services

AI and software consulting from decision to delivery.

We help teams integrate AI into real processes, improve software delivery, modernize existing systems, and build custom solutions with a clear business purpose.

service map4 areas
01

AI consulting & adoption

02

Claude Code & AI-assisted development

03

Software architecture & delivery process

04

Custom software development

AI

AI consulting & adoption

We help select AI use cases that make business sense, define guardrails, and embed AI into existing workflows without unnecessary risk.

What's included

  • AI adoption strategy & use case prioritization
  • Risk, security, and data assessment
  • LLM integration into internal tools and business processes
  • Evaluations, testing, and AI feature monitoring
  • Team handover and decision documentation
Claude

Claude Code & AI-assisted development

We introduce Claude Code, Codex, and similar tools into the development process so they accelerate work without bypassing quality, review, and ownership.

What's included

  • AI coding workflows for teams
  • Claude Code skills, subagents, and review standards
  • Spec-driven development and clearer task handoff
  • Security rules, code review, and test disciplines
  • Impact measurement without losing control of the codebase
Software

Software architecture & delivery process

We help leadership and teams make technical decisions, reduce delivery friction, and set up a process that better maintains quality.

What's included

  • Architecture review & technical planning
  • Product discovery and development specifications
  • CI/CD, testing, observability, and release process
  • Legacy codebase modernization without stopping development
  • Roadmap of decisions, risks, and trade-offs
Custom

Custom software development

We design and build web, mobile, backend, integrations, internal tools, and automations that solve concrete business problems.

What's included

  • Web applications, dashboards, and internal tools
  • Backend systems, APIs, and integrations
  • Mobile development with Kotlin, Swift, and KMM
  • Automations and modernization of existing systems
  • .NET, TypeScript, React, Go, Python, and other proven stacks
stack

Technology is a tool, not a starting point.

We use proven technologies when they naturally fit the problem, team, and existing codebase. We don't push stacks for marketing.

AI & workflows

Claude CodeCodexLLM evaluationsMulti-agent systemsMCPRAGPrompt rules

Backend & integrations

.NETGoPythonNode.jsPostgreSQLREST APIGraphQLCloud

Frontend & mobile

TypeScriptReactNext.jsKotlinKMMSwiftSwiftUIJetpack Compose

Delivery & quality

GitHub ActionsDockerPlaywrightAutomated testsObservabilityRunbooksGitCI/CD
process

A process that reduces risk before the codebase takes it on.

We work structured enough that decisions are clear, but practical enough that delivery momentum isn't lost.

01

Discovery & technical mapping

We understand the business goal, existing system, team capacity, data, risks, and where AI or a better process can bring real value.

02

Architecture & delivery plan

We define decisions, system boundaries, integrations, quality criteria, and an implementation plan the team can understand and maintain.

03

Implementation & quality assurance

We build iteratively, with code review, automated checks, clear task handoff, and feedback from real usage.

04

Handover & ongoing development

We prepare documentation, runbooks, decisions, and recommendations for continuing development — whether the internal team takes over or we keep working together.

Have a process, codebase, or AI idea that needs grounding?

Send us a brief context. In the first conversation, we can map the problem, risks, and the most useful next step.

Book a call