The cost of integrating an LLM with SAP or Salesforce depends far more on scope than on the platform itself, so as of 2026 it is worth treating any number without a defined scope with caution and getting current, project-specific pricing before committing to a budget. A narrow integration, for example a handful of read-only tools covering order status lookups or case summarization with straightforward OAuth authentication, is a much smaller project than one spanning multiple modules, write actions with approval workflows, and a full security and compliance review, and the two can differ by several multiples in both time and cost. Other cost drivers include how well-documented and clean the underlying SAP or Salesforce configuration already is, since heavily customized instances take longer to map correctly, and whether the target model is a commercial API or a self-hosted deployment that also needs its own infrastructure. Most reputable integration partners start with a scoping or discovery phase to size the actual work before quoting a fixed cost, rather than pricing blind. Nanobase AI runs this kind of scoping engagement first so a customer sees a concrete cost estimate tied to a specific, agreed set of tools before the build begins.
Why "how much does an SAP integration cost" has no single answer
Two companies asking about an SAP or Salesforce integration can be describing projects that differ by several multiples in effort, and the platform name alone reveals almost nothing about which one they mean. As of 2026, treat any cost figure quoted without a defined scope with real skepticism, and get current, project-specific pricing before committing to a budget, since published ranges age quickly and rarely reflect a specific company's configuration. Scope, not platform choice, is what actually determines cost, which is why a proper quote should follow a scoping conversation rather than precede one.
Cost drivers ranked by typical impact
| Driver | Effect on cost |
|---|---|
| Read-only vs write-enabled tools | Largest single lever; write access adds approval workflows and validation testing |
| Number and complexity of workflows covered | More distinct business processes means more tools, more testing, more edge cases |
| Configuration cleanliness of the source system | A heavily customized SAP or Salesforce instance takes longer to map correctly |
| Compliance and security review depth | Regulated data or industries add a formal review cycle |
| Commercial API vs self-hosted model | Self-hosted adds infrastructure cost and setup time on top of the integration itself |
Ranking these drivers before a quote is requested is what separates an informed budget conversation from an anchoring exercise.
Read-only versus write-enabled: the biggest cost lever
A narrow integration exposing a handful of read-only lookup tools, order status, case summaries, account history, with standard OAuth authentication is a fundamentally smaller project than one that also writes back to the source system. Write access requires approval workflows, validation against the source system's own business rules, and typically a more thorough security review, since a mistaken or manipulated write can directly affect business data in a way a read-only query cannot. Starting with read-only tools and adding write capability later, once the pattern is proven, is a common and reasonable way to control cost and risk in the same step.
What a proper scoping phase should produce
Before committing to a fixed cost, a scoping or discovery engagement should hand you a concrete basis for that number rather than a rough guess:
- A specific list of tools to be built, each tied to a named business workflow rather than a vague capability.
- A clear read/write designation for each tool, since this is the biggest cost driver and should be decided explicitly, not left implicit.
- An assessment of the source system's current API documentation and configuration state, flagging anything unusually customized that will add time.
- A defined security and compliance review scope, sized to the sensitivity of the data involved rather than applied uniformly regardless of risk.
Frequently asked questions
Is a Salesforce integration typically cheaper than an SAP integration?
Not inherently; the platform itself is a smaller cost factor than the scope of what's being built. A narrow Salesforce integration can cost less than a broad SAP one, or the reverse, depending entirely on how many workflows and how much write access each project actually covers.
Should we get a fixed price before starting a scoping phase?
It's reasonable to ask for a rough range, but a firm, scope-based quote should follow the scoping phase, not precede it, since pricing blind on an unscoped ERP or CRM integration tends to produce numbers that don't survive contact with the real system. Reputable partners generally propose a short discovery engagement first.
Does self-hosting the underlying model change the integration cost significantly?
Yes, since self-hosting adds its own infrastructure setup, GPU sizing, and ongoing operational cost on top of the integration work itself. A commercial API avoids that upfront infrastructure cost but shifts spend to a per-token usage model instead, which is a separate trade-off from the integration's own scope.
How Nanobase AI helps
Nanobase AI runs a scoping engagement first for every SAP or Salesforce integration, so a client sees a concrete cost estimate tied to a specific, agreed set of tools and their read/write designation before the build begins. This pairs with a realistic view of how long an enterprise integration actually takes and with guidance on who should build it if you're weighing an internal build against a partner.
Ready to discuss your project? Contact Nanobase AI or email hello@bumu.tech.