Senior engineers, inside your team
IT staff augmentation services from CodeCones add senior AI, cloud, data and software engineers to your existing team. Specialists work in your repository, tools and ceremonies while your leaders retain roadmap and delivery ownership.
Embedded Engineering Specialists: senior contribution inside your team, with client-owned delivery.
200+
Engineering Resources
75+
AI-Focused Resources
50+
Cloud and DevOps Engineers
IT staff augmentation services are a fit when your team needs senior engineering contribution inside its existing delivery model.
Select the capability gap you need to close. Matching starts with your requirements, stack and team context.
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How they work with your team
Your team keeps the roadmap and delivery decisions while specialists join the working practices that make the product move.
People. Technology. Impact.
Senior specialist depth, enterprise controls and an outcomes-driven way to extend your team.
Cloud Partner Accreditations
Cloud partner accreditations and platform experience across AWS, Azure, and Google Cloud.
Requirements to contribution
A structured path turns a capability need into useful work inside your team without skipping technical, security or collaboration checks.
Vetting and quality controls
The model is designed to reduce hiring lag without reducing the controls that matter when an external specialist joins a critical codebase.
Technical interviews and collaboration review are part of the matching process. The objective is a role fit for the work, not a CV forwarded without context.
Enterprise NDA, managed-device and access-control practices protect project context from the start. Project-specific ownership is defined for the engagement.
Your team keeps normal review and delivery visibility, supported by CodeCones peer review and a named lead who monitors quality and integration throughout.
Shared documentation, team participation and structured knowledge transfer reduce the risk of context living with one individual when the engagement changes.
Embedded proof
Representative examples of the types of outcomes organizations achieve when they embed CodeCones specialists into their delivery teams.
Financial Services
Challenge
A trading platform needed AI-assisted risk classification but could not hire ML engineers fast enough to meet a regulatory deadline.
Contribution
Two embedded ML engineers integrated into the existing team, built and shipped the classification pipeline within the required window, with zero recruitment overhead.
SaaS Platform
Challenge
A growing SaaS company needed to close a cloud architecture skills gap after losing their lead platform engineer to a competitor.
Contribution
An embedded cloud architect joined within five days, stabilised the platform infrastructure, and documented architecture decisions to prevent future knowledge loss.
Healthcare
Challenge
A health-tech team needed AI-powered document extraction for patient intake but had no ML capability internally.
Contribution
An embedded AI engineer integrated into the product squad and delivered a production extraction pipeline meeting clinical-grade accuracy requirements.
Engagement models
Embedded Engineering Specialists extend your team. A Dedicated Product Pod owns a coordinated workstream. Managed Product Engineering owns an agreed product or platform outcome.
Industry expertise
Industry scale and outcomes
Independent research shows the pace of AI adoption and the delivery context in which engineering teams are operating. These figures are third-party findings, not CodeCones client results or guaranteed outcomes.
faster task completion for developers using AI-assisted tooling
McKinsey:Economic Potential of Gen AITools and technology
We provide senior engineers with deep expertise across AI, cloud, full-stack and data, matched to your technical requirements.
Technology follows your environment
We adapt to your chosen platforms and existing environment. The tools matter because they are where your team collaborates, reviews and ships.
Technology selection is guided by project requirements, existing environments and client preferences. This list is representative, not exhaustive.
FAQs
Direct answers about fit, onboarding, quality, ownership and scaling.
People. Technology. Impact.
Tell us which roles, stack and workstream you need to strengthen. We will discuss the right embedded engineering approach while keeping delivery ownership clear.
Outcomes-driven engineering: from discovery to deployment and beyond.
A decision-focused guide to scoping an AI MVP, choosing a practical stack, planning a realistic pilot, controlling risk, and deciding what to do next.
What changes when an organization manages the customer problem instead of treating every interaction as a separate ticket? A single customer issue can span multiple emails, calls, channels, departments, tasks and decisions. When those interactions are handled independently, teams can lose context, ownership can become unclear, and customers may be forced to repeat themselves. In Episode 1 of Beyond the Ticket, Shahzaib Ali, Product Manager at ResolveCX, explains the thinking behind ResolveCX’s case-first philosophy. Rather than making the individual interaction the center of work, ResolveCX is designed around the underlying case — connecting the customer issue with its conversations, people, actions, evidence, ownership and escalations throughout the resolution journey. The distinction matters because Customer Operations should ultimately be measured by more than activity. The question is not simply: “Was the ticket closed?” It is: “Was the customer’s problem actually resolved?” About Beyond the Ticket Beyond the Ticket is ResolveCX’s product-led education series exploring why modern Customer Operations should work differently. Each episode examines a real operational problem, product philosophy, capability or design decision behind ResolveCX — and explains what that thinking changes for organizations and their customers. About ResolveCX ResolveCX is an AI-powered Customer Operations Platform designed to help organizations intelligently manage customer cases, complaints, escalations, problems and incidents through structured workflows, governance, automation and operational intelligence. Its case management model is specifically designed to create a case-first operating record across teams, channels and shifts, helping reduce context reconstruction and rework while improving accountability. What do you think? Should Customer Operations be organized primarily around interactions, or around the underlying customer problem? Connect with ResolveCX Website: https://www.resolvecx.global LinkedIn: https://www.linkedin.com/company/resolvecxglobal X / Twitter: https://x.com/resolvecx Facebook: https://www.facebook.com/resolvecx YouTube: https://www.youtube.com/@resolvecx.global Sales Email: sales@resolvecx.global
A seven-stage, evidence-based framework for designing, validating, releasing, and operating production AI systems.
Resolving an incident restores operations. But when the same failure keeps returning, repeatedly resolving it only treats the symptom. ResolveCX Problem Management Software helps organizations identify recurring patterns across incidents, complaints, and cases, investigate their underlying causes, document known errors and workarounds, implement permanent remediation, and verify that the problem has actually been eliminated. In this video, see how ResolveCX combines structured problem investigations, AI-powered pattern detection, root-cause intelligence, remediation governance, recurrence monitoring, and customer-risk intelligence to help teams move from repeatedly reacting to failures to preventing them from returning. ResolveCX's current Problem Management model connects related incidents, complaints, and cases to structured problem records; supports documented root-cause investigation; maintains known errors and workarounds; tracks remediation with owners, timelines and success criteria; and verifies closure through recurrence monitoring. What You'll Learn • How ResolveCX identifies recurring patterns across incidents, complaints, and cases • How AI clusters related issues and supports root-cause investigation • How teams maintain structured problem records with evidence, findings, ownership, and impact • How Known Errors and documented workarounds help teams resolve recurring incidents faster • How permanent remediation is governed through owners, timelines, responsibilities, and success criteria • How ResolveCX monitors recurrence and verifies remediation before problem closure • How complete audit trails support operational governance and regulatory review • How recurring problems can be connected to affected customers and churn risk • How Problem Management helps reduce repeat incidents and operational effort The platform also surfaces customer exposure within problem investigations, allowing remediation priority to reflect both operational severity and commercial/customer risk. Chapters 00:00 Why Recurring Incidents Become Problems 00:18 Detecting Recurring Patterns 00:35 AI-Powered Root Cause Intelligence 00:53 Root Cause Investigation & Known Errors 01:13 Structured Remediation Planning 01:29 Verification, Recurrence Monitoring & Governance 01:43 Customer Impact & Business Outcomes 01:53 Stop the Problem From Happening Again ------------------------------------------------------------------------------ Learn More 🌐 Explore ResolveCX https://www.resolvecx.global 🔍 Explore ResolveCX Problem Management https://resolvecx.global/problem-management 📚 ResolveCX Knowledge Hub & Resources https://resolvecx.global/knowledge-hub 📅 Book a Demo / Discuss Your Project https://resolvecx.global/contact 📧 Contact ResolveCX sales@resolvecx.global Follow ResolveCX LinkedIn https://www.linkedin.com/company/resolvecxglobal X (Twitter) https://x.com/resolvecx Facebook https://www.facebook.com/resolvecx YouTube https://www.youtube.com/@resolvecx.global ------------------------------------------------------------------------------------ Watch More ResolveCX Product Solutions 🎥 ResolveCX Product Solutions Playlist https://youtube.com/playlist?list=PLNpCdaS562ao&si=jDAEQBGyXOqJLouw About ResolveCX ResolveCX is an AI-native resolution governance platform, built from the ground up around AI rather than adding it to a legacy system, using intelligent classification, routing, summarisation, sentiment analysis, agent assistance, SLA risk detection, and automation to manage complaints, cases, escalations, problems, and incidents from intake through resolution. ResolveCX is the flagship product of CodeCones, an AI-first software development company specializing in intelligent solutions that transform how businesses operate. #ResolveCX #ProblemManagement #ProblemManagementSoftware #RootCauseAnalysis #IncidentManagement #OperationalExcellence #AI #CustomerOperations
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Share your workstream, technical environment and capability gaps. We will discuss how senior embedded engineers could contribute inside your team.
