Connect any core system to any other, in weeks AI agents build each connection
- Read the API142 endpoints, OAuth through SAP BTP, limits noted
- Mapped the fields31 fields, 3 for your team to confirm
- Wrote and proved itPlain code, 40 of 40 sample records match
- Running as code1,284 orders today, no errors, no AI in the path
Every AI project stalls on the systems it needs Connecting them takes months, and the agent waits
RFC and BAPI calls, IDocs, and OData APIs, and S/4HANA retires some of the old ones.
Every integration shares one daily allowance, so a careless one starves the rest.
100,000API calls a day to start, on Enterprise EditionAn upgrade renames one field, and orders stop flowing until someone notices.
Most of an agent's timeline goes into reaching the systems, not into the agent.
Figure: Salesforce Developer documentation, API request limits.
Agents build the connection, and it runs as code An agent does each stage, and a person signs off before the next
Paste a link to the API, or to its docs
The agent reads every endpoint, how to sign in, and the limits, for any system with an API, old or new.
Your architect confirms which system owns the data| Endpoint | Method | What it does |
|---|---|---|
| A_SalesOrder | GET | Read sales orders |
| A_SalesOrder | POST | Create a sales order |
| A_SalesOrderItem | POST | Add a line to an order |
| A_SalesOrderHeaderPartner | GET | Who is sold to and shipped to |
| A_SalesOrderScheduleLine | GET | Confirmed delivery dates |
Every field matched, in your business terms
It maps each field from one system to the other and flags the ones it can't be sure about.
Your team confirms the flagged fields| Salesforce | SAP | Status |
|---|---|---|
| Opportunity.AccountId | SoldToParty | Mapped |
| Opportunity.Amount | TotalNetAmount | Mapped |
| OpportunityLineItem.ProductCode | Material | Mapped |
| Opportunity.CloseDate | RequestedDeliveryDate | Confirm |
| Account.ShippingAddress | ShipToParty | Confirm |
The connection is written as plain code, then proved
The agents write code your engineers can read, then run sample records through it in a sandbox and check every result.
One mismatch stops the release| Salesforce | SAP | Amount | |
|---|---|---|---|
| OPP-20931 | SO 4100877 | $48,200 | Match |
| OPP-20944 | SO 4100878 | $12,640 | Match |
| OPP-20951 | SO 4100879 | $7,915 | Match |
| OPP-20960 | SO 4100880 | $131,000 | Match |
It runs as code, and an agent watches it
No AI sits in the path of your data. An agent watches every run and drafts a fix when an upgrade changes a field.
An engineer approves every fix| Run | Moved | Status |
|---|---|---|
| 14:00 | 212 orders | Done |
| 13:00 | 198 orders | Done |
| 12:00 | 0 orders | Field changed |
| 11:00 | 176 orders | Done |
Every system you run, connected to every other And all of them to your control plane, where we build agents and portals
Then we build the agents that use the connections Each connection becomes a tool an agent can use, and a person approves what matters
The invoice bills 1,200 units. The purchase order and the goods receipt in SAP say 1,150, so the gap is $3,410.
Ask the supplier agent if a second delivery is on the way.
A second shipment of 50 units is booked for 16 October. I suggest paying for 1,150 now and holding the rest until it arrives.
The supplier confirmed it. Approve the split payment.
Built for SAP's 2026 rules and Salesforce's limits So nothing we build gets throttled or switched off
No unpublished calls, which SAP's April 2026 API policy forbids.
Agents write the connection, and it runs as fixed, tested code, the kind SAP's policy allows.
Calls batched and scheduled so every integration keeps its share.
It runs in your account, and every run is logged and watched.
Bring us one integration that's stuck
We'll build it with you in two weeks, and you keep it either way.