AI-assisted engineering
Pair human architecture and judgment with AI-assisted implementation, documentation, testing, and review through structured project workflows.
AI & ML
Make AI useful in the work that matters.
We connect AI to practical engineering and operating workflows—with people accountable for the decisions and evidence behind the result.
Practical capabilities
Build workflows your team can repeat and review.
Turn research, implementation, and documentation into a defined sequence with ownership, review, and a useful handoff.
Agent orchestration
Compose task-oriented agent workflows with durable execution state, defined roles, handoffs, operating budgets, and human decision points.
Business workflow automation
Connect research, planning, opportunity analysis, document preparation, and review into repeatable processes with clear ownership.
ML-informed security analytics
Apply founder experience in SIEM machine-learning behavior development to anomaly design, detection workflows, and behavior lifecycle management.
Model research & selection
Assess model capabilities, licensing, hardware requirements, and operating constraints. Validate proposed configurations in a scoped pilot before treating research as performance evidence.
Reusable AI skills & knowledge
Turn recurring tasks into reusable instructions, templates, and domain guidance that help teams produce more consistent work.
Work in practice
Put AI assistance inside an engineering process.
The WaterWerks engagement used Bayani Forge to organize AI-assisted engineering around human architecture, review gates, and acceptance criteria. The result was delivered scenario content for a controlled cyber range.
Read the case studyPeople own the result
AI supports implementation and review while people retain design and acceptance authority. Historically deployed advisory, operations, and engineering agent teams inform this work; each new orchestration feature is validated on its own.
Bring us the problem you need to solve.
We’ll start with your goals, constraints, and the evidence needed to call the work complete.
Talk with BayaniCyber