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Insights
Practical guidance on agentic AI, AI consulting, software engineering, legacy modernization and technology teams — written by the people who architect, build and operate the systems.
∕ Agentic AI / 8 min read
A practical explanation of agentic AI for business leaders, including how AI agents work, where they fit and what production-ready implementation requires.
→ open insights/what-is-agentic-ai-practical-guide-business-leaders.mdHow to identify AI opportunities worth funding, design agentic workflows with real controls and move from a promising pilot to a production system your organization can operate.
10 articles
→ open insights/topics/agentic-ai-consultingDecisions about legacy systems, delivery speed and engineering discipline — what to retain, refactor, rebuild or replace, and how to reach production without avoidable architectural shortcuts.
10 articles
→ open insights/topics/software-engineering-modernizationChoosing the right operating model for technology capability: individual specialists, dedicated teams, managed delivery or a complete R&D and AI technology center.
6 articles
→ open insights/topics/technology-talent-teamsWhere AI and modernization create measurable value in specific sectors, and how the business case is built before delivery begins.
4 articles
→ open insights/topics/industry-business-casesAgentic AI
A business-focused comparison of generative AI and agentic AI, with practical guidance on capabilities, use cases, architecture and risk.
8 min read / Agentic AI & AI Consulting
→ open insights/agentic-ai-vs-generative-ai-business-guide.mdAgentic AI
An engineering-led guide to designing, testing and operating an agentic AI system that can move beyond a prototype into controlled production use.
9 min read / Agentic AI & AI Consulting
→ open insights/build-agentic-ai-system-production.mdAI Consulting
A practical guide to using AI consulting to identify valuable opportunities, test the right assumptions and move from an idea to a dependable production system.
8 min read / Agentic AI & AI Consulting
→ open insights/ai-consulting-use-case-discovery-business-value.mdAI Consulting
A step-by-step framework for turning AI ambition into a sequenced transformation roadmap with clear outcomes, ownership, safeguards and investment decisions.
8 min read / Agentic AI & AI Consulting
→ open insights/how-to-create-ai-transformation-roadmap.mdAI Strategy
A practical framework for choosing between an off-the-shelf AI product, a custom system or an integrated approach without oversimplifying the trade-offs.
8 min read / Agentic AI & AI Consulting
→ open insights/build-buy-integrate-ai-decision-framework.mdAI Architecture
A practical comparison of local and cloud language models, including the questions that matter for privacy, quality, latency, cost and long-term operation.
8 min read / Agentic AI & AI Consulting
→ open insights/local-llms-vs-cloud-ai-how-to-choose.mdAI Delivery
A practical guide to the engineering, governance and operational work required to turn a promising AI proof of concept into a dependable production service.
8 min read / Agentic AI & AI Consulting
→ open insights/ai-proof-of-concept-vs-production-system.mdAI Governance
A proportionate AI governance framework for growing organisations that need to enable useful adoption while protecting data, customers and business operations.
8 min read / Agentic AI & AI Consulting
→ open insights/ai-governance-growing-companies-practical-framework.mdAI-Native Software Delivery
Why giving developers AI coding assistants is only one part of modern delivery, and what organisations need to achieve speed without creating hidden technical debt.
8 min read / Agentic AI & AI Consulting
→ open insights/ai-coding-tools-ai-native-software-delivery.mdLegacy Modernization
A decision-focused guide to assessing, planning and delivering legacy system modernization without losing critical data, business rules or operational control.
8 min read / Software Engineering & Modernization
→ open insights/legacy-system-modernisation-guide-for-ctos.mdLegacy Modernization
A realistic explanation of the conditions under which a legacy application can follow a 45-working-day rebuild model—and when a phased modernization is safer.
8 min read / Software Engineering & Modernization
→ open insights/rebuild-legacy-system-in-45-working-days.mdLegacy Modernization
A practical decision framework for choosing between a legacy rebuild, refactor or replatform—and for combining them safely within one modernization roadmap.
8 min read / Software Engineering & Modernization
→ open insights/legacy-rebuild-vs-refactor-vs-replatform.mdSoftware Engineering
A practical look inside AI-accelerated software delivery, from structured context and specialized agents to architecture controls, testing and human accountability.
8 min read / Software Engineering & Modernization
→ open insights/how-ai-accelerated-software-development-works.mdSoftware Engineering
Vibe coding can make prototypes quickly. AI-native engineering turns the same generation capability into secure, maintainable production software through structure and verification.
8 min read / Software Engineering & Modernization
→ open insights/ai-native-development-vs-vibe-coding.mdSoftware Engineering
Practical engineering and delivery choices that increase speed while protecting architecture, data integrity, security and long-term maintainability.
8 min read / Software Engineering & Modernization
→ open insights/build-software-fast-without-technical-debt.mdLegacy Modernization
A database-first guide to profiling legacy data, clarifying ownership, redesigning schemas and rehearsing migration before a new application goes live.
9 min read / Software Engineering & Modernization
→ open insights/database-modernisation-before-application-rebuild.mdSoftware Engineering
A practical production-readiness checklist for turning a promising software prototype into a secure, observable and maintainable operational system.
9 min read / Software Engineering & Modernization
→ open insights/prototype-to-production-software-delivery-checklist.mdSoftware Delivery
A buyer’s guide to the conditions that make fixed-price software development credible, the warning signs of false certainty and the controls both parties need.
8 min read / Software Engineering & Modernization
→ open insights/fixed-price-software-development-when-it-works.mdSoftware Delivery
A CTO-focused framework for evaluating a software partner’s engineering depth, AI delivery system, transparency, commercial model and ability to leave lasting value.
9 min read / Software Engineering & Modernization
→ open insights/how-to-choose-modern-software-development-partner.mdTechnology Talent & Teams
A practical framework for building a dedicated software team that combines the right capabilities, clear accountability and an effective engineering system.
8 min read / Technology Talent & Teams
→ open insights/build-high-performing-dedicated-software-team.mdTechnology Talent & Teams
A practical comparison of three common technology engagement models, including where each works, what the client must provide and how to avoid mismatched accountability.
8 min read / Technology Talent & Teams
→ open insights/staff-augmentation-vs-dedicated-team-vs-project-delivery.mdTechnology Talent & Teams
A decision-maker’s guide to establishing a Polish engineering center as a real product capability, with the right model, leadership, governance and path to ownership.
9 min read / Technology Talent & Teams
→ open insights/how-to-build-rd-centre-poland.mdTechnology Talent & Teams
A practical hiring framework for distinguishing production AI engineers from prototype specialists and creating a selection process that respects scarce senior candidates.
9 min read / Technology Talent & Teams
→ open insights/hiring-senior-ai-engineers-skills-process-timelines.mdTechnology Talent & Teams
A practical approach to reducing avoidable hiring delay while improving role clarity, technical evidence and candidate conversion for scarce data and security profiles.
8 min read / Technology Talent & Teams
→ open insights/hire-data-cybersecurity-specialists-faster.mdTechnology Talent & Teams
A practical comparison of two dedicated-team models, including the leadership each requires, the responsibilities each transfers and the conditions for success.
8 min read / Technology Talent & Teams
→ open insights/managed-engineering-team-vs-client-managed-team.mdAI Consulting & Automation
A practical guide to selecting and engineering e-commerce AI agents that can act across workflows without weakening data, security or commercial control.
9 min read / Industry & Business Cases
→ open insights/agentic-ai-ecommerce-use-cases-architecture.mdIndustry Solutions
A practical roadmap for improving manufacturing systems and introducing AI without destabilising production, data integrity or operational control.
9 min read / Industry & Business Cases
→ open insights/ai-software-modernisation-manufacturing.mdAI Consulting & Automation
A practical framework for choosing and deploying transport or logistics AI agents around real exceptions, reliable data and controlled operational authority.
9 min read / Industry & Business Cases
→ open insights/agentic-ai-transport-logistics-where-to-start.mdStrategy & Transformation
A practical, finance-ready framework for comparing AI and modernization investment with the current-state cost, realistic benefits, delivery risk and time to value.
9 min read / Industry & Business Cases
→ open insights/calculate-roi-ai-software-modernisation.mdIf one of these subjects is a live problem in your organization, we can help you work through it.
