Build, modernize and reimagine with technology that actually works.
Thoughtworks Brasil combines deep engineering craft with strategic advisory to help organizations rebuild their core, reconfigure their platforms, and reimagine what's possible in the age of AI. We don't hand you a roadmap and walk away — we build alongside you, end to end.
We don't just do AI. We build AI that works.
AI/works™ is Thoughtworks' agentic development platform — the product of decades of engineering expertise condensed into a system that fundamentally changes the economics and quality of building industrial-grade AI. It isn't a wrapper around a language model. It's an opinionated, production-ready foundation designed for teams that need reliability, observability, and control at scale.
With Thoughtworks technologists at the helm, organizations deliver higher-quality intelligent systems faster and at dramatically lower cost than traditional AI project cycles allow. For leadership teams who need AI running yesterday, AI/works™ is where the fundamentals get set right first.
Learn About AI/works™Agentic Orchestration
Multi-agent workflows with deterministic guardrails, human-in-the-loop controls, and full audit trails for regulated industries.
Engineering-First Approach
Every AI capability is built with production engineering discipline: tested, versioned, monitored, and designed to fail gracefully.
Observability & Control
Real-time visibility into model behavior, cost, latency, and accuracy — because AI in the dark isn't AI you can trust.
Enterprise Integration
Connects to existing data ecosystems, APIs, and identity infrastructure without forcing a rip-and-replace approach.
Turn fragmented data into a single, actionable source of truth.
Most enterprises don't have a data shortage — they have a coherence problem. Siloed pipelines, inconsistent definitions, and dashboards nobody trusts are symptoms of architecture that was built to capture data, not to make it useful. Thoughtworks designs and delivers end-to-end data platforms that unify R&D, commercial, and operational intelligence into one governed, real-time foundation.
Business OutcomeResearch and operational teams gain governed, real-time access to unified data, cutting time-to-insight from days to seconds — as demonstrated in our engagement with Bayer's global R&D division.
- Data mesh & domain-oriented architecture design
- Modern data lakehouse implementation
- Real-time streaming pipelines (Kafka, Flink)
- Data governance & quality frameworks
- Self-service analytics & BI enablement
- ML feature stores & model registries
- Cloud data platform engineering (AWS, GCP, Azure)
- Data contracts & semantic layer definition
Three capabilities every mature data organization needs — and we build all three.
Trustworthy Foundations
We instrument data quality checks at ingestion, transformation, and serving layers so teams stop arguing about numbers and start acting on them.
Scalable, Cost-Conscious Architecture
We balance performance against cloud spend — engineering storage, compute, and query patterns that grow with the business without the runaway bills.
AI-Ready Data Products
Every data platform we build is structured with downstream AI and ML consumption in mind — clean lineage, consistent schemas, and readily available feature pipelines.
Software built to last — engineered for the teams who own it tomorrow.
Thoughtworks was founded on one conviction: software quality is a competitive advantage, not a nice-to-have. Our engineering teams build digital products and internal platforms with the practices — trunk-based development, continuous delivery, rigorous testing, clear domain boundaries — that keep systems healthy as they scale. We embed with your teams, not above them.
Business OutcomeEngineering organizations we work with consistently reduce deployment frequency from weeks to hours, cut production incident rates, and see measurable improvements in developer satisfaction — because well-engineered systems are a joy to work on.
- Custom software product development
- Internal developer platform (IDP) design
- Microservices & API-first architecture
- CI/CD pipeline design & implementation
- Test automation strategy & engineering
- Cloud-native application development
- DevSecOps integration & shift-left security
- Developer experience (DX) optimization
Practices we've refined across 30 years and thousands of engagements globally.
Extreme Programming at Scale
Pair programming, test-driven development, and continuous refactoring aren't idealism — they're the engineering disciplines that keep codebases navigable at year five, not just year one.
Security as a First-Class Concern
Threat modeling, dependency auditing, and security testing are built into the delivery pipeline — not bolted on at the end or deferred to a separate team.
Continuous Delivery as Default
Every team we build with ships to production frequently and safely, using feature flags, progressive rollouts, and automated rollback to eliminate release-night anxiety.
Modernize the core without stopping the business.
Decades of accumulated mainframe logic, monolithic applications, and on-premise infrastructure don't disappear when leadership mandates cloud transformation. Thoughtworks has built a proprietary methodology — including GenAI-accelerated code analysis and strangler-fig decomposition patterns — that lets organizations extract, modernize, and migrate complex systems incrementally, keeping revenue-critical capabilities running throughout.
Business OutcomeOrganizations move from years-long waterfall migration projects to iterative delivery cycles measured in sprints — reducing modernization risk dramatically while producing real business value from the first quarter of engagement, not the last.
- Mainframe modernization with GenAI code comprehension
- Strangler-fig & parallel-run migration patterns
- Cloud landing zone design & FinOps strategy
- Monolith-to-microservices decomposition
- Technical debt assessment & prioritization
- Infrastructure-as-code migration (Terraform, Pulumi)
- Application portfolio rationalization
- Data migration & cutover planning
Rebuild. Reconfigure. Reimagine. The right path depends on what you're starting with.
Rebuild — When the Foundation Is Wrong
We design and build a replacement system using modern architecture patterns, migrating data and users incrementally so the old system sunsets gracefully, not catastrophically.
Reconfigure — When the Logic Is Sound
Existing business logic is extracted, wrapped, and re-exposed through modern APIs — preserving decades of encoded domain knowledge while unlocking cloud agility and composability.
Reimagine — When the Opportunity Is Bigger
Sometimes a modernization engagement surfaces a chance to rethink the product entirely. We have the strategy and engineering depth to pursue that opportunity without losing the operational core.
Experiences that engage, educate, and endure — across every channel.
Digital transformation only creates value when it changes how people interact with your organization. Thoughtworks designs and engineers customer-facing products, immersive AR/VR experiences, and GenAI-powered interfaces that shift what's expected in your industry. We apply the same engineering rigour to experience design as we do to backend architecture — because beautiful software that crashes, lags, or confuses is worse than none at all.
Business OutcomeOrganizations see measurable lifts in engagement, conversion, and satisfaction metrics — and, critically, they own products built to evolve, not agency deliverables that require a full rebuild eighteen months later.
- Product strategy & UX research
- Design systems & component library engineering
- Augmented & mixed reality experiences
- GenAI-powered conversational interfaces
- Accessibility auditing & remediation (WCAG 2.2)
- Performance engineering & Core Web Vitals
- Omnichannel commerce platforms
- Content strategy & personalization architecture
When history comes to life — AR that reinvented learning in museum spaces.
The Challenge
A leading cultural institution needed to make its permanent collection compelling to digital-native audiences without compromising the integrity of the physical space or its artifacts.
The Approach
Thoughtworks built a marker-free AR experience using spatial computing techniques, allowing visitors to surface contextual narratives, 3D reconstructions, and archival media simply by pointing their device at an exhibit.
The Result
Visitor dwell time increased significantly in AR-enabled galleries, and the platform has since been extended to traveling exhibitions, with no changes to the core experience engine.
Strategy you can execute — not slide decks you have to translate.
A technology strategy is only as good as the organization's ability to act on it. Thoughtworks advisors are practicing technologists: they've shipped production systems, led engineering teams, and navigated the organizational complexity that derails most transformation programs. Our recommendations are grounded in implementation reality, not theoretical best practice, and we stay accountable by embedding in delivery teams that execute the plan we helped create.
Business OutcomeExecutive and engineering leaders align on a coherent, sequenced transformation agenda — with clear trade-offs, realistic timelines, and a governance model that keeps the program on track as organizational priorities shift.
- Enterprise architecture assessment & target state design
- Technology radar customization for your organization
- AI readiness assessment & maturity model
- Build vs. buy vs. partner framework
- Engineering team topology & operating model design
- Partner ecosystem strategy (AWS, GCP, Azure)
- Technology due diligence for M&A activity
- CTO & engineering leadership advisory
Thoughtworks publishes the frameworks practitioners actually use — then helps you apply them.
Technology Radar
Published biannually, the Thoughtworks Technology Radar tracks techniques, tools, platforms, and languages across four rings of adoption — from Adopt to Hold. We help you read and apply it to your specific context.
Perspectives & Decoder
Our Perspectives publication and the Decoder guide give technology leaders a clear-eyed view of what matters now versus what's noise — so strategic conversations are grounded in evidence, not vendor marketing.
Partnership Ecosystem Design
As AWS Global Partner of the Year in Data & Analytics, we help organizations negotiate, structure, and get real value from hyperscaler partnerships — beyond the headline contract.
Deep domain knowledge across the sectors that drive the economy.
Generic technology advice doesn't work when regulatory constraints, customer expectations, and competitive dynamics differ this dramatically by sector. Our teams embed sector-specific expertise alongside engineering depth so the solutions we design are commercially viable, not just technically elegant.
Financial Services & Insurance
Core banking modernization, fraud detection, regulatory reporting, and AI-powered underwriting for banks, insurers, and fintechs.
Retail & E-Commerce
Composable commerce platforms, personalization engines, supply chain visibility, and unified customer data for omnichannel retailers.
Life Sciences & MedTech
R&D data unification, clinical trial analytics, regulatory-compliant software development, and AI-assisted diagnostics support.
Energy & Utilities
Smart grid data platforms, predictive maintenance systems, and digital field operations for energy transition leaders.
Public Sector
Citizen-facing digital services, government data platforms, legacy system modernization with security and compliance at the center.
Travel & Transport
Reservation platform modernization, real-time operations intelligence, and passenger experience platforms built for reliability at scale.
Manufacturing & Engineering
Industrial IoT platforms, quality management systems, supply chain digital twins, and ERP integration for complex manufacturers.
Media & Publishing
Content platform engineering, audience data infrastructure, dynamic paywall systems, and AI-assisted editorial tooling for digital publishers.
How an engagement actually works
We don't sell phases and disappear. Every engagement is structured so that real delivery — software running in production — happens as early as possible and trust is built continuously, not delivered in a final-day presentation.
Discover & Define
A focused discovery — typically two to four weeks — surfaces the actual problem, maps existing architecture and data, and aligns stakeholders on what success looks like in measurable terms.
Architect & De-Risk
We design the target architecture, identify the highest-risk assumptions, and build lightweight proofs of concept that resolve technical uncertainty before full-scale delivery begins.
Build & Iterate
Cross-functional Thoughtworks teams — engineers, designers, data scientists, and strategists — deliver working software in two-week cycles, with continuous stakeholder feedback shaping every iteration.
Scale & Transfer
As the product stabilizes, we deliberately transfer knowledge, patterns, and tooling to your internal teams — building capability that remains when the engagement ends, not dependency that requires us to stay.
Everything we deliver, in one place.
A quick reference across all six capability areas and the specific outcomes each one is designed to produce for your organization.
AI Strategy & Engineering (AI/works™)
From AI readiness assessment to production-grade agentic systems — we design, build, and operate intelligent systems with the engineering discipline that keeps them trustworthy at scale.
Data & Analytics Platforms
Unified data foundations built for governance, real-time access, and AI readiness — turning fragmented data estates into coherent platforms that the entire organization can rely on.
Software & Platform Engineering
Custom digital products and internal developer platforms built with extreme engineering discipline — continuous delivery, comprehensive testing, and architecture designed to outlast the engagement.
Legacy Modernization & Cloud Migration
Incremental, risk-controlled migration of mainframes, monoliths, and on-premise systems — using GenAI-assisted code comprehension and proven decomposition patterns to keep the business running.
Digital Experience & Emerging Tech
Customer-facing products, AR/VR experiences, and GenAI interfaces designed with the same engineering rigour as our backend work — accessible, performant, and built to evolve.
Technology Strategy & Architecture
Actionable transformation roadmaps developed by technologists who've shipped production systems — grounded in implementation reality, and backed by the insights of the Thoughtworks Technology Radar.
Ready to build something that actually works?
Whether you're navigating your first AI initiative, a decade-long mainframe modernization, or a digital product that needs to reach millions — let's start with an honest conversation about what your situation actually requires.