VERDUONA
THE OPERATOR COMPANY — POWERED BY KRALIKIWe run it for you.
Verduona delivers business outcomes — compliance, communications, decisions — as a service: agents do the work, named humans hold final responsibility, and every step leaves evidence.
Our own company runs on Kraliki. Yours can buy the output — or own the factory at kraliki.com.
Live scope
Audit
Map workflow value, data risk, security questions, and the safest first pilot.
Workshop
Train business operators on agents, orchestration, voice, approvals, and realistic AI limits.
Sprint
Deliver one narrow workflow with evidence, acceptance criteria, and human oversight.
Operate
Verduona runs the workflow as a managed service — approvals, evidence, and escalation stay visible; your named people keep final control.
Software stack
Powered by Kraliki. Proven on ourselves.
We run our own company on the Kraliki stack — AgentJack as the interface, Orbit as the control tower, modules like ComCenter, BOZP, and CouncilNow doing the work. The same stack delivers your outcomes. Want to own it instead? That is Kraliki Server.
CouncilNow
Structured councils for decisions, audits, and expert reports that need a clear output instead of another meeting.
OpenAgentJack
The operator and runtime layer for agentic workflows, local execution, evidence, approvals, and repeatable work.
OpenKraliki
The product family behind knowledge, workflow, operator, and implementation surfaces.
OpenConsultant enablement
Train business consultants to sell and deliver practical AI adoption with our evidence-first method.
OpenBOZP Evidence Assistant
Synthetic-demo-first workspace for BOZP/PO, ADR, and radiation-protection evidence prepared for qualified human review — not self-serve compliance certification.
OpenImplementation sequence
Start where adoption usually fails.
Audit risk and opportunity
Map workflows, data, security boundaries, regulatory pressure, and where AI could actually save time.
Train the humans
Give managers, consultants, and operators practical AI use patterns before asking them to trust new systems.
Implement one pilot
Build one narrow workflow with acceptance criteria, evidence, escalation, and a maintenance path.
Operate and compound
Review results, harden the process, decide what to productize, and expand only where the proof is real.
Offers
Buy the outcome. Or start small.
Entry offers get you moving: audit, training, one implemented workflow. The destination is Managed AI Ops — your operation run for you, agent-first, with your named people in final control.
AI Implementation Audit
A fixed-scope review of where AI helps, where it creates risk, and which workflow should be piloted first.
- Workflow and data-risk map
- Security and regulation questions
- First pilot recommendation
AI Operator Workshop
Teach managers, operators, and consultants how agents, orchestration, voice, approvals, and human oversight work in practice.
- Executive and operator training
- Consultant sales and delivery method
- Materials, practice, and follow-up
Managed AI operations
We build the workflow, then keep running it for you as a service: agents execute, evidence accumulates, escalation stays visible, and a named human owns the outcome.
- Workflow shipped, then operated for you
- Agent-first execution on the Kraliki stack
- Evidence, approvals, named-human responsibility
Point of view
The market does not have a stable AI implementation recipe yet.
Large vendors often sell the wrong abstraction: a generic copilot, a chatbot, or a platform before the business workflow is understood.
Verduona stays close to the technical edge, but the work is grounded in customer economics, industry rules, security, and whether employees can actually use the system.
What we bring
A practical stack and operating method: CouncilNow for structured decisions, AgentJack for agent execution, Kraliki for productized workflows, and human supervision where the system is not yet proven.
- Security and regulatory risk mapped before rollout
- Training that reduces employee fear instead of increasing it
- Evidence ledger for what works, what fails, and what should be repeated
First step
Start with one AI Implementation Audit.
Send company context, industry, current AI use, and where people are stuck. We will define the safest first pilot, workshop path, and implementation sequence.