Insight is useless if someone still has to rekey it into the ERP. Data Semantics connects your ERP, CRM, core banking and industry systems so data flows both ways, and gives AI agents safe, audited ways to post transactions and update records.
Systems today
SAP & OracleDynamics 365SalesforceCore bankingYardi & OPERAIntegration layer
Contract-tested on every change
Built on
Azure Integration ServicesAPI ManagementService Bus & Event GridNative system APIsData Semantics builds integrations and APIs for SAP, Oracle, Dynamics 365, Salesforce, core banking and industry systems on Azure Integration Services, Power Platform and native system APIs. We also build the tools AI agents use to act, so their decisions are written back to systems of record with full audit trails. AI helps map fields, generate code and tests, and monitor messages in production.
Most integrations were built to copy data overnight into a warehouse, or to move one file between two systems. AI agents need more: live, secure ways to read records and post transactions, with validation and an audit trail. One-off scripts between pairs of systems can’t give them that.
Designed as a managed layer, not a tangle of one-off scripts.
Orders, invoices, customers, suppliers and payments kept in step across systems.
Secure, documented APIs for apps, partners and agents.
Systems react as things happen, not on a nightly batch.
Safe tools that let AI agents post transactions and update records within their permissions.
Golden records for customers, suppliers and products distributed to every system that needs them.
Every message tracked, failures retried or escalated, before the business notices.
AI takes on mapping, coding and test writing. Engineers design the architecture, own security and review every interface.
AI maps fields between systems using our library of ERP, CRM and core banking mappings.
You get: mappings in days
Checked by: integration engineers
AI drafts integration flows, API definitions and transformation code from approved mappings.
You get: less hand-written code
Checked by: engineers review every interface
Tests are written for every interface, so changes on either side are caught early.
You get: upgrades that don’t break things
Checked by: engineers run them in CI/CD
Every message is tracked end to end, with delays, failures and unusual volumes flagged.
You get: failures seen first
Checked by: our support team
Safe failed messages are retried automatically; the rest are escalated with context.
You get: most failures self-heal
Checked by: engineers handle escalations
AI keeps an up-to-date map of every interface, owner and data flow.
You get: know what connects to what
Checked by: architects review
Tell us which systems need to talk. We’ll show you how we would connect them, and what AI agents could write back.
Point-to-point integrations each translate fields their own way, so a customer or an invoice means something slightly different in every flow. We map every integration to your ontology once, so all systems, and the AI agents acting in them, exchange the same meaning.
Prove the pattern on one high-value flow, then move the rest onto it.
We map your interfaces, find the manual re-entry and the fragile connections, and design the target layer.
We build the integration layer flow by flow, then run and support it.
Purchase orders from corporates and tour operators turned into OPERA reservations and invoices, with receipts allocated and posted back to the ERP.
Core banking data mapped from iMAL to Temenos T24 and served through analytical APIs and downstream integrations across the bank.
About enterprise integration
An AI agent can only finish work if it can read the right records and post the result back to the system of record. Data Semantics builds the tools agents use to do that, with validation, least-privilege access and an audit trail on every action.
Yes, step by step. Data Semantics maps what exists, designs a managed layer and moves the highest-value and most fragile flows first, without a big-bang cutover.
Systems and platforms
Systems: SAP, Oracle Fusion and EBS, Microsoft Dynamics 365 and AX, NetSuite, JD Edwards, PeopleSoft, Salesforce, Temenos and other core banking platforms, and industry systems such as Yardi and Opera. Platforms: mostly Azure Integration Services, including Logic Apps, API Management, Service Bus, Event Grid and Functions, plus Power Automate for lighter flows and each system’s native APIs.
Yes. For a UAE hotel group, Data Semantics turns purchase orders from corporates and tour operators into OPERA reservations and invoices, then allocates receipts and posts them back to the ERP.
Yes. Data Semantics designs, secures and publishes APIs through Azure API Management, with documentation, throttling and usage analytics.
Safety and reliability
Through purpose-built tools with least-privilege access: each tool validates the transaction, respects the agent’s limits and logs every action. Anything outside its permissions goes to a person.
The Model Context Protocol (MCP) is an open standard that lets AI assistants such as Microsoft Copilot, Claude and ChatGPT use a system’s tools. Data Semantics has built MCP servers for Serina and Zebo and can expose your own systems the same way, with the same least-privilege controls and audit trail.
Every interface has contract tests that run whenever either side changes, plus end-to-end monitoring in production.
Getting started
Data Semantics runs the integration assessment as a fixed-price engagement that takes weeks, not months. Delivery then proceeds flow by flow, with an optional monthly support service once integrations are live.
Yes. Data Semantics monitor every message, retry or escalate failures and support the integration layer under agreed service levels.
Show us the flow. We’ll connect it, test it and make sure every transaction lands where it belongs, with a full audit trail.
