Connect agents to your systems of record
Mainframes, AS/400, and decades-old ERPs run the business — and they have no clean API. We give agents a safe, observable path into the systems that matter, without ripping anything out.
- SOAP, EDI, ODBC, terminal & RPA bridges
- Idempotent, validated writes
- Approval gates on high-impact actions
- Full request & decision lineage
However your legacy system exposes itself, we adapt
There is no single right connector for a 30-year-old platform. We meet the system where it is and present one clean action layer to the agent.
Terminal & screen bridges
Drive 5250/3270 green-screen sessions or thick-client UIs through scripted, observable transactions when no service interface exists.
Batch, EDI & flat files
Hook into the fixed-width, X12/EDIFACT, and SFTP exchanges that legacy ERPs already trust — agents produce and consume them natively.
SOAP & RPC services
Wrap WSDL-defined SOAP, MQ, and RPC endpoints in typed tools so the agent calls a clean contract instead of brittle XML.
Read replicas & CDC
Stream changes off the system of record with change-data-capture into a queryable store the agent can read without loading the source.
ERP & CRM connectors
Map SAP, Oracle, JD Edwards, Dynamics, and Salesforce objects to agent-ready actions with field-level validation.
Custom adapters
When nothing off-the-shelf fits, we build the adapter — purpose-fit pipelines that turn an opaque system into a governed API.
Every write is guarded, typed, and replayable
The danger with agents and legacy systems isn't reads — it's writes. A bad mutation in a system of record can post a wrong journal entry, double-ship an order, or close a ticket that should stay open. So we never let the model call the system directly.
Instead, intent flows through an action layer: the agent proposes a structured action, the layer validates it against a schema, attaches an idempotency key, checks it against policy, and only then commits. High-impact actions pause for human approval. Every step is recorded — inputs, outputs, and the reasoning — so any decision can be audited or replayed.
- Schema-validated, idempotent mutations
- Approval gates by risk threshold
- Circuit breakers & durable retry queues
- End-to-end lineage for every action
From opaque system to governed action layer
A low-risk path that proves value on reads before any write touches production.
Map
We inventory the transactions, data contracts, batch jobs, and change windows that define your system of record.
Wrap
We build the read path first — connectors and a typed action layer — and validate it against real records in a sandbox.
Guard
We add write actions behind validation, idempotency, approval gates, and circuit breakers, then dry-run them.
Observe
We ship to production with full lineage, alerting, and dashboards so every agent action is visible and reversible.
Direct model access vs. a governed action layer
Why we never point a raw LLM at a system of record.
| Model calls the system directly | Agent through our action layer | |
|---|---|---|
| Write safety | Free-form, unvalidated calls | Schema-checked, idempotent writes |
| Failure handling | Hangs or retries blindly | Backoff, circuit breakers, durable queue |
| Oversight | No checkpoint | Approval gates by risk threshold |
| Auditability | Opaque prompts | Full request & decision lineage |
| Change control | Bypasses your process | Respects freeze windows & batch flow |
Related integration capabilities
Legacy integration rarely stands alone — here's where it connects.
Frequently asked questions
Our system of record has no real API. How do agents talk to it?
We wrap it. Depending on the platform we use whatever the system actually exposes — SOAP, ODBC/JDBC, flat-file and EDI exchanges, screen-scraped 5250/3270 terminal sessions, or an RPA bridge — and put a typed action layer in front. The agent never touches green-screen quirks; it calls clean, validated tools.
How do you stop an agent from corrupting a system of record?
Writes go through an action layer with schema validation, idempotency keys, and configurable approval gates. High-impact mutations (posting a journal entry, releasing a shipment) can require human sign-off, and every call is logged with the full request, response, and decision context for replay.
Can you work within a mainframe change window and freeze policy?
Yes. We treat the system of record as read-mostly and route mutations through your existing batch jobs, queues, or middleware where required. Nothing bypasses your change-control process; the agent fits the operational envelope you already enforce.
What happens when the legacy system is down or slow?
The integration layer handles timeouts, retries with backoff, circuit breakers, and a durable queue so in-flight work survives an outage. Agents degrade gracefully — they pause writes, surface the failure, and resume without duplicating actions when the system returns.
Bring the system everyone's afraid to touch.
One working session to map your system of record and a safe, observable path for agents to act inside it.