Repetitive work draining the team
Hours of manual work on tasks that can be standardized and automated.
Solutions
Faster, smarter processes
Automation and AI
We automate IT processes and deploy AI agents with governance, traceability and human oversight.
- ISO/IEC 42001
- NIST AI RMF
What we solve
Scattered automations
Scripts without version control, tests or an owner, that nobody dares to touch.
AI pilots that never reach production
Proofs of concept without the data, permissions or controls to run for real.
AI without governance
Agents and models in use with no inventory, no risk assessment and no record of their decisions.
What we do
Value × Complexity prioritization
Our framework to define, classify and prioritize the automation backlog.
Automation with Ansible
Idempotent, auditable and tested playbooks, integrated with change control.
Container platforms
Deployment and operation of workloads on Red Hat OpenShift.
AI agents for operations
Monitoring, triage, rightsizing, architecture and documentation agents, among others, built on models such as Anthropic's.
Autonomy levels
Each agent acts only with the autonomy its track record and the impact of its actions justify.
AI governance
Inventory, risk assessment and controls aligned with ISO/IEC 42001 and the NIST AI RMF.
Technologies
Ansible
Apache Airflow
Red Hat OpenShift
Anthropic
How we work
- Assessment
We map processes and automation candidates and score them by value and complexity.
- Roadmap
We start with quick wins and plan the strategic bets.
- Implementation
We build automations and agents with tests, controls and a decision log.
- Operation and improvement
We measure hours freed, errors avoided and agent accuracy, and re-prioritize every quarter.
Related insights
Value × Complexity: how we prioritize what to automate
An automation backlog ordered by whoever pushes hardest wastes capacity. Here is how our Value × Complexity framework works: define, classify and prioritize with two axes and four quadrants.
AI agents in IT operations: where they work today
What an AI agent is, which operations tasks it adds value to today, where it is still risky, and what you need in place before putting it to work.
Ansible in regulated environments: idempotency, inventories and change control
How to use Ansible in regulated organizations so every run is repeatable and traceable: idempotency as evidence, per-environment inventories, secrets kept out of the repository and changes tied to their record.
Shall we talk about your operation?
Request an assessment