Policy Enforcement Agent.
An expense review tool combining AI classification, deterministic policy rules and an auditable decision trail.
Team project
AI assistance. Clear policy decisions.
A Kaashify team project. The illustration is a conceptual system view.
Make the work
easier to follow.
Expense reviews need both contextual classification and consistent policy checks. This team project brings those two tasks into a command-line workflow.
A system around
the workflow.
The implementation classifies transactions with an LLM, evaluates deterministic rules and validates the final decision. Triggered policy rules take priority over model suggestions. A rules-only fallback supports operation when the model is unavailable.
- ✓Rule-based expense checks with AI classification
- ✓Decision severity guardrails
- ✓Audit-log inspection and what-if evaluation
- ✓Rules-only fallback when the LLM is unavailable
How the pieces
fit together.
A command-line workflow accepts transaction input, proposes an LLM classification, applies deterministic policy rules and validates the resulting decision. The audit trail and rules-only fallback make the review path explicit.
A team exploring reviewable AI assistance for expense or policy workflows.
Discuss a similar buildA Kaashify team portfolio project. The scope and status described here are specific to this project; no client endorsement or measured business outcome is implied.
Have an idea?
Let’s make it work.
A product to launch. A workflow to fix. A system to connect.
Tell us what you need, and let’s figure out the build.