ICM agentic workflow design
We design agentic workflows with Interpretable Context Methodology. Teams can inspect the context behind a recommendation, understand the path it took, and see where a person still owns the decision.
Vadrel / Enterprise AI systems
Make AI answer to the way your business works.
Vadrel helps enterprise leaders connect people, knowledge, and workflows in governed systems that teams can trust, use, and own.
Start a conversationStart with the workflow, then choose the tool.Keep the source close to the decision.Make ownership clear when work changes hands.
Point of view
AI earns its place when it fits the way the organization works.
The hard part is rarely the model. We design the less visible parts that make a system dependable: how requests enter, where context comes from, who exercises judgment, and how new knowledge returns to the business.
What we build
Five disciplines that have to work together.
Enterprise knowledge architecture
We turn scattered files, decisions, and expertise into a governed knowledge system that people and agents can use without losing the source.
AI governance and operations
We establish permissions, evaluations, audit trails, secure execution, and cost controls that keep AI operations dependable.
AI education and adoption
We train people with role-specific instruction, practical guidance, and support that turns access into confident use.
Strategy and delivery
We find the operating opportunity, design the intervention, and carry it from working prototype to a system the team can own.
In practice
The work usually starts with a question.
These illustrative scenarios show the decisions involved, not claims about completed client work.
Illustrative engagement
Enterprise portfolio operations
From project request to informed team assembly
How can an agent gather organizational context and surface the right people and precedent without making staffing or priority decisions on its own?
Illustrative engagement
Enterprise knowledge operations
A second brain for institutional knowledge
How should knowledge be organized so people and agents can retrieve trusted context while preserving provenance, permissions, and uncertainty?
Working commitments
What we hold ourselves to.
Make the decision traceable
Every recommendation, handoff, and automated action has an owner and a path back to the source.
The team can take it forward
Delivery includes the operating practices, documentation, and education needed for internal ownership.
Test the work where it will be used
We measure whether the workflow improved in real conditions, not whether a prototype looked impressive in a demo.
A useful first conversation