AI and API integration so agents have reliable systems to work with
Connecting CRM, ERP, commerce and finance systems so data moves cleanly and agents have something reliable to work with.
Typical balance
40 human : 60 AI
Hybrid. Varies by engagement.
Your people keep deciding the system of record, data ownership and access and cutover planning.
AI takes on field mapping and transformation, sync monitoring and error triage.
What is API and system integration?
API and system integration connects business systems such as CRM, ERP, ecommerce and finance so data moves between them automatically and consistently. Clean integration is also what makes AI agents reliable, because they depend on accurate data from every system they touch.
Also known as systems integration, API development, CRM integration, ERP integration and data integration
Who needs API and system integration?
Companies where staff re-key data between systems, where the same customer exists in several versions, or where reports disagree with each other.
A good fit when: the same customer exists in five systems with five different spellings.
How API and system integration works
Map
We map the systems, the data each holds and which one is the source of truth.
Design
The integration architecture is designed for reliability and change.
Build
APIs and syncs are built, with data cleaned and migrated where needed.
Monitor
Integrations are monitored so failures are caught before they affect customers.
What you get
- Integration architecture
- API development
- Data sync and migration
- Monitoring
How long does API and system integration take?
A single integration in two to four weeks; broader programs take longer.
Common questions about API and system integration
What is an API integration?
An API integration lets two software systems exchange data automatically, so information entered in one appears correctly in the other without manual work.
What is a system of record?
The one system treated as the authoritative source for a type of data, such as the CRM for customer details. Deciding this avoids conflicting versions.
Why do AI projects need good integration?
AI agents act on data from your systems. If that data is incomplete or inconsistent, their decisions will be too, so integration often comes before automation.
