Autonomous agent pipelines bounded by deterministic safety gates.
Deterministic Workflow (Rule-Based)
If Input A happens, execute Step B every single time. Ideal for clean API transfers, rigid database triggers, and straightforward math calculations. Requires zero AI.
AI Agent (Adaptive Execution)
Extracts semantic intent and tabular entities from unstructured human inputs (bills of lading, multi-page vendor invoices, dispatch emails). LLMs are restricted to parsing and transformation; all state mutations are gated by cryptographic checksums and strict database schemas.
8 operational agent jobs
Every agent card details exact permissions, forbidden actions, failure behaviors, and human approval checkpoints.
Document & Email Intake
The Job: Continuously extract structured entities (vendor, invoice #, amounts, due dates, line items) from incoming PDFs and email streams.
Data Entry & Reconciliation
The Job: Perform three-way mathematical and reference matching across purchase orders, warehouse goods received notes, and supplier invoices.
Reporting & Summaries
The Job: Aggregate transactional data across banking, advertising, and order platforms into automated daily/weekly operational briefs.
Inventory & Procurement Follow-ups
The Job: Monitor stock reorder points and automate draft purchase orders and vendor lead-time confirmation emails.
Customer-Operations Triage
The Job: Classify inbound shipping and status inquiries, verify customer identity, and draft accurate status updates from database feeds.
Sales-Ops Hygiene & Research
The Job: Enrich incoming CRM leads with verified company registry data, revenue brackets, and deduplicate contact records.
Monitoring & Anomaly Alerts
The Job: Audit system health, API response latency, and database integrity continuously, alerting engineering teams before outages cascade.
Internal Operations Helpdesk
The Job: Answer staff procedural questions regarding standard operating procedures, leave policies, and system access guidelines.
How an agent is kept safe
Untrusted data is isolated before LLMs touch it
Incoming emails, PDF invoices, and form submissions are treated strictly as untrusted raw strings. They are sanitized, passed through prompt-injection filters, and validated against strict Zod schemas before being processed.
// Zod Schema Boundary Gate
const InvoicePayloadSchema = z.object({
vendorTaxId: z.string().regex(/^[0-9]{9}$/),
invoiceTotal: z.number().positive().max(500000),
lineItemCount: z.number().int().min(1).max(500)
});"Break It" Anomaly Simulator
Select a real-world operational failure mode below to inspect how our deterministic guardrails handle corruptions, attacks, and network failures safely.
When not to use an AI agent
If your data is already clean, structured, and has well-defined database keys, an SQL script or standard cron job is substantially cheaper, significantly faster, and perfectly reliable. Do not add an LLM where math already works.
Transactional payouts, vendor banking adjustments, and treasury movements require cryptographic dual-authorization. Agents prepare staging proposals; human controllers execute the commitment.
If your team does not agree on the current rule for handling an exception, an agent will simply automate your internal confusion. The process must be diagnosed and agreed before code is written.
Ready to diagnose your operational friction?
Schedule a 20-minute operational scoping session directly with our Principal Systems Architect. We evaluate your current transactional volume, assess database readiness, and determine the deterministic architecture required to eliminate your operational bottleneck.