Reliable Data for Agentic AI and Smart Automation
Build a trusted data foundation. Empower your AI agents to make accurate, reliable decisions that move your business forward.
Separate the Signal from the Noise
Garbage in, garbage out. Many agentic AI projects fail because the data that systems rely on is incomplete, inaccurate, or poorly structured. Without a robust data foundation, even the most cleverly built AI will stall when executing tasks.
We solve data challenges at the source, ensuring the data powering your automation and agentic AI is accurate and appropriately structured. Our specialists run exploratory data analysis and focused quality checks to map the data you have and identify gaps limiting its use. From there, we define what needs to change to create a reliable data stream that can safely support autonomous decisions.
How Does TQA Prepare Your Data for Agentic AI?
We have extensive experience improving data streams and a proven track record in automation and AI-led business optimization. While we’re supported by partnerships with leading platforms like Databricks and Microsoft, our approach is tailored to your needs and existing tech stack.
On data projects, we test and shape the data that will feed your use cases. We then design the data flows that turn that signal into a dependable stream for your automation and agentic AI.
01
Data Specialists
We’ve spent years building strong data foundations across hundreds of enterprise AI and automation projects. Our experience helps you unlock useful signals from data spanning multiple systems and business units.
02
End-to-End Support
We support the full automation lifecycle, from defining your strategy to delivering and managing systems that evolve with your business.
03
The Agentic AI Experts
Get a clear and practical path to agentic adoption. Our specialization in agentic AI, paired with our business expertise, enables us to handle even the most complex workflows and use cases.
04
Designed for Your Tech Stack
We design data and AI solutions around your current stack and future needs, protecting key investments while recommending change when required.
05
A Virtuous Cycle
We design agentic systems that capture each action in consistent, structured logs. As those logs feed back into your platform, data quality improves, enabling agents to get smarter over time.
06
Global Reach
Our follow-the-sun delivery model, with hubs in the US, UK, Romania, and the Philippines, gives your program 24/7 support and coverage across regions.
07
4.9/5
Client satisfaction score, earned across hundreds of solutions delivered for global enterprise brands.
Success stories
- Healthcare: From Manual Claims to No-Touch Decisions
- Healthcare: Predicting Claim Denials Before They Happen
- Healthcare: Predicting Claim Denials Before They Happen
- FMCG: Agentic Copilot for Trade Promotion Accuracy
- FMCG: Creating a Single QA Hub for Supplier Issues
- FMCG: Powering Smarter Trade Spend Decisions
We implemented an agentic validation system that transformed a manual claims workflow into an automated one. Our system interpreted messy receipt data legacy tools missed, shifting no-touch processing from under 5% to a target of 80%.
Our advanced exploratory analysis revealed signals in historical claims data that allowed denials to be predicted in advance, turning past transactions into a forward-looking risk signal.
Our advanced exploratory analysis revealed signals in historical claims data that allowed denials to be predicted in advance, turning past transactions into a forward-looking risk signal.
We deployed a Microsoft Copilot Studio solution to review trade promotion documents, pull key dates and funding data from PDFs and spreadsheets, and flag anomalies with a simple pass or fail recommendation for users.
We built a centralized agent that brings together email alerts and ERP data into one Teams-based touchpoint. Our solution enabled QA teams to verify batch codes and manage supplier communications without juggling multiple systems.
We developed a predictive model to simulate the lift of various promotion mechanics. By analyzing historical performance across display types and seasons, the model helps category managers optimize trade spend with far greater precision.
Schedule a Consultation
We’re here to be your trusted partner in automation, data and AI services. You can schedule a meeting with us by using the form and we’ll be touch.
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