Software Engineering & Digital Transformation at Enterprise Scale
CI&T brings together strategy, design, and deep engineering craft to help the world's leading organisations build faster, operate smarter, and compete in markets that never stand still. Our services span the entire digital value chain — from the first insight to production-grade software running at global scale.
Digital Product Development
We design, engineer, and continuously evolve digital products that your customers actually want to use — built on solid architecture, tested rigorously, and shipped on time.
From greenfield platform builds to the modernisation of legacy systems carrying decades of business logic, our cross-functional squads cover every layer of the stack. We embed product thinking from day one: understanding who the user is, what the business needs to achieve, and what technical choices will still look wise in five years.
Our engineering teams practice continuous delivery, trunk-based development, and automated quality gates as standard — not as aspirations. Code that reaches production is code that's been reviewed, tested, and observed in staging environments that faithfully mirror real-world load.
- Full-stack web and native mobile engineering (iOS, Android, cross-platform)
- Product discovery workshops: problem framing, user research, opportunity mapping
- UX/UI design through to high-fidelity prototypes and design system creation
- Microservices architecture, API design, and integration engineering
- Automated testing suites — unit, integration, end-to-end, accessibility
- CI/CD pipeline setup and DevSecOps practices embedded in delivery workflow
- Post-launch iteration, performance monitoring, and feature roadmap support
Enterprises gain a reliable path from validated idea to market-ready product — with the velocity of a startup and the rigour their risk profile demands. Typical engagements reduce time-to-feature by 40–60% compared with in-house build or traditional outsourcing models.
What's Included
- Discovery & product strategy — stakeholder alignment, market framing, outcome definition
- UX research — qualitative interviews, usability sessions, journey mapping
- Interface design — wireframes, prototypes, component libraries, design tokens
- Backend engineering — REST/GraphQL APIs, domain-driven design, event-driven systems
- Frontend engineering — React, Angular, Vue.js, or framework-agnostic builds
- Quality assurance — automated test coverage reports, regression suites, load testing
- Documentation — architecture decision records, runbooks, API references
- Knowledge transfer — squad handover, codebase walkthroughs, internal enablement
30+ Years
Building enterprise-grade software across industries and geographies.
Agile-Native
Continuous delivery is how we work, not a methodology we teach in a slide deck.
AI & Intelligent Automation
We help organisations move from AI experimentation to production AI — models that work reliably in real operating conditions, integrated into the systems your business already runs on.
CI&T's AI practice combines data engineering, model development, and product integration expertise under one roof. Whether you're building a recommendation engine, operationalising large language models for internal knowledge management, or automating a complex back-office process, we architect solutions that are explainable, auditable, and built with governance from the start — not bolted on later.
We bring a practitioner's scepticism to hype: not every problem needs a neural network. Our teams select the right technique for the problem's actual complexity — from classical ML and NLP to generative AI and multi-agent workflows — and invest equally in the data infrastructure that makes those models trustworthy over time.
- AI strategy and use-case prioritisation — ROI framing, feasibility, build roadmap
- Data platform design: lakehouse architecture, pipelines, feature stores
- Machine learning model development, training, evaluation, and MLOps deployment
- Generative AI integration — LLM fine-tuning, RAG architectures, prompt engineering
- Intelligent process automation blending RPA, AI, and workflow orchestration
- Responsible AI reviews — bias audits, explainability, regulatory alignment
- Model monitoring: drift detection, performance dashboards, retraining pipelines
Clients achieve measurable operational leverage: processes that once required large manual teams run with far fewer touchpoints, decision-making becomes faster and more consistent, and new customer experiences — powered by personalisation or intelligent assistance — become commercially viable at scale.
Typical Engagements
- Intelligent document processing — extracting structured data from unstructured sources at volume
- Conversational AI & enterprise chatbots integrated with internal knowledge bases
- Demand forecasting and supply-chain optimisation models
- Personalisation engines for e-commerce, media, and financial services
- Fraud detection systems combining rule-based and ML-driven signals
- Computer vision pipelines for quality control and asset inspection
- LLM-powered developer tooling to accelerate internal engineering throughput
Cloud & Platform Engineering
We architect, migrate, and operate cloud-native platforms on AWS, Google Cloud, and Microsoft Azure — built for the availability, scalability, and security that enterprise workloads demand.
A well-built cloud platform is the foundation everything else depends on. CI&T's platform engineers work closely with application teams to ensure the infrastructure decisions made today don't become the constraints of tomorrow. We design for multi-cloud portability where it makes strategic sense, and for deep platform optimisation where a single-cloud commitment drives meaningful cost efficiency.
Our site reliability engineering practices ensure production systems are observable, resilient, and recoverable. We define SLOs and SLAs with business stakeholders — not just engineering leads — so reliability targets map directly to commercial impact rather than abstract uptime percentages.
- Cloud migration planning: assessment, workload profiling, risk-tiered sequencing
- Infrastructure-as-code engineering — Terraform, Pulumi, AWS CDK
- Kubernetes platform design, multi-cluster management, and GitOps workflows
- FinOps: cloud cost governance, tagging strategy, rightsizing, reserved capacity planning
- Security posture management — zero-trust networking, IAM design, secrets management
- Observability stacks: distributed tracing, structured logging, alerting, runbooks
- Disaster recovery design, chaos engineering, and game-day exercises
Organisations migrate to cloud without the business disruptions that plague poorly planned programmes, reduce infrastructure spend through disciplined FinOps practices, and gain platforms that scale seamlessly on demand — whether for planned peaks or unexpected viral growth.
Platform Specialisations
- AWS — Advanced Tier Services Partner with deep competency in EKS, Lambda, and data services
- Google Cloud — Workspace modernisation, BigQuery data platforms, GKE managed environments
- Microsoft Azure — AKS, Azure DevOps, Entra ID, and hybrid connectivity architecture
- Container & microservices platforms — Docker, Helm, service mesh (Istio/Linkerd)
- Serverless architectures — event-driven design, cost-efficient compute patterns
- Edge computing and CDN strategy for globally distributed user bases
Agile Transformation & Ways of Working
Technology alone doesn't transform an organisation. We work alongside leadership, product management, and engineering teams to build the operating models, habits, and cultures that make digital capability sustainable.
CI&T has been at the heart of lean and agile software delivery since before those words became management-consulting buzzwords. We've embedded our coaches and transformation leads inside some of the world's largest enterprises — helping them dismantle the handoff-heavy, approval-gated processes that slow digital initiatives to a crawl, and replacing them with flow-oriented models that put authority close to the work.
Transformation programmes are designed around the organisation's specific context: its existing governance, its risk tolerance, its regulatory obligations. We don't impose a rigid framework — we help organisations find the right model for their complexity, then build the coaching infrastructure to make it stick.
- Agile operating model design — team topologies, funding models, portfolio flow
- Embedded agile coaching at team, chapter, and executive levels
- Product management capability building — outcome-based roadmaps, OKR integration
- Engineering excellence programmes — TDD, pair programming, architecture guilds
- Value stream mapping and end-to-end flow optimisation
- Leadership alignment workshops and change communication design
- Measurement frameworks: DORA metrics, flow metrics, business outcome tracking
Organisations build the internal muscle to sustain digital delivery after the engagement ends. Teams ship smaller, more frequent releases with higher confidence. Leadership gains visibility into delivery health through metrics that connect engineering activity to business results — not just velocity points.
Transformation Levers
- Team structure redesign — aligning squads to product areas, reducing cross-team dependency
- Investment in psychological safety — retrospectives, blameless post-mortems, feedback culture
- Executive coaching on product-led governance and outcome accountability
- Platform team establishment to reduce cognitive load on feature teams
- Internal developer experience (DevEx) improvement — tooling, onboarding, documentation
- Technical debt triage and structured remediation planning alongside feature delivery
Hands-On
Our coaches work inside teams, not as observers writing reports from conference rooms.
Measurable
Every programme defines success criteria before kickoff and tracks them throughout.
Data & Analytics Engineering
We build the data foundations that turn raw information into a strategic asset — architectures that are reliable enough to trust, fast enough to query at scale, and governed well enough to satisfy your compliance team.
Many organisations are sitting on vast stores of data that remain largely theoretical as a competitive advantage — siloed in legacy systems, inconsistently defined, or simply too slow to query for the decisions that matter now. CI&T's data engineering practice addresses the full data stack: from ingestion and transformation pipelines through to semantic layers, data contracts, and the analytics interfaces that put insight in the hands of the people who need it.
We work with modern data platforms — Snowflake, Databricks, BigQuery, Redshift — and bring rigorous software engineering discipline to data work: version-controlled transformations, tested pipelines, and documented lineage. The result is a data platform your teams can rely on, rather than one they work around.
- Data strategy and architecture advisory — target state design, platform selection
- Modern data warehouse and lakehouse implementation
- ELT/ETL pipeline engineering with dbt, Spark, Airflow, and cloud-native tools
- Real-time streaming data pipelines — Kafka, Kinesis, Pub/Sub
- Data mesh implementation: domain ownership, data products, federated governance
- Analytics engineering — semantic layers, metrics stores, self-service BI enablement
- Data quality frameworks, catalogues, lineage tracking, and access control
Executives make decisions on trustworthy, timely data rather than gut instinct and stale spreadsheets. Data teams spend their time on insight and product work rather than firefighting broken pipelines. And AI initiatives actually land, because the data they depend on is clean, labelled, and structurally sound.
Data Stack Expertise
- Cloud data warehouses — Snowflake, BigQuery, Amazon Redshift, Azure Synapse
- Data transformation — dbt (Core & Cloud), Apache Spark, Flink
- Orchestration — Apache Airflow, Dagster, Prefect, AWS Step Functions
- Streaming — Apache Kafka, AWS Kinesis, Google Pub/Sub, Confluent Cloud
- BI & analytics — Looker, Tableau, Power BI, Metabase, custom dashboards
- Data governance — Apache Atlas, Collibra, DataHub, column-level access control
Experience Design
Design is not decoration. We practice experience design as a discipline that shapes business outcomes — creating products and services that people find intuitive, trustworthy, and genuinely useful in the moments that matter.
CI&T's design practice is embedded inside delivery teams rather than operating as a separate agency hand-off. Our designers collaborate with researchers, product managers, and engineers from the earliest stages of definition through to post-launch iteration. This proximity means design decisions are grounded in technical reality and informed by real user behaviour — not just aesthetic preference or stakeholder taste.
We invest seriously in design systems and component libraries because coherent, reusable design infrastructure accelerates delivery, reduces inconsistency, and makes accessibility a default rather than an afterthought. Our accessibility standards align with WCAG 2.2 AA as a baseline, with AA+ or AAA targets where required by regulation or audience need.
- User research — interviews, ethnographic observation, diary studies, usability testing
- Service design — journey mapping, blueprint creation, touchpoint orchestration
- Information architecture and content strategy
- Interaction and visual design — from wireframe to pixel-perfect specifications
- Design systems — token-based systems, component libraries, governance frameworks
- Accessibility audits and remediation — WCAG compliance, assistive technology testing
- Motion design and micro-interaction patterns that communicate system state
Products that users adopt willingly rather than grudgingly. Lower support costs, reduced abandonment rates, and higher Net Promoter Scores driven by interactions that respect users' time and intelligence. Design that compounds — each new feature built on a foundation that makes it easier to ship the next one well.
Design Disciplines
- Product design — end-to-end feature design from discovery through to engineering handoff
- Brand & identity — visual language, typography, iconography, motion guidelines
- Enterprise UX — complex data-dense interfaces, workflow tools, internal platforms
- Growth design — onboarding flows, activation loops, retention-focused interactions
- Design operations — Figma governance, handoff standards, design critique culture
- Research operations — participant recruitment, insight repositories, synthesis facilitation
A Delivery Model Built for Real-World Complexity
Every engagement follows a disciplined sequence designed to reduce waste, surface risks early, and keep engineering effort anchored to outcomes that the business actually cares about.
Discover
Stakeholder immersion, user research, technical audit, and problem framing. We define the right problem before we design any solutions.
Define
Outcome-based roadmap, solution architecture, team structure, and delivery rhythm agreed. Success criteria set before a line of code is written.
Build
Iterative, test-driven delivery in short cycles. Frequent production deployments, continuous stakeholder involvement, and relentless quality discipline.
Operate
Live system monitoring, incident response, and performance optimisation. We stay accountable beyond launch day — because that's where value is realised.
Evolve
Data-led iteration, capability transfer, and roadmap refinement. The system improves continuously in response to real user behaviour and market signals.
Deep Sector Expertise Across Global Markets
Our services are applied with sector-specific rigour. Each industry brings distinct regulatory pressures, customer expectations, and legacy constraints — and our teams are experienced in navigating all of them.
Financial Services
Core banking modernisation, open banking platforms, payments infrastructure, regulatory compliance automation, and wealth management digital experiences.
Healthcare & Life Sciences
Patient-facing digital health platforms, clinical workflow automation, health data interoperability (HL7 FHIR), and regulatory-grade software development practices.
Retail & Consumer
Omnichannel commerce platforms, personalisation engines, loyalty ecosystems, supply chain visibility tools, and next-generation in-store digital experiences.
Technology & Media
SaaS platform engineering, content delivery infrastructure, developer tooling, growth product design, and B2B product experience at enterprise scale.
Real Estate & Construction
Property management platforms, building information modelling integrations, tenant experience applications, and smart building IoT data infrastructure.
Telecommunications
Network operations platforms, customer self-service journeys, BSS/OSS modernisation, 5G-enabled service design, and churn prediction analytics.
Energy & Utilities
Smart meter data platforms, grid management software, customer energy management applications, and sustainability reporting and emissions tracking systems.
Public Sector
Citizen digital services, government data platforms, legacy system modernisation under strict procurement and security frameworks, and accessibility-first design.
What Sets Our Delivery Apart
Hundreds of companies can put engineers on a project. Fewer can pair that engineering with strategic clarity, design maturity, and the organisational change capability to make it last. Here is where CI&T consistently differentiates in competitive evaluations — and in the work itself.
Engineering Culture Over Vendor Culture
Our engineers are proud practitioners who hold each other to high standards. Code review is rigorous. Test coverage is not optional. Architecture decisions are documented and debated. This culture produces software that outlasts the engagement.
Full-Cycle Accountability
We don't hand off a spec to an offshore build team and hope for the best. The same people who define the solution design it, build it, and are accountable for its performance in production. Continuity of ownership drives better decisions at every stage.
Outcome Orientation, Not Billing Hours
Engagements are structured around measurable business outcomes agreed at the start. We track delivery health against those outcomes throughout — not against activity metrics that can be gamed without moving the needle on value.
Global Reach, Local Presence
With delivery centres across the Americas, Europe, and Asia-Pacific, we assemble teams that combine time-zone coverage with cultural and language proximity to the client's market. Scale doesn't come at the cost of relationship quality.
Built-In Knowledge Transfer
Every engagement includes explicit mechanisms to build client capability: pair programming with internal developers, architecture workshops, documentation standards, and coaching. Dependency on CI&T is designed to decrease over time, not increase.
Recognised by the Platforms We Work With
Technology partnerships and industry certifications that reflect the depth and consistency of our engineering practice — earned through delivery, not marketing spend.
Let's Talk About What You're Building
Whether you have a defined scope or a challenge you haven't yet been able to frame, our team is ready to engage — candidly and without obligation. We'll tell you what we can genuinely help with and what we can't, because long-term partnerships are built on trust from the very first conversation.