Matching, investigation, and exception handling — governed, auditable, and embeddable via API.
One pipeline. Three tiers. Each handles the cases it's best suited for — automatically.
AI generates the spec upfront. Execution is deterministic. Enterprises audit specs, not vibes.
Describe the workflow. The AI compiler generates a deterministic JSON specification — the branches, conditions, escalation paths.
The compiled spec runs exactly as written. No improvisation. No hallucinated steps. Inspectable and versionable before any data is touched.
When exceptions need investigation, bounded agents reason with declared tools and iteration caps. Every thought and action captured in the trace.
Getting agents from demo to production requires infrastructure that most teams don't have time to build.
Agents can only use tools explicitly declared in the workflow. They can't discover, invent, or call capabilities they haven't been given. This is architectural, not policy.
Every agent iteration captures what it thought, which tool it chose, the parameters it used, and the result it received. Complete chain of reasoning, queryable and auditable.
Maximum iteration caps prevent runaway costs. Stuck detection identifies when agents loop without progress and triggers recovery — fail, retry with a hint, or escalate to a human.
Not a fallback. Not a safety net bolted on. Agents pause and present full context when confidence is low. The human's decision resumes execution and enters the audit trail.
The agent decides what to do. The spec defines what it's allowed to do.
One reasoning step inside a deterministic pipeline. Match 10,000 invoices, hand 47 exceptions to an agent.
Receives unstructured input, reasons about it, dispatches the right workflow. Intelligent routing without rules.
Coordinates multiple workflows. Decides sequence, synthesizes results, escalates when confidence drops.
Define workflows in JSON or generate from natural language. Register actions once, use everywhere.
Multi-criteria matching engine as a first-class primitive. Exact keys, numeric tolerance, date windows, fuzzy text — structured exceptions that feed directly into investigation.
AI agents that reason within structural constraints. Tool permissioning at the architecture level, not as a policy layer. Bounded iteration with stuck detection and automatic recovery.
AI generates the workflow spec upfront. Execution is deterministic. Auditors inspect the spec, trace every decision, reconstruct reasoning after the fact.
API-first. Multi-tenant by default. SaaS platforms embed Hyphen into their products. Your brand, your customers, our engine.
Invoice-to-payment matching, bank reconciliation, intercompany settlement. Auto-reconcile, AI-investigate, human-review.
Claims-to-policy matching, duplicate detection, coverage verification. Graduated from auto-adjudicate to adjuster review.
Remittance-to-claim matching, denial management, underpayment detection. AI agents that analyze denial codes and recommend appeals.
PO-to-invoice verification, goods receipt reconciliation, vendor compliance. Flag quantity and pricing discrepancies automatically.
Identity verification, sanctions screening, adverse media. Auto-clear low-risk, AI-investigate medium, human-review high.
Vertical SaaS platforms embed Hyphen to add governed agentic operations to their own products via API.
Governed AI agents that reason and act on operational data. See results in days, not quarters.
Most teams go live with their first workflow in under two weeks. We help.