Crossroads Consulting frames delivery, makes technical decisions and stays hands-on in the code
A company founded by Denis Afrim, Crossroads Consulting drives delivery, contributes directly to the code and structures complex contexts — across front, back, data and infra, with AI as a structured lever to ship faster without sacrificing reliability.
A human-scale company that drives delivery as much as it ships code
Crossroads Consulting supports the scoping, delivery and improvement of web products. From breaking down requirements to shipping to production, the approach stays focused on clarity, quality of execution and concrete value — including in technically or organisationally complex contexts.
Founded by Denis Afrim, the company combines delivery management, hands-on technical leadership and versatility across front, back, data and infra. AI is integrated as a structured tool — reusable skills, tested prompts, explicit guardrails — to move faster without sacrificing reliability.
Four areas of expertise applied to your products
I organise delivery, make architectural decisions and stay hands-on in the code — using AI as a structured tool, not a gadget.
Delivery management
I organise the work, run the rituals and keep the team moving on concrete increments, without unnecessary ceremonies.
- Scoping, prioritisation, clear breakdown
- Useful rituals: daily, planning, demos
- Capacity tracking and fast unblocking
- Direct communication with stakeholders
Hands-on technical leadership
I make architectural decisions, review PRs and contribute directly to the code — not just in diagrams.
- Confident front and back architecture decisions
- Demanding code review and direct mentoring
- Targeted refactoring of fragile areas
- Present in PRs as much as in decisions
Full-stack versatility: front, back, data, infra
I cover the full stack when the need calls for it, without locking into one technology — to avoid blocking the product on team boundaries.
- Front: Vue, Nuxt, React, design systems
- Back: Node.js, APIs, data modelling
- Data: pipelines, observability, quality
- Infra: deployment, CI/CD, environments
AI integrated into processes
I use AI as a structured tool: reusable skills, versioned prompts, explicit guardrails — to gain productivity without sacrificing reliability.
- Reusable skills built into the repo
- Structured, tested, shared prompts
- Guardrails: human review, tests, traceability
- Measurable productivity gains, without drift
Want to see what this looks like on a real product: a product rescue involving two teams, a batch comparison tool with PDF export, data migration, runbooks, structured AI?
Let's talk about a real case See expertise detail and real-world casesLet's talk about your product or need
Delivery management, hands-on technical leadership, full-stack versatility or structured AI: let's discuss the real need behind your product.
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Whether it's to drive a delivery, strengthen a team on the technical side, cover a full stack or frame AI usage, I work in a pragmatic, results-oriented way.