AI agent development
Agents designed around one clear job, such as triaging tickets, preparing deployments or answering from internal knowledge.
AI agents · AI automation · AI orchestration
AI agents and automation, safe to run in production.
Agentic AI is only useful when it can act on real systems. Integritasec builds AI agents and AI automation that connect models to your tools, with the permissions, approvals and audit trail an operations team needs.
What is included
AI agents & automation, end to end.
AI orchestration
Multi-step and multi-agent workflows with retries, timeouts, human approval steps and clear ownership of each action.
AI automation for operations
AIOps in practice: alert correlation, incident summaries, runbook execution and routine changes handled automatically.
Tool and system integration
Agents connected to your ticketing, repositories, monitoring and internal APIs through narrowly scoped credentials.
Guardrails and audit
Least-privilege access, spending limits, logging of every action and tests that catch regressions before users do.
Runs where you need it
In your cloud account, in a private cloud or fully on-premise, using Claude, other leading models or self-hosted open models.
When to call
Signs it is time.
- A promising AI demo that never reached production
- Engineers lose hours to repetitive operational work
- Security will not approve an agent with broad access
- Nobody can explain what an AI workflow did last night
- AI spending is growing with no visibility
Tools in daily use
- Claude
- Open models
- Kubernetes
- GitLab CI
- Kafka
- PostgreSQL
- Prometheus
- Grafana
How it works
Start with a short assessment, continue with a fixed-scope project, or keep a set number of days each month. See ways to work together.
Related guides
Questions
Common questions.
What is an AI agent?
An AI agent is a language model that can take actions, not only answer questions. It plans steps, calls tools such as APIs, databases or scripts, checks the results and continues until the task is done.
What is AI orchestration?
AI orchestration coordinates models, agents, tools and people in one workflow: which step runs when, what happens on failure, and where a human must approve before anything changes.
Is it safe to give AI agents access to production systems?
It can be, with the same controls you would give a new engineer: limited permissions, approval for risky actions, full logging and a way to switch it off. Those controls are built in from the start.
Related services
Book a call
Talk it through. Thirty minutes, no slides.
Bring the problem as it is. You will leave with a clear view of what it would take to fix.