Workflow Automation & Integration

Product Engineering & Managed Delivery

• Validate ideas through discovery workshops, user research and rapid prototyping.

• Translate business goals into functional requirements and solution designs.

• Define system architecture, integration patterns and technology choices.

• Build a delivery roadmap that clarifies scope, milestones and dependencies.

• Design and develop modern web and mobile applications with user‑centric experiences.

• Use contemporary frameworks and best practices for performance and security.

• Integrate with internal and external systems via robust APIs and services.

• Provide ongoing enhancements and support as products evolve.

Web & Mobile Application Development

Application Modernization & Re‑Engineering

• Evaluate legacy applications for business criticality, risk and modernization options.

• Identify where to refactor, re‑platform or rebuild to meet current and future needs.

• Improve performance, reliability and maintainability through modern architectures.

• Reduce technical debt and simplify the overall application portfolio.

• Map current processes to pinpoint bottlenecks, manual steps and handoffs.

• Automate workflows using integration platforms, APIs and low‑code tools where appropriate.

• Connect systems to enable straight‑through processing and better data flow.

• Monitor automated workflows to ensure they remain efficient and resilient.

• Provide cross‑functional product teams responsible for discovery, build and run.

• Use agile methods and DevOps practices to deliver frequently and reliably.

• Offer transparent reporting on progress, quality and risk.

• Take end‑to‑end accountability for agreed outcomes and service levels.

Software Development

Product Discovery & Solution Architecture

Analytics & Insights

Foundational Data Science

Real‑Time Monitoring & Decision Systems

Advanced Analytics & Predictive Modeling

• Develop predictive and prescriptive models for demand, churn, fraud, risk and more.

• Validate models using rigorous testing and back‑testing techniques.

• Integrate models into applications, dashboards or decision engines.

• Monitor performance over time and recalibrate as conditions change.

• Design dashboards that highlight KPIs, trends and root causes at a glance.

• Build semantic layers and governed datasets for consistent reporting.

• Enable business users to explore and slice data through intuitive interfaces.

• Provide training and guardrails so self‑service remains trusted and controlled.

BI Dashboards & Self‑service Analytics

Market Research & Insights

• Combine quantitative data with qualitative research to understand markets and customers.

• Analyze size, growth, behavior and competitive positioning in target segments.

• Identify unmet needs and opportunities for new or improved offerings.

• Convert insights into clear recommendations on proposition, pricing and go‑to‑market.

• Build statistical and machine learning models to answer key business questions.

• Design controlled experiments and A/B tests to validate ideas with data.

• Explore datasets to uncover patterns, drivers and hidden opportunities.

• Translate findings into clear recommendations that product and business teams can act on.

• Implement streaming data pipelines and event‑driven architectures for live insight.

• Build real‑time dashboards and alerting for critical metrics and thresholds.

• Automate rules and actions where rapid responses are needed.

• Continuously refine signal detection to reduce noise and focus attention.

Data Services

Data Governance, Security & Quality

Data Migration & ETL Modernization

Data Strategy

• Partner with business and technology leaders to define how data will drive growth, efficiency and innovation.

• Identify priority use‑cases, required capabilities and gaps across people, process and platforms.

• Deliver a clear data strategy and roadmap that links investments directly to measurable value.

• Design and build modern data platforms, including lakes, warehouses and streaming pipelines.

• Standardize ingestion, transformation and storage so data is consistent and easy to reuse.

• Ensure data is reliable, well‑structured and available where and when it is needed.

• Adopt automation and infrastructure‑as‑code to keep platforms scalable and cost‑efficient.

Data Engineering & Platform Build

Data Modernization & Consolidation

• Assess fragmented, legacy data estates and define a target modern architecture.

• Consolidate data from multiple systems into unified platforms that support advanced analytics.

• Retire obsolete assets to reduce complexity, risk and maintenance cost.

• Enable faster analytics, simpler reporting and a cleaner foundation for AI.

• Establish clear ownership, policies and controls across the full data lifecycle.

• Implement role‑based access, encryption and monitoring to keep data secure and compliant.

• Set up quality rules, validation and remediation workflows so teams can trust the data.

• Provide governance frameworks that balance control with agility for business users.

• Plan and execute complex data migrations with minimal disruption to day‑to‑day operations.

• Redesign legacy ETL into automated, maintainable pipelines using modern tools and patterns.

• Validate completeness and accuracy so migrated data is ready for analytics and applications.

• Put monitoring in place so pipelines are observable and easy to troubleshoot.

Digital Marketing

Social media & community

Email, nurturing & marketing automation

Website design, development & optimization

• Design and build modern, responsive front‑ends for web and mobile.

• Develop secure, scalable back‑end services and APIs that integrate with your stack.

• Engineer performant databases and content structures for speed and reliability.

• Optimize UX, SEO, performance and accessibility to convert visitors into leads.

• Improve organic visibility with technical SEO, on‑page optimization and content.

• Run targeted search and display campaigns (PPC/SEM) with clear CAC and ROI goals.

• Create and test landing pages to lift conversion rates on key offers.

• Provide transparent reporting on which keywords and campaigns drive pipeline.

Performance & Search Marketing (SEO/SEM)

Content & thought‑leadership marketing

• Develop content strategies spanning blogs, whitepapers, case studies and video.

• Produce SEO‑aligned, expert content that answers real buyer questions.

• Repurpose long‑form assets into social, email and sales‑enablement content.

• Measure engagement and opportunity influence to focus on high‑impact topics.

• Define platform roles (LinkedIn, X, YouTube, etc.) within your demand strategy.

• Manage organic and paid social programs that build awareness and qualified traffic.

• Engage with communities, partners and influencers in your niche.

• Track reach, engagement and lead quality to refine messaging and formats.

• Design lifecycle journeys for leads and customers across the funnel.

• Build segmented, personalized campaigns based on behavior and profile.

• Implement and optimize automation in tools like HubSpot or Salesforce.

• Monitor open, click and revenue metrics to continuously tune journeys.

Consulting

Software & Product Strategy

Technology Roadmap & Architecture Advisory

AI Strategy & Operating Model

• Help leadership define where AI should play and what competitive edge it should create.

• Design operating models, roles and processes to embed AI into everyday work.

• Establish governance, risk and compliance frameworks specific to AI.

• Create a change plan so teams are ready to adopt AI responsibly and at scale.

• Reimagine end‑to‑end processes with digital tools, data and automation at the core.

• Align business, technology and operations on a shared transformation vision and roadmap.

• Use structured change management to prepare, equip and support people through the shift.

• Track adoption and value realization so benefits are visible and sustainable.

Digital Transformation & Change Management

Global Capability Center Setup & Scaling

• Advise on the right locations, scope and operating model for capability centers.

• Define governance, work allocation and collaboration models with onshore teams.

• Support talent strategy, recruitment and capability building for key roles.

• Put performance measures and review rhythms in place from day one.

• Clarify target customers, value propositions and differentiation for your products.

• Prioritize roadmaps based on impact, feasibility and strategic fit.

• Guide build‑versus‑buy decisions and core platform choices.

• Align product, engineering and go‑to‑market teams around a single plan.

• Assess the current technology landscape and identify key risks and opportunities.

• Define target architectures for applications, data and integration.

• Create a phased roadmap that sequences investments and decommissioning.

• Provide ongoing advisory so architecture decisions stay aligned with strategy.