Generative AI for
Complex Enterprises
Turn Generative AI pilots & PoCs into governed, production-grade systems
We design, build, and run enterprise Generative AI systems with the same rigor as any mission-critical platform: engineered, governed, observable, and ready to scale. We treat GenAI as a production asset in your stack, embedded in the same controls and standards as your core platforms. Our teams help you move from scattered pilots and shadow tools to a single governed platform powering copilots, agents, content workflows, and decisioning across the enterprise. The result is fewer experiments and more production systems your teams trust, with risk, compliance, and audit aligned.
Client outcomes we’ve delivered with Generative AI
CSR call prep time using a GenAI-powered assistant for a North American diversified energy distributor.
Cost savings with AI-driven QA automation for a global financial analytics provider.
AI OCR accuracy on asset inspections for a North American diversified energy distributor.
Architecture-first Generative AI solutions
Connect copilots, agents, & data into a governed platform that runs real workloads.
Most enterprises already have GenAI in play, but it’s not safely connected to the systems that run pricing, risk, operations, and customer decisions. The result is PoCs that don’t scale, fragmented tooling, and unclear ROI. We treat Generative AI as an architectural shift: data, models, governance, and operating model designed together so copilots and agents can run safely in production.
We use retrieval-augmented generation, knowledge graphs, tool-calling, and agentic workflows to keep models grounded in your data and processes. A shared GenAI and LLMOps platform handles security, governance, and operations across models so you can scale use cases, swap providers, and control cost and latency without increasing risk.
Client Success
Faster platform performance
Lower feature update cycles
QA cost savings
Seamless QA Integration for A $44B FinTech Merger at a Global Financial Information & Analytics Provider
Challenges
Our client, a leading provider of financial information and analytics, has partnered with TechBlocks since 2016 to drive quality assurance and operational excellence. Following its $44 billion merger with IHS Markit, the company faced the complex task of integrating more than 300 applications and digital platforms. Legacy QA processes struggled to scale with the increased workload, leading to inconsistencies in quality and delays in feature releases. Fragmented workflows and approval bottlenecks limited transparency and slowed collaboration across teams—directly impacting time-to-market and putting system stability at risk. To meet the high-performance standards demanded by global financial markets, the client needed a more scalable, structured, and automated QA model.
Solutions
TechBlocks delivered a streamlined QA transformation that scaled quality across 300+ platforms while reducing manual effort and delays:
- Integrated TechBlocks’ AI-driven Assessment Framework with the client’s KAFE framework to enable rapid test case generation, automated regression testing, efficient bug tracking, and continuous monitoring across 300+ platforms
- Deployed a specialized 36-person QA team for functional and performance testing on critical applications
- Embedded Agile practices through Scrum-based sprints and a structured 5-day QA approval cycle for new features, significantly cutting release delays
- Trained in-house teams on advanced QA methodologies, Tableau-based validation, and automation, with flexible resourcing to support BI analytics tasks when needed
- Provided long-term QA support to maintain platform reliability, scalability, and readiness for future business and technology demands
Generative AI Services
GenAI Strategy & Value Discovery
We align GenAI with your real constraints: regulation, fragmented data, limited engineering capacity, and board expectations. Through rapid assessments and executive working sessions, we surface high-value, low-risk use cases such as knowledge assistants, code copilots, and customer-service augmentation, then build business cases tied to business-critical operational, financial, and risk metrics. The result is a GenAI roadmap and strategy that takes you from scattered experiments to a reusable, governed platform tied to hard numbers.
Data, Governance, & Responsible GenAI
GenAI fails fast without clean, governed data and clear guardrails. We design data and AI governance for LLMs and agentic systems, covering lineage, quality, consent and rights, and fine-grained access. RAG on your internal content, with source citations, permissions-aware retrieval, and knowledge graphs, keeps responses grounded and cuts hallucinations. Together with legal, risk, and compliance, we define input and output policies, fairness and explainability checks, human-in-the-loop thresholds, and AI risk registers and audit trails that align with evolving regulations.
Model & LLM Engineering
We build and tune models for core problems like forecasting, pricing, churn, recommendations, anomaly detection, and optimization, using the right approach for each. Every model goes through rigorous evaluation – backtesting, cross-validation, fairness checks, and impact simulation – so finance and risk can sign off with confidence. In parallel, we select the right mix of frontier, open-source, and specialized LLMs based on cost, latency, and data sensitivity, then use them to build copilots, document understanding, multi-step reasoning, and AI agents that orchestrate end-to-end workflows across your APIs and systems, backed by instruction-tuning, reusable prompt patterns, and evaluation suites for quality, safety, and bias.
GenAI Platforms, MLOps, & LLMOps
We make GenAI operations reliable and predictable. That means CI/CD for prompts, models, and RAG pipelines, automated testing, and clear observability across latency, cost, hallucinations, and safety events. We use canary rollouts, A/B testing, routing, caching, and batching to control risk and spend, while evolving your existing MLOps into a unified LLMOps platform that acts as the control plane for GenAI across teams and products. Inside that platform, our accelerators, labs, and workbenches let you test models, vendors, and use cases in controlled environments before promoting what works to hardened production, with multi-model orchestration and shared reference architectures forming the foundation for future agents, copilots, and AI-native products.
Domain & Functional GenAI Solutions
We build domain-aware GenAI systems for complex industries and functions. In customer experience, that means omnichannel assistants, proactive service, and intelligent case triage powered by your products, policies, and history. In operations and supply chain, it’s AI agents that automate reporting, forecasting, and exception handling. For engineering and product teams, it’s developer copilots, AI-assisted code generation, and documentation that plug into your SDLC.
Change, Enablement, & GenAI Operating Models
Technology isn’t the challenge, adoption is. We design future-state operating models for AI-native teams, from Centers of Excellence to GCCs where GenAI is built into how every pod delivers. We run enablement programs for leaders, business users, and engineers on working with copilots, designing prompts safely, and measuring productivity and quality impact. Co-design sessions with your teams mean they don’t just get trained; they co-own the roadmap and feel confident using AI in day-to-day work.
Expertise you can trust
Why clients partner with TechBlocks for Generative AI
GenAI only matters when it’s useful, reliable, and measurable in your environment. Our AI-native architectures bake governance into the operating system and prepare your stack for a multi-model, agentic future. Strategy, product, data, platforms, and change run as one integrated motion, so you’re not stitching together multiple vendors. With deep domain experience in regulated environments and a focus on the metrics that matter, you get a GenAI program the board, risk, and regulators can stand behind with clear, defensible ROI.
“TechBlocks is one of the best engineering companies, especially for creating an offshore COE for S&P with hundreds supporting enterprise platforms. They’ve delivered in tough situations, ramped up quickly, and consistently exceeded expectations.”
Pratik Modi, Head of Technology – S&P Global
Global Financial Information & Analytics Provider.
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Share your most pressing challenges and priorities with our team, and let’s explore what’s possible.
