Salesforce Integration
Connecting Salesforce to the systems it must agree with, through APIs and middleware, with sync direction and ownership decided explicitly.
Connect Salesforce to the rest of your estate, and get your data in cleanly.
Salesforce is rarely the only system holding customer information, and the value of a CRM depends on whether it agrees with everything else. Nextherrion builds the integrations that keep it in step — with ownership settled where systems disagree — and handles migration as a verifiable exercise rather than an import run the night before go-live.
Integration with ERP, finance, support and marketing systems, plus profiling, mapping, deduplication and reconciliation for the data itself.
Connecting Salesforce to the systems it must agree with, through APIs and middleware, with sync direction and ownership decided explicitly.
Linking opportunities, orders and invoices so sales and finance work from the same view rather than reconciling two.
Joining campaign, web and support activity to CRM records, so account history is one story rather than several partial ones.
Establishing what the source data actually contains, and mapping it field by field including the cases that do not translate cleanly.
Resolving duplicates and inconsistencies before load, since migrating them faithfully just makes them Salesforce's problem.
Full dry runs at realistic volume, so timing and failures are found in advance rather than during the cutover window.
Proving the migrated data matches the source by counts, totals and sampling — completeness demonstrated rather than assumed.
Visibility into integration health after go-live, so a failing sync is noticed before the two systems have drifted for a month.
The most important question in the design. Two systems both believing they own a customer record is the root of most sync problems, so we settle it explicitly.
Decided by how quickly the other system needs to know. Real-time costs more in complexity and API usage, so it is worth reserving for cases that need it.
Matching rules agreed with the business, applied before load. Automated merging without agreed rules destroys data quietly.
Possible with high-volume integration, which is why limits are part of the design rather than something encountered in production.
Usually, and it is worth deciding how much. Full history costs storage and slows the org, so retention needs and actual usage should decide.
Rehearsal is what prevents it, and a rollback route stays viable until the new state is verified.
AI and Generative AI, agent frameworks, cloud platforms, data tooling and modern application stacks — chosen per problem rather than per preference.















Start with a data-flow review. Most sync problems are ownership problems.