Agents
Orchestrated workflows
- Step-by-step runs inside your authenticated product surfaces
- Interactive example: intake through notification with audit notes
- Link back to use cases as you scope a pilot
AI · Use cases
AI use cases
These are the repeat-heavy steps we most often automate inside live systems—always scoped, measurable, and paired with review where risk demands it.
Built into real workflows—not slide decks
Use cases map to screens your operators already use: applicant portals, admin consoles, and integrations. We scope each automation with metrics, review gates, and rollback paths stakeholders can sign off on.
- Start from one high-volume loop; expand when exceptions and audits look healthy
- Prefer auditable steps over opaque model answers
- Human checkpoints wherever compliance or confidence demands it
Where teams ask for help first
These patterns show up across housing lotteries, intake queues, supplier workflows, and grants—the same orchestration ideas, different rule sets.
Application intake
Guide applicants through required fields, normalize answers, and reduce back-and-forth for missing or inconsistent data.
Eligibility matching
Compare submissions to program rules; flag edge cases for staff instead of hiding variance in averages.
Document handling
Extract structured fields, summarize long attachments, and surface inconsistencies for verification.
Routing and triage
Send work to the right queue, role, or next system step based on rules and context—without manual forwarding.
Communications
Draft status updates and follow-ups in your voice; send through the platform so history stays in one place.
QA and batch checks
Spot outliers, incomplete records, or policy drift across batches—surfaced for review before they become operational surprises.
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Governance
Approach & responsibility
- Explicit scope: what runs automatically vs what needs a reviewer
- Audit trails your operations and security teams can inspect
- Fail-safes: low confidence routes to a person—not a guess
How we roll use cases out
Pilot with clear metrics
Time-to-decision, exception rates, and reviewer load before/after—so automation earns its place with numbers, not narratives.
Exceptions in the open
Low confidence, missing data, and policy edge cases route to people with context—not buried in averages or silent failures.
Governance by design
Scope, logging, and overrides documented up front so security and compliance can inspect what runs in production.
Sectors where our systems run
Affordable housing & lotteries
High-volume application intake
E‑commerce & field operations
Defense & regulatory programs
Nonprofits & grant programs
Public-sector digital delivery
Pick one loop to improve
Bring a workflow that still burns hours per week—we’ll map use cases, review gates, and what “done” looks like in your data.