase revenue through cross-selling, upselling, or improved customer experience. In those cases, we’d model out the potential revenue uplift, along with the required investments and timelines. Or for cost reduction opportunities, we’d detail the savings projections, implementation costs, and expected payback period.

We also put a strong emphasis on organizational readiness and change management. So, our deliverables would include detailed plans for building the necessary capabilities, whether that’s new data infrastructure, updated processes, or cultural shifts within the workforce.

Ultimately, we want to arm our clients with a clear, actionable plan that they can immediately start executing against. The insights and recommendations are presented in a comprehensive but digestible format, so that decision-makers have everything they need to prioritize initiatives and drive real business impact.

That’s great. Is there anything else you’d like to add about the overall value this approach brings to your clients?

Paulo: I think the key thing that sets our approach apart is the speed and efficiency with which we’re able to deliver tangible results. By automating a lot of the discovery and ideation work, we can move from initial engagement to implemented solutions in a matter of weeks or months, rather than the years that a traditional transformation project might take.

This allows our clients to realize the benefits of process improvements and digital initiatives much faster. They’re not bogged down in lengthy analysis paralysis – we work quickly to validate opportunities, build the business case, and then help them take action.

Ultimately, it’s about driving competitive advantage through continuous innovation. Our clients appreciate that they have a trusted partner who can rapidly identify and prioritize the best opportunities to grow their business, reduce costs, and stay ahead of the curve. It’s a true differentiator in a crowded consulting landscape.

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Fast forward to growth: How OiKO turns process data into profit potential

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