Product engineering covers the full lifecycle of a software product: requirements analysis and technical scoping, architecture design, UI/UX, development, quality assurance, release, and post-launch support. Where the product needs it, the same team covers data engineering, AI and machine learning components, and system integrations. You get one team accountable for the product rather than separate vendors for design, build, and testing.

Team extension and dedicated teams give you engineers who work inside your process and report to your managers. Product engineering means Forbytes owns delivery: the technical decisions, the plan, the QA, and the release, with our project manager running it. Choose extension when you have technical leadership and need capacity. Choose product engineering when you need the product built and someone accountable for it.

Yes, we can. We start with a code and architecture audit that reports on structure, test coverage, dependencies, security issues, and technical debt, with the effort to fix each one. Then we agree what gets fixed before new features start and what can wait. Taking over an undocumented codebase adds a handover period, and we plan it explicitly instead of discovering it later.

Our core stacks are Microsoft .NET, Node.js, PHP, React, and React Native, with Magento for commerce platforms. Cloud work runs on Azure, AWS, and Google Cloud. We pick the stack against your case, your existing systems, and your hiring market, since a stack nobody local can support becomes your problem after we finish, not ours.

Support continues under an agreed model: bug fixing, dependency and security updates, monitoring, and a capacity reserve for new features. Some clients keep the full team, others move to a smaller maintenance setup and scale back up for releases. Either way, the code, documentation, and infrastructure stay with you, so switching to your own team stays a real option.

Product discovery covers everything between the idea and the first line of production code. Our team runs market and competitor analysis, user and stakeholder interviews, solution ideation workshops, technical feasibility assessment, wireframing and clickable prototyping, and roadmap and cost estimation.

You receive a software requirements specification with acceptance criteria, a prototype, a solution architecture with the integration map, a prioritized backlog, a risk log, and an estimate per release.

Check three things in your document.

• Does every requirement have an acceptance criterion?
• Does the integration list name the systems and their API versions?
• Does the estimate state what it assumes?

If two of the three are missing, the specification will not survive a fixed-price negotiation, and the gaps come back later as change requests. If all three are there, ask us for a scope review instead of a full discovery.

You save the development budget, which is the point. In practice a flat no is rare. The usual outcome is a smaller first release, a different user segment, or a build-versus-buy answer that points to an existing product. Either way you get the recommendation in writing with the research behind it, so the decision is yours to make and defend.

The documentation belongs to you. Many clients continue with Forbytes, since the analysts and architects who wrote the specification already know the product. Others take the package to their in-house team or run a vendor tender with it. Comparable quotes are one of the more useful side effects of a documented scope.

Expect stakeholder interviews, two or three workshops, and review sessions on each deliverable. Product owners and technical leads carry most of that load, while other stakeholders join once or twice. The single thing that speeds it up is naming one person on your side who can make decisions. Without that, every workshop ends in a follow-up, and the timeline stretches for reasons that have nothing to do with the work.

Our IT consulting covers six areas: IT solutions consulting and architecture strategy, advisory for software startups, security consulting, cloud migration advisory, digital transformation planning, and legacy solution renovation. A typical engagement starts with an audit of your systems and processes and ends with a documented roadmap: findings, target architecture, prioritized steps, required resources, and cost estimates per step.

Pricing follows the scope: how many systems get audited, whether security and compliance are included, and whether you need implementation support after the roadmap. We quote after the first call, because a number given before we know your systems is a guess in either direction. The initial call takes about 30 minutes, costs nothing, and ends with a fixed-scope quote you approve before any work starts. The roadmap then prices the implementation separately.

Yes, and this is a common setup. An in-house team knows the system best and has the least distance from it, which makes some problems hard to see and some decisions hard to raise. External consultants audit the architecture, benchmark practices against how comparable systems are built, and put the trade-offs in writing. Your team keeps ownership and executes the plan.

Only when it fits. The roadmap is written so any competent team can execute it, and several clients run it in-house or through a vendor tender. Where Forbytes is the right choice, we say so with a scope and a price you can compare against other quotes. An audit that always ends in a sales pitch is not worth paying for.

Yes. Both work as standalone engagements. A cloud migration advisory covers infrastructure audit, provider and service selection, target architecture, a migration sequence, and a cost model for running the system after the move. A security review covers your infrastructure, application layer, access management, and data handling practices, then delivers ranked findings with a remediation plan.

Our digital transformation covers six areas: business process automation, system and ERP integration, cloud migration and infrastructure, data analytics and reporting, customer experience platforms, and security hardening across the new setup. A program starts with a process and systems assessment and delivers in stages, so each release replaces a specific piece of manual work rather than waiting for one large launch.

IT consulting ends with a decision: an audit, a documented roadmap, and costed priorities you can hand to any team. Digital transformation is the execution of that plan, where Forbytes builds the automations, integrations, and platform changes and rolls them out with your people. Many clients start with consulting and continue into transformation. Both work as standalone engagements.

Usually not, and replacing everything at once is the most expensive way to transform. In most projects the existing ERP, PoS, or e-commerce platform stays and gets connected properly, with automation layered on top. Full replacement makes sense when the platform is unsupported, when licensing costs exceed the rebuild, or when the vendor blocks the integrations your business needs. We say which case applies after the assessment.

Changes go out in staged releases against a defined rollback point. Integrations run in parallel with existing processes until the data matches on both sides. Teams get trained before their workflow changes, not after. The sequence in the roadmap is built around your low season and your peak load, and this is one of the first things we ask about.

We agree the metrics before development starts, and they are operational, not abstract: hours of manual work removed, order processing time, error rates, reporting lag, system uptime under peak load. Those numbers get baselined during the assessment, so the comparison after each release is against your real starting point.

That’s exactly what we do. We run proofs-of-concept and prototypes to test technical feasibility and business impact. A spike takes 2-4 weeks. We’ll tell you if the idea works in your environment, what it costs, and what ROI looks like.

We assess your data foundation upfront. If it’s weak, we fix it first. This might mean redesigning pipelines, improving data quality, or restructuring your data architecture. Skipping this step causes most AI projects to fail.

Pricing depends on scope and duration. A feasibility assessment runs 2-4 weeks. Full implementation engagements range from 3-12 months. We tailor pricing to your budget and ROI expectations. Most clients recover costs within the first year.

AI consulting guides you from strategy through deployment. We help you identify where AI delivers business value, build a roadmap, and implement it in your environment. We cover everything from planning to production handoff.

We focus on practical, measurable outcomes. Not buzzwords. We identify which AI applications actually impact your business, build solutions that scale in production, and establish governance so AI stays trustworthy and compliant.

You avoid costly mistakes. Our experience across 60+ projects means we know which approaches work and which don’t. We speed your time to value, reduce implementation risk, and ensure your AI stays responsible and compliant from day one.