[{"data":1,"prerenderedAt":382},["ShallowReactive",2],{"common:header":3,"common:footer":55,"common:common":65,"common:form":84,"common:organization":103,"page:services-ai-engineering-transformation":160},{"navigation":4},{"links":5},[6,9,40,43],{"title":7,"link":8},"Home","\u002F",{"title":10,"link":11,"submenu":12},"Services","\u002Fservices\u002F",[13,19,24,29,35],{"title":14,"link":15,"group":16,"icon":17,"description":18},"IT Recruiting","\u002Fservices\u002Fit-recruiting\u002F","Talent & Teams","people-search","Permanent in-house hires — engineers screened by engineers.",{"title":20,"link":21,"group":16,"icon":22,"description":23},"Staff Augmentation & Outstaffing","\u002Fservices\u002Foutstaffing\u002F","graduation-cap","Senior specialists on D-Factor payroll, embedded in your team within days.",{"title":25,"link":26,"group":16,"icon":27,"description":28},"Dedicated Delivery Team","\u002Fservices\u002Fdevelopment-team\u002F","shield","A nearshore engineering team composed for your product.",{"title":30,"link":31,"group":32,"icon":33,"description":34},"Managed Application Services","\u002Fservices\u002Fmanaged-application-services\u002F","Engineering Services","monitor-pulse","Monitoring, incidents, maintenance and improvements with defined responsibilities.",{"title":36,"link":37,"group":32,"icon":38,"description":39},"AI Engineering Transformation","\u002Fservices\u002Fai-engineering-transformation\u002F","spark","Secure AI workflows across your SDLC, measured against delivery outcomes.",{"title":41,"link":42},"Career","\u002Fcareer\u002F",{"title":44,"link":45,"submenu":46},"Company","\u002Fabout-us\u002F",[47,49,52],{"title":48,"link":45},"About Us",{"title":50,"link":51},"Blog","\u002Fblog\u002F",{"title":53,"link":54},"FAQ","\u002Ffaq\u002F",{"copyrightHolder":56,"tagline":57,"legalLinks":58},"D-Factor","Verified software teams and specialists across Europe — from Warsaw since 2017.",[59,62],{"title":60,"link":61},"Privacy","\u002Fprivacy-policy",{"title":63,"link":64},"Cookie Policy","\u002Fcookie-policy",{"buttons":66,"contactUsSection":73,"contact":83},{"contactUs":67,"upload":68,"sendMessage":69,"bookCall":70,"leaveRequest":71,"clearForm":72},"Contact us","Upload","Send a message","Book a call","Leave a request","Clear form",{"title":67,"description":74,"phoneNumber":75,"email":76,"legalInfo":77},"Leave your request in the form or book a call with our specialists.  After that you can get a free consultation on your project or direct access to our verified staff database.","+48 888 420 245","info@d-factor.pro ",{"legalName":78,"registeredAddress":79,"krs":80,"nip":81,"regon":82},"D-Factor Sp. z o.o.","Aleja Armii Ludowej 6, 00-571 Warsaw, Poland","0000850123","5252847391","385621047","contact",{"labelName":85,"labelPhone":86,"labelEmail":87,"labelCompanyName":88,"labelMessage":89,"labelFiles":90,"labelLocation":91,"labelCoverLetter":92,"labelAttachCV":93,"upload":68,"or":94,"contactsUs":67,"forClients":95,"forDevelopers":96,"successMessage":97,"errorMessage":100},"Full Name*","Phone number","Email*","Company name","Message*","Attach file","Location","Cover letter","Attach CV","or","For clients","For developers",{"title":98,"text":99},"Thank you!","Your request has been accepted. We will contact you within 24 hours.",{"title":101,"text":102},"Error sending message!","Please, try again later or email us at info@d-factor.pro",{"name":56,"description":104,"url":105,"logo":106,"foundingDate":107,"address":108,"telephone":115,"email":116,"sameAs":117,"contactPoint":121,"hasOfferCatalog":128},"Verified software teams and specialists across Europe — nearshore outstaffing, dedicated development teams, and IT recruiting for UK and EU companies.","https:\u002F\u002Fd-factor.pro","https:\u002F\u002Fd-factor.pro\u002Fimages\u002Ficons\u002FLogo.svg","2017",{"@type":109,"streetAddress":110,"addressLocality":111,"addressRegion":112,"postalCode":113,"addressCountry":114},"PostalAddress","Aleja Armii Ludowej 6","Warsaw","Mazowieckie","00-571","PL","+48888420245","info@d-factor.pro",[118,119,120],"https:\u002F\u002Fwww.linkedin.com\u002Fcompany\u002Fdfactor-pro\u002F","https:\u002F\u002Fclutch.co\u002Fprofile\u002Fd-factor","https:\u002F\u002Fwww.goodfirms.co\u002Fcompany\u002Fd-factor-sp-z-o-o",{"@type":122,"telephone":115,"contactType":123,"areaServed":124,"availableLanguage":125},"ContactPoint","customer service","Worldwide",[126,127],"English","Polish",{"@type":129,"name":130,"numberOfItems":131,"itemListElement":132},"OfferCatalog","Nearshore IT Services",3,[133,143,152],{"@type":134,"itemOffered":135},"Offer",{"@type":136,"name":20,"description":137,"serviceType":138,"url":139,"areaServed":140,"provider":141},"Service","Vetted senior and mid-level specialists from our EU partner network on D-Factor payroll, integrated into your team and tools within 3–7 days. Shortlist in 48 hours. No freelancers, no hidden costs, EU contracts. We handle payroll and compliance — you direct the work.","Outstaffing \u002F Staff Augmentation","https:\u002F\u002Fd-factor.pro\u002Fservices\u002Foutstaffing\u002F","Global",{"@type":142,"name":56,"url":105},"Organization",{"@type":134,"itemOffered":144},{"@type":136,"name":145,"description":146,"serviceType":145,"url":147,"areaServed":148,"provider":151},"Dedicated Development Team","Composed nearshore dedicated development teams based in Poland and across the EU. Assembled for your roles and ways of working — exclusive to your roadmap for 6+ months. EU contracts, predictable billing, five-stage vetting, 100% IP yours.","https:\u002F\u002Fd-factor.pro\u002Fservices\u002Fdevelopment-team\u002F",{"@type":149,"name":150},"GeoShape","Western Europe, UK, North America",{"@type":142,"name":56,"url":105},{"@type":134,"itemOffered":153},{"@type":136,"name":154,"description":155,"serviceType":156,"url":157,"areaServed":158,"provider":159},"IT Recruiting for Tech Teams","Full-cycle IT recruitment for permanent in-house software engineering hires. Technical screening by senior engineers — sourced from Poland and the EU. 2–4 vetted finalists per role, not a stack of CVs. ~2 months to first day.","IT Recruitment","https:\u002F\u002Fd-factor.pro\u002Fservices\u002Fit-recruiting\u002F","Europe",{"@type":142,"name":56,"url":105},{"meta":161,"hero":167,"framework":176,"problems":195,"program":216,"packages":240,"measurement":273,"useCases":298,"audience":326,"why":341,"faq":356,"closing":378},{"title":162,"description":163,"schema":164},"AI Engineering Transformation & SDLC Adoption | D-Factor","Adopt AI across your software development lifecycle with practical pilots, secure workflows, developer enablement, and outcome-based engineering metrics.",{"name":36,"serviceType":165,"areaServed":140,"description":166},"AI SDLC Adoption \u002F Engineering Enablement","AI SDLC readiness assessment, controlled engineering pilot, secure agent governance, role-based enablement, and organization rollout measured against delivery and quality outcomes.",{"label":36,"title":168,"subtitle":169,"cta":170,"secondaryCta":171,"trust":172},"Turn AI Coding Tools Into a Measurable Engineering Capability","Licenses alone do not change how software gets delivered. We help engineering teams introduce AI into day-to-day development with clear guardrails, hands-on enablement, practical workflows, and metrics that balance delivery speed with code quality and security.","Plan an AI Engineering Pilot","See the Transformation Framework",[173,174,175],"Tool-agnostic","Security-aware","Measured against delivery outcomes",{"title":177,"steps":178,"balance":191},"From baseline to better delivery",[179,182,185,188],{"title":180,"description":181},"Diagnose","Workflows, current AI usage, security constraints, delivery metrics.",{"title":183,"description":184},"Design","A few valuable use cases, approved tools, agent permissions, quality gates.",{"title":186,"description":187},"Pilot","One squad, real tasks, coaching, captured outcomes.",{"title":189,"description":190},"Scale","Extend to other teams once benefits and risks are understood.",[192,193,194],"Speed","Quality","Security",{"eyebrow":196,"title":197,"items":198,"bridge":215},"The problem","AI Adoption Is Happening. Is Engineering Getting Better?",[199,203,207,211],{"icon":200,"title":201,"description":202},"split","Tools are used inconsistently","Some engineers use agentic workflows; others avoid AI entirely.",{"icon":204,"title":205,"description":206},"lock","Security policies lag behind","Code, credentials, access scopes, and external integrations need clear boundaries.",{"icon":208,"title":209,"description":210},"hourglass","Faster coding does not mean faster delivery","Review bottlenecks, large pull requests, and rework can offset gains.",{"icon":212,"title":213,"description":214},"target","There is no trusted baseline","Leaders see usage statistics but struggle to measure impact on delivery quality and throughput.","We turn isolated experimentation into a repeatable engineering capability — starting with one real team and measurable results.",{"eyebrow":217,"title":218,"items":219},"What we deliver","A Practical AI Engineering Enablement Program",[220,224,228,232,236],{"icon":221,"title":222,"description":223},"assess","AI SDLC Readiness Assessment","Review your current software delivery process, tool usage, data boundaries, engineering friction, and quality metrics. Identify priority use cases, risk controls, and a pilot team.",{"icon":225,"title":226,"description":227},"code","AI Tooling & Workflow Integration","Configure approved coding assistants and agentic workflows to fit your repositories, issue tracking, review process, CI\u002FCD, and documentation practices.",{"icon":229,"title":230,"description":231},"shield-key","Secure MCP & Agent Governance","Define allowlisted integrations, access boundaries, permissions, secrets handling, approval gates, and audit expectations for AI tools and agents.",{"icon":233,"title":234,"description":235},"playbook","Engineering Playbooks & Role-Based Enablement","Practical guidance for developers, QA, tech leads, architects, and reviewers — workshops, pairing, and reusable workflow templates.",{"icon":237,"title":238,"description":239},"chart-bars","Pilot Measurement & Organization Rollout","Run a controlled pilot, assess outcomes against a baseline, refine processes, and plan expansion to additional teams.",{"eyebrow":241,"title":242,"outputLabel":243,"items":244,"optional":272},"Packages","Start Small. Scale What Actually Works.","Output",[245,253,263],{"step":246,"title":222,"outputs":247},"Step 1",[248,249,250,251,252],"Maturity scorecard","Risk register","Candidate workflows","Recommended tools & controls","Pilot plan & KPI baseline spec",{"step":254,"title":255,"outputs":256,"highlight":262},"Step 2","Engineering Pilot (one squad)",[257,258,259,260,261],"Approved workflows","Initial playbooks","Pilot coaching","Evaluation dashboard","Lessons learned & rollout decision",true,{"step":264,"title":265,"outputs":266},"Step 3","Organization Rollout & Enablement",[267,268,269,270,271],"Team training & onboarding guides","Governance process","Ownership model","Measurement cadence","Updated engineering standards","Optional: periodic AI Engineering Review to revisit metrics, security policies, workflows, and costs as tools evolve.",{"eyebrow":274,"title":275,"areaLabel":276,"metricsLabel":277,"items":278,"methodNote":297},"Measurement","Measure Outcomes, Not Just Prompts and Seats","Area","What we measure",[279,283,286,289,293],{"icon":280,"area":281,"metrics":282},"speed","Delivery","Lead time from work item to production, cycle time for comparable tasks, release throughput.",{"icon":284,"area":193,"metrics":285},"check-circle","Escaped defects, change failure rate, rework, PR review burden, meaningful test coverage.",{"icon":33,"area":287,"metrics":288},"Operational impact","Deployment recovery, MTTR where relevant.",{"icon":290,"area":291,"metrics":292},"team","Adoption","Active approved users and repeatable workflow usage, interpreted alongside quality outcomes.",{"icon":294,"area":295,"metrics":296},"wallet","Cost & governance","Total tooling cost, agent compute usage, security exceptions, policy adherence.","We agree a baseline, pilot scope, and comparison method before claiming productivity improvements. We do not use lines of AI-generated code as a success metric.",{"eyebrow":299,"title":300,"items":301},"Use cases","Practical AI Workflows Across the SDLC",[302,306,310,314,318,322],{"icon":303,"title":304,"description":305},"compass","Understanding unfamiliar code","Repository orientation, architecture explanations, and dependency exploration.",{"icon":307,"title":308,"description":309},"tests","Test engineering","Unit\u002Fintegration test scaffolding and gap analysis under QA review.",{"icon":311,"title":312,"description":313},"refresh","Refactoring & modernization","Repetitive changes with verification through tests and code review.",{"icon":315,"title":316,"description":317},"pull-request","Pull request preparation","Change summaries, risks, suggested checks, and review support.",{"icon":319,"title":320,"description":321},"plan","Requirements-to-plan workflows","Convert tickets and specifications into engineer-reviewed implementation plans.",{"icon":323,"title":324,"description":325},"docs","Documentation & knowledge transfer","Update technical documents and onboarding guidance with validated context.",{"eyebrow":327,"title":328,"items":329},"Who it's for","Designed for Teams Building Complex Software",[330,334,337],{"icon":331,"title":332,"description":333},"card","FinTech","Guardrails and review controls for security-sensitive code and regulated workflows.",{"icon":22,"title":335,"description":336},"EdTech & HRTech","Efficient development across platform, data, and integration-heavy products with privacy considerations.",{"icon":338,"title":339,"description":340},"layers","Enterprise product teams","Standardization across multiple repositories, squads, and established release processes.",{"eyebrow":342,"title":343,"description":344,"pillars":345},"Why D-Factor","Engineers Helping Engineers Change How They Work","We approach AI adoption as a delivery problem, not a vendor selection exercise — combining software engineering, architecture, QA, and practical experimentation with AI-assisted workflows, without removing accountability from engineers and reviewers.",[346,349,351,353],{"icon":347,"title":348},"wrench","Hands-on implementation",{"icon":229,"title":350},"Pragmatic governance",{"icon":338,"title":352},"SDLC integration",{"icon":354,"title":355},"lightbulb-chart","Measurable learning",{"title":357,"items":358},"Before You Start a Pilot",[359,363,367,370,374],{"id":360,"title":361,"description":362},1,"Do you require Claude Code, Copilot, or another specific tool?","No. We help evaluate and implement tools that fit your repositories, policies, security requirements, and workflows.",{"id":364,"title":365,"description":366},2,"Will our source code be used to train an external model?","Data handling depends on the selected vendor, plan, contract, and configuration. We review these terms and your security requirements before recommending production use.",{"id":131,"title":368,"description":369},"Can you work with our security and compliance teams?","Yes. The pilot includes decisions on access scope, sensitive data, approval gates, logging, and policy exceptions with the relevant stakeholders.",{"id":371,"title":372,"description":373},4,"How do you measure success?","We define a baseline and compare suitable delivery and quality metrics during a controlled pilot. We report trade-offs and limitations, not only positive outcomes.",{"id":375,"title":376,"description":377},5,"Can you start with one team?","Yes. A single-squad pilot is our preferred starting point before broader rollout.",{"title":379,"description":380,"cta":170,"microcopy":381},"Make AI Adoption a Practical Engineering Program","Tell us how your teams work today and where AI adoption is stuck. We will help scope a readiness assessment or a controlled pilot with measurable outcomes.","Start with one squad. Keep the governance and decisions in your hands.",1793808599076]