Where agents earn their place
- Intake, eligibility, documents, triage, and outbound messages
- Scoped pilots with clear before/after metrics
- Exceptions surfaced for staff—not buried in averages
AI agents
An agent run is a defined sequence inside your product: validate inputs, apply rules, draft outputs, notify the right queue, and log what happened. Operators can see what ran, override when needed, and keep compliance teams in the loop.
Step through a realistic pattern: applicant → system → agent → human review → notification. The audit note shows what we log in production builds.
An AI-assisted workflow pattern.
Profile, income, household, preferences, vouchers, and documents.
Audit note
Logged: input fields used, rules applied, confidence signals, and output drafts. If confidence is low, the system routes to a reviewer instead of guessing.
Each agent run is a defined sequence—validate, match, draft, notify—not an opaque model call. Operators see what ran and why.
Review gates for low confidence, policy-sensitive decisions, or anything that shouldn’t ship without a person.
Inputs, rule versions, model outputs, and human overrides stored so you can reconstruct a decision later.
Sectors where our systems run
Bring a high-volume step that still lives in inboxes or spreadsheets—we’ll map review gates, logging, and a pilot you can measure.