Naftiko Signals looks at 49 industries and 292 companies for signals across 44 signal groups to understand the impact AI has had across enterprises in Q1 2026. We pulled common public signals like job postings, press releases, blog posts, and other formats to understand the areas, services, tooling, and standards that enterprises are investing in as they respond to the many waves that have crashed upon the enterprise shore as part of the artificial intelligence shift.
We started with 15 companies and doubled the count until reaching 250 companies, which has grown to roughly 292. We began doing this to understand what potential customers were investing in, but quickly realized that the data combined with the Naftiko perspective could translate signals into compelling industry and enterprise insights. Gathered each quarter, these signals help keep us grounded in the realities on the ground within mainstream enterprises, while also opening doors to new potential design partners.
Browsing the Data
The data available on the Naftiko Signals website is available to browse, offering a high-level view of what we are seeing across 49 industries and 292 companies. The analysis should grab the attention of API, platform, integration, and engineering leadership within enterprises, but also executive leadership. When we started this work, we intended to keep our findings behind a lead generation wall, but decided to showcase the top industries and companies publicly to provide a taste of the insights available at each level of the Naftiko sales funnel – working to get people interested in becoming design partners.
Professional Services: The Top-Scoring Industry
When it came to the scoring we used to evaluate enterprise investments, the professional services industry rated the highest in investment across the areas that matter when it comes to successfully integrating artificial intelligence into the enterprise.
It wasn’t what we expected when we began sifting through all of the noise associated with artificial intelligence at the beginning of Q1 2026, but we learned a lot evaluating how professional services companies were hiring, and the stories they were telling about why artificial intelligence matters to their operations and their customers.
EY: The Top-Scoring Company
The top-scoring company across all 292 companies we looked at was EY. They have all of the complexity we look for as part of the Naftiko ideal customer profile, but they are also clearly making the investments in data pipelines, cloud, APIs, and other areas that have the greatest impact on the business outcomes that matter to EY and their customers.
Looking through the areas, services, tools, and standards employed across EY job postings, you can learn a lot about what EY has been investing in for some time, but also specifically how they are responding to this particular AI moment – which is different than what you hear in the mainstream buzz.
Accenture: Validating the Pattern
We won’t showcase all of the professional services companies profiled as part of Signals, but it is worth highlighting the runner-up for the top performer – Accenture. EY is definitely more complex, but Accenture validates a lot of what we believe goes into successful AI integrations, echoing EY on what matters when it comes to AI.
It was really interesting to look through the capabilities we were able to derive from the signals gathered across Accenture and EY, and the other professional services companies. This helped us move past just the services and tools, and understand more about how they are being applied in service of business outcomes.
Q1 2026: Wrapped
We have finalized our data for Signals Q1 2026. There are always more ways we can polish the data and refine the insights gathered. But the best way to do this is through validating directly with the companies who are being showcased as part of this work, and through expanding the work across additional companies. We are satisfied with the Q1 results, have learned a lot along the way, and look forward to sharing and talking with companies we have included in this work.
Design Partners
We aren’t shy about the reasons we are investing in Naftiko Signals. We need design partners to help us improve the data and insights, but we also need you to help define how the Naftiko Framework and Naftiko Fleet can be applied to strengthen the investments we have identified across the companies and industries showcased as part of Naftiko Signals.
Naftiko Signals is at the center of our go-to-market function, and we are actively sharing industry and company links to impact reports, radar, navigation, and capabilities that we hope will entice companies to join us in developing the Naftiko Framework to meet their needs when it comes to defining their integrations at scale, and the Naftiko Fleet to help them move in the direction they desire.
What’s Next
We are looking for feedback on Naftiko Signals – at the highest levels, as well as at the industry and company levels. What is missing? What is incorrect? What would make it more applicable in your day? It is a lot of data. We get it. We have been working hard to make it more actionable and usable, but we need your help to understand what would be most helpful for you on the ground within your enterprise.
Now that we have Q1 wrapped up, we have begun pulling data for Q2, but we are also looking to see how we can refine the radar, navigation, and capabilities by role within specific industries and enterprises. We want to find out how we can produce exactly the capabilities you need in your work, and make it so that you can easily fire up the Naftiko Framework using the capabilities that matter to you the most. We encourage you to share what the Naftiko Fleet will need when it comes to helping you define and equip your enterprise fleet with what it will need to succeed in 2026 and beyond.
