AI Agent Development
AI agents built for how enterprises actually operate.
Cyberstag designs and deploys production-grade AI agents that fit inside your existing systems, security, and compliance requirements.
Most AI pilots never make it to production.
MIT’s Project NANDA found that 95% of enterprise generative AI pilots show no measurable financial return. Cyberstag exists to put your agents in the other 5%, built for your real systems, security review, and operating model from day one.
95%
of enterprise AI pilots deliver zero measurable P&L impact. Source: MIT Project NANDA, 2025.
What we build
Agent architecture and orchestration
Multi-step agents that call your internal tools and APIs safely, with clear failure handling.
Security and governance
Audit trails, permission scoping, and human-in-the-loop controls built in from day one.
Enterprise integration
Native connections to your data warehouse, CRM, ticketing, and identity systems.
Deployment and monitoring
Production observability, evaluation pipelines, and support once the agent is live.
How an engagement runs
Discovery
We map your workflows, systems, and constraints before writing a line of agent logic.
Build
Agents are built against your actual APIs and data, with evaluation from day one.
Deploy
Staged rollout with human-in-the-loop review, audit logging, and access controls.
Scale
Ongoing monitoring, retraining, and support once the agent is live in production.
Built for your stack
Cyberstag agents connect to the systems you already run, including Salesforce, Snowflake, Slack, ServiceNow, and Okta, through their native APIs.
Frequently asked questions
How long does a typical engagement take?
Most first agents reach a production pilot in six to ten weeks, depending on system access and security review timelines.
Do you work with our existing security and compliance requirements?
Yes. Every agent is built with audit logging, permission scoping, and human-in-the-loop controls to pass your existing review process.
Do you build custom models or use existing ones?
We build on established foundation models and focus our engineering on orchestration, integration, and governance, the parts that determine whether an agent survives contact with production.
Ready to put an agent into production?
Talk to our team about where AI agents fit in your operating model.