What adops tasks should be automated first (and why we’re prioritizing them in teqmate ai)

A typical SSP processes 100,000+ bid requests per second. Each request contains dozens of fields: device info, geolocation, consent, and user data. Manually tracking all this data in real-time and without mistakes? For an AdOps team, it’s not just difficult—it’s impossible. AI, however, can handle the challenge perfectly and tirelessly.           

This is why AI support for AdOps is no longer an advantage—it's a critical capability for scale. TeqMate AI by TeqBlaze is being developed to fulfil this requirement. We hope it can become the catalyst for the transformation of the entire industry.

The problem SSPs don’t talk about

Not all players in AdTech are ready to discuss their AdOps performance, let alone their mistakes. Furthermore, not all AdOps teams are fully aware of the small errors that might be impacting their campaigns. All they see (and try to fix) is the decreased performance. They can address the symptoms, but can’t always pinpoint the root cause.

Meanwhile, a minor AdOps error doesn’t just impact performance—it silently destroys revenue. From what we have seen, such errors take different forms.

For example, one client operated for months before noticing their AdOps team had accidentally deleted a partner from an ads.txt file, resulting in the loss of every single ad request. Another accidentally passed ‘UK’ instead of ‘GB’ in the geo field, resulting in $14,000 of lost revenue in under 10 days.

One of the most common blunders is the misconfiguration of filter lists and targeting. For example, instead of sending traffic from a specific partner or region to a DSP, an AdOps manager might accidentally apply a filter that sends traffic from others indiscriminately. This leads to lower conversions and can even cause DSPs to reject mismatched inventory altogether. Similarly, with curated deals, a minor typo in the setup (for example, a wrong price or Deal ID added)  results in a loss of performance, revenue, and potentially a partner’s trust.

Sounds familiar, perhaps? It's because these scenarios are not isolated incidents. They are universal and costly real-world threats that AdOps teams face daily. This means they require an equally universal and automated solution. In other words, they require embedded AI solutions like TeqMate AI.

What makes TeqMate AI a “universal” solution?

It was engineered based on extensive real-world client data. Not on assumptions or general benchmarks, but on live platform performance data. Our Client Service and R&D departments spent hours defining the list of the most critical client pain points. This data became the foundation for the functionality of TeqMate AI.

We analyzed client performance feedback, and it all pointed to one issue: revenue loss. We tried to find out the underlying reasons and came to the conclusion that it isn't primarily a technology problem; it's a human bandwidth problem. Even the most talented AdOps teams are drowning in repetitive work. We built TeqMate AI to fix this broken process, automating repetitive diagnostics and data cleanup so your experts can focus on strategy. 

Olga Zharuk, CPO at TeqBlaze.

The critical point: TeqMate AI is a smart assistant, not a manager. It finds problems, and your team provides solutions. In a modern, complicated programmatic environment, this is vital. Speed is everything. 

When an issue strikes, every second of delay costs you bids, revenue, and partners’ trust. But to find the fix, your AdOps team is expected to manually dig through reports with 100,000, 200,000, or 450,000+ rows of data.

That’s not efficient analysis — it’s a time-consuming hunt through massive datasets where finding the true root cause can take hours. With TeqMate, this entire process can be significantly improved and streamlined.

What exactly can TeqMate AI do?

It covers data analysis and all routine, repetitive tasks. Below is a more detailed snapshot of critical AdOps tasks automated by TeqMate AI—they reduce manual workload while catching revenue-impacting anomalies. We are planning to update the list in the future, so stay tuned if you want to know more.

Current TeqMate AI functionality

How exactly does this boost AdOps performance? 

Here’s what the capabilities of TeqMate AI mean in practice:

Internal benchmarks show that due to TeqMate’s AI DSP bid rejection analysis campaign launches sped up by up to 60%. Furthermore, using TeqMate AI to take care of Setup QA, AdOps teams freed up to 40% of their working day. This means that:

A) AdOps’ daily performance improved, and 

B) AdOps teams have more time for strategic tasks like setting up new inventories or conducting A/B tests.

And the best part — TeqMate’s AI ability to conduct campaign configuration audits significantly increases their optimization due to a drop in revenue-impacting misconfigurations. The drop can exceed 50% depending on the strategies and campaign configurations used.

And all of this—due to the simple delegation of routine analysis to the embedded AI. 

Because TeqMate AI can streamline spec validation, pinpoint bid request errors, and conduct bid rejections,lAdOps teams no longer have to choose between monitoring existing campaigns or launching new ones. They can easily do both while having significantly more time for  high-value tasks. 

The result? Existing campaigns perform better, new inventory is set up faster, and both directly contribute to a healthier bottom line.

It is a win-win strategy.

But let’s see how it works in a real-life example. For AdOps, it is common to come to work in the morning and find that revenue from a specific location has dramatically dropped compared to the day before. In some cases, the drop may even exceed 20%. To find the reason, AdOps has to analyze reports, check bid request configurations, and review setups for bid floors and other parameters. Without AI support, this might take anywhere from an hour to a whole day. With TeqMate AI, AdOps receives alerts highlighting specific data points with potential mismatches and anomalies.

The key point: the time to fix a misconfigured campaign drops from nearly a day to merely an hour. The SSP recovers thousands in potential lost revenue, and AdOps can spend their day on strategic tasks, not manual data digging.

In 2025, AI in AdOps isn't an advantage—it's the new normal

Humans excel at making strategic decisions. They cannot manually process the massive amounts of data programmatic generates each second—a limitation that leads to costly mistakes. Breaking this performance ceiling requires a new class of tools—AI assistants. This is precisely the strategic gap TeqMate AI was created to fill. It empowers AdOps teams’ analytical capabilities, enabling them to achieve operational excellence and thus increase SSPs’ general revenue. 

Want to try TeqMate AI on your own SSP? Join the waiting list to be among the first to receive product updates, get early access to new features, and test the solution—before it’s available to the wider market.