AltitudeIQ and the Coming Disruption of AI-powered Enterprise Automation

In late August, TBR met with AltitudeIQ Founder and CEO Acyr da Luz and AltitudeIQ Board Advisor Michael Yadgar to discuss the startup’s proprietary technology, its role within the technology ecosystem, and its potential to disrupt the broader IT services, consulting and AI space. The following reflects that discussion as well as TBR’s ongoing research and analysis of SAP, IT services companies, consultancies and AI. 
 
Reducing the human effort needed to complete repetitive and low-thinking tasks ranks prominently among AI’s promises in the enterprise space. If a well-trained robot can do it, AI will do it, freeing humans for higher-value work. The reality to date, however, is that bots remain more expensive than people, and the costs of running AI continuously can be ruinous. When that begins to change, TBR expects startups like AltitudeIQ to be at the technological forefront, with business-model disruption right behind them.
 
While TBR does not rank speeds and feeds and does not measure latency or token usage, the business impacts AltitudeIQ has demonstrated with clients imply considerable changes coming for IT services companies and consultancies helping their clients adopt emerging and, maybe more significantly, mature but complex technologies, such as SAP’s S/4 HANA. In short, AltitudeIQ could help enterprises realize AI’s productivity promise while significantly upending IT services as we know it.

What AltitudeIQ is and is not

Founded less than a year ago, AltitudeIQ offers an agentic AI software solution to an age-old business problem: how can a company design, build, test and deploy enterprise applications faster? If every phase — from business process and efficiency through data migration to training and enablement — could be reduced from multiple months to weeks, even days, by deploying AI-enabled agents, enterprises could spend less time and money on consulting and IT services, keep their top IT talent engaged on niche and challenging problems, and derive more value from their ERP systems, such as SAP.
 
By tackling every phase with a combination of prebuilt skilled agents, expert-directed agents and human-led decision making, AltitudeIQ has begun proving to clients that a 30% reduction in time and expenses is possible, even in a large-scale enterprise with complex IT environments and reporting requirements, according to Luz and Yadgar. TBR notes that one key characteristic that may separate AltitudeIQ from other startups in the agentic AI space is the founder’s 20-plus years of experience as a consultant. He and the team have designed a technology to solve a business problem, rather than designing a technology solution and then looking for a business application.
 
Further, Luz and Yadgar repeatedly assured TBR that AltitudeIQ will remain a software company content to partner with services companies. As Luz commented, “Some clients are asking us to take services, and we’re inviting consulting firms to partner with us … one client asked for help with the business case and implementation, and we said, ‘OK, good, but I’m going to bring another partner.’ … I don’t want to be doing the service work there … we don’t want to go down that path … That’s strategic for us to stay on software.” In TBR’s view, this combination of a business-problem mindset and a focus on just software makes AltitudeIQ an ideal partner for IT services companies and consultancies — at least for now.
 
Speed cannot be all that an AI-enabled solution delivers, particularly for enterprise clients with substantial governance, risk and compliance (GRC) considerations. Speed must be paired with quality and trust. For every startup, proving quality and gaining trust present challenges, and AltitudeIQ has approached one by upending the established order and the other by following a tried-and-true strategy.
 
Luz and Yadgar relayed an experience with an enterprise client’s IT team: “The technical people were very skeptical,” according to Luz. But AltitudeIQ took on a problem that had festered for nine months and solved it in two and a half hours. While not every problem will be as easy to solve, this example shows AltitudeIQ’s mindset: that its work can withstand scrutiny and testing and it can handle enterprise clients’ most complex problems. Partnering with global brands such as Big Four firms, global systems integrators (GSIs), and large management consultancies also conveys AltitudeIQ’s quality to clients.
 
Consultancies and IT services companies repeatedly tout trust as part of their value proposition. For example, Big Four clients expect any startup a Big Four firm introduces to be thoroughly vetted, which builds trust. Additionally, close partnerships with these trusted brands help transfer some of that trust to AltitudeIQ.
 
AltitudeIQ does not rely on strategic alliances and faith in its technology. The company upends the established order — and reinforces quality and trust — through documentation, governance and reporting. Rather than generating documentation as a matter of course during software development and rollout, Luz explained, “You generate documentation just in time, fully updated when you need it … you go and generate because the agents can code and do the testing and everything for you. Now I need something for audit or something for validation. Now we generate the documents you need.” Are clients ready for this? Not yet, in Luz’s view, but they will come to appreciate it.

The disruptive impact of AltitudeIQ and companies like it

AltitudeIQ’s success could be hugely disruptive to the traditional consulting and IT services landscape. Drastically shortened timelines for implementation threaten system integrators’ traditional commercial models. Enterprises will rethink how they deploy and update their ERP systems and what is required for GRC, potentially reducing the need for large offshore staff dedicated to managed services around IT stacks.
 
When generative AI burst onto the scene, we read about (and maybe predicted a little bit ourselves) this kind of disruption to consulting and IT services, but adoption at scale by enterprise lagged well behind the hype. And IT services companies and consultancies continued to provide value through change management, GRC, and the management of increased complexity wrought by AI adoption. AltitudeIQ’s offerings, along with similar products in the market, significantly accelerate the time it takes to adopt and manage large ERP systems. However, this could create challenges for the very partners that AltitudeIQ currently collaborates with, at least in the short term. These companies and firms may need to adjust their own value propositions, technologies and capabilities in response.
 
The wild card remains change. Enterprise will likely be slow to fully adopt agents, or at least fully rely on them, for compliance and reporting. Typically, startups do not handle or consider change management, relying on consulting partners to guide clients, which can be another potential brake on disruptive adoption. But in the current AI age, even cultural and structural impediments to change seem to be overwhelmed by the need for speed. Yadgar noted, “I think for people that have got a problem today, the take-up is much faster. They go, ‘That’s my problem today. How can I use [AltitudeIQ’s software] tomorrow?’”
 
As AltitudeIQ scales, knowledge management will present another challenge. Currently, IT services companies and consultancies bring AltitudeIQ into their client meetings. If those opportunities scale quickly, will these consulting and SI partners be able to tell the AltitudeIQ story, from both a technology and a business perspective, without AltitudeIQ in the room?
 
White labeling and reselling make sense while AltitudeIQ remains in startup mode, but will GSIs and consultancies consistently consider AltitudeIQ IP, especially when other similar tech stacks are available? Alternatively, the AltitudeIQ IP may be so good that SAP or another tech giant might buy it, which could be the best path forward for a company operating in a paradoxical environment.
 
One more alternative path: small and midsize businesses. TBR has heard repeatedly in 2026 that GSIs and large consultancies have been investing in their SMB practices and offerings.
 
In TBR’s view, GSIs and global consultancies will need all the proven IP they can get to make it worthwhile for SMB clients to listen. Absent productization of services, the GSIs will not be able to meet SMB budgets. AltitudeIQ seems to have the right pricing and go-to-market model that will not interfere with GSIs’ SMB plans, should AltitudeIQ opt for hundreds of small clients rather than a dozen large ones? One thousand SMB clients using off-the-shelf AltitudeIQ IP? Or 10 Fortune 100 clients demanding customization, leading AltitudeIQ to expand into more services, against its strategic intentions? Knowledge management, client selection and selling out are all business-model challenges for AltitudeIQ, particularly as the company continues to grow.

Conclusion

TBR does not evaluate technology solutions; we evaluate businesses. While small relative to the companies TBR reports on quarterly, AltitudeIQ receives investment support from established technology investors with track records of building scaled businesses. TBR typically does not evaluate startups, but AltitudeIQ’s consulting heritage, relatively quick partnerships with leading IT services companies and consulting firms, and seamless fit within an exceptionally well-established technology environment (the vast SAP landscape) led TBR to take a closer look, and we will keep AltitudeIQ on our radar as 2026 winds down and return to hear more of their story in 2027.