AI Agents & Agentic Workflows
We design and build agents that use your tools, read your documents, and finish multi-step work. Not a chatbot that answers questions.
Bring us the work. We’ll build the agent that does it.
Consulting and implementation, from first spec to production
We build AI agents that use your tools, read your documents, and carry multi-step work through to a finished result. Cloud-agnostic: they run where your systems already live.
Book a free assessment
Thirty minutes. No charge. No deck.
Start with one process
Tell us about one thing your team does by hand every week — the reporting, the correspondence, the document wrangling. Half an hour later you have a straight answer.
- Whether an agent can finish it end to end
- What building it would actually involve
- An honest no, where that is the answer
Here for the infrastructure side? The AWS practice has its own free assessment.
What we do
We build the agents. We install the pipeline that builds them. And we keep the cloud underneath solid.
AFK Development
Away-from-keyboard development: your team writes the spec and reviews the pull request, and agents implement everything in between. The pipeline we ship with, and install for yours.
How this worksAWS Cloud Infrastructure
Cloud Architecture & DevOps
Complete AWS infrastructure design, implementation, and automation with CI/CD pipelines and Infrastructure as Code.
Security & Monitoring
Comprehensive AWS security implementation and 24/7 monitoring solutions to protect your infrastructure and ensure optimal performance.
Cost Optimization & Support
Ongoing AWS cost management, performance optimization, and comprehensive support to maximize your cloud investment ROI.
Ten years of production AWS, and a free infrastructure assessment to go with it: where the spend actually goes, what is exposed, and what we would change first.
Book an AWS assessmentAFK Development
Humans at both ends. Agents in the middle.
Away-from-keyboard development, stage by stage. Every constraint here exists because of a failure it prevents. That is the whole design.
- 01Human
Spec
Agreement on what to build, before an agent touches anything.
Without it: every later stage compounds the mistake.
- 02Agent
Vertical slices
Work cut into thin end-to-end slices that do not block each other.
Without it: runs drift outside the range the model is reliable in.
- 03Agent
Feedback loop
The runner runs the checks (lint, types, tests, browser E2E) and feeds every failure back until they pass.
Without it: the signal that the code works arrives late: in CI, or from a tester days later.
- 04Agent
Refactor pass
Cleanup gets a phase of its own rather than being assumed.
Without it: models cut corners and the codebase erodes quietly.
- 05Agent
Agentic QA
The user journey driven end to end in a real browser.
Without it: unit tests miss what the user actually meets.
- 06Human
Review
Developer review and business sign-off.
Without it: nothing catches what judgment catches.
One honest constraint: run as many pipelines as your review capacity can absorb, and no more. The bottleneck moves to human judgment. That is where it belongs.
Why Kult.io
Two practices, one team: AI agents that finish real work, and ten years of production AWS.
Claude Certified Architect
AI workflows designed and built by a Claude Certified Architect, not a chatbot bolted onto the tools you already have.
Built to Survive Production
A decade of keeping other people's systems online is why what we build ships with evaluation, logging and alerting from day one, wherever it runs.
Enablement, Not Dependency
Your engineers keep working this way after we go. We set up the standards, the safeguards and the automated checks, then measure what actually shipped rather than who logged in.
Case studies
Numbers from our AI engineering and AWS engagements.
70%
More Development Throughput
An Overnight Development Swarm
Technical plans become issues. Overnight, agents implement them behind checks they cannot skip and a review session that never saw them write the code. On one project, 85% of the code was agent-generated.
Read case study60%
Cost Reduction
AWS Cost Optimization
Enabled a client to achieve a 60% reduction in AWS costs by optimizing their multi-environment infrastructure. We unified services under AWS Organizations, transitioned to on-demand models, and aligned Savings Plans, ensuring sustained cost control.
Read case study99.999%
Availability Achieved
Enterprise Landing Page Reliability
Resolved frequent landing page downtime for a >$5M company, achieving 99.999% availability. We optimized their auto-scaled environment by implementing pre-baked AMIs and AWS CodeDeploy for faster, reliable deployments.
Read case studyTechnologies We Build With
Claude-first for agents. Cloud-agnostic where they run.
AI
Claude
Claude Code
MCP
Agent Skills
AWS
EC2
S3
Lambda
RDS
CloudFront
Route 53
DynamoDB
ECS
EKS
CloudWatch
IAM
VPC
Questions we get
- What does Kult.io do?
- An AI engineering and AWS consultancy in Kraków, working with clients internationally. We design and build AI agents that use your tools, read your documents, and carry multi-step work to a finished result: an agent that acts, not a chatbot that answers. We also install AFK Development inside engineering teams. A second practice has run production AWS for over ten years.
- What is AFK Development?
- Away-from-keyboard development. Humans align on the spec and review the pull request; agents implement everything in between, through thin vertical slices, a feedback loop the agent cannot skip, a refactor pass of its own, and QA in a real browser. It runs in cloud development environments, not on a laptop. On one client engagement, throughput went up 70% with 85% of the code agent-generated.
- What does the free assessment include?
- Thirty minutes, no charge. Bring one process your team does by hand every week. You leave with whether an agent can finish it end to end, what building it would involve, and an honest no where that is the answer.
- Do we need to be on AWS?
- No. Agents run wherever your systems already are. AWS is a separate practice with its own clients and its own free infrastructure assessment.
- Which models and tools do you build with?
- We specialize in Anthropic Claude; the work is led by a Claude Certified Architect. Claude, Claude Code, MCP servers and Agent Skills, and the result is model-portable: Claude is the specialization, not a constraint you inherit.
- How do you know an agent works before it goes live?
- It is evaluated against your real cases before launch and ships with logging and alerting so drift is caught after. That habit comes from a decade of keeping other people’s production systems online.
Tell us what your team keeps doing by hand.
Thirty minutes, no charge. You leave with an honest read on whether it is worth automating.