How Native Bridge works with Salesforce
Practical AI inside Sales Cloud, Service Cloud, and Marketing Cloud, without the Einstein license overspend.
Why Salesforce matters for AI work
Salesforce is the system of record for revenue at most mid-market and enterprise organizations. Every lead, opportunity, and case lives there, which makes it the natural home for AI that scores, routes, and assists the people closing business.
The native AI story (Einstein, now Agentforce) is powerful but carries real license cost and assumes you stay inside Salesforce's models and guardrails. For many teams the better economics come from targeted AI that calls best-fit models, runs on data you already pay to store, and embeds in the workflows reps actually use.
Integration is non-trivial because Salesforce is deeply customizable: Apex triggers, Flow automations, managed packages, and governor limits all shape what's safe to build. Doing it well means respecting the org's architecture and writing to it the way a seasoned Salesforce engineer would.
How Native Bridge integrates Salesforce
Native connections (APIs, webhooks, and server-side events), not third-party glue tools.
Salesforce REST/Bulk APIs for batch and real-time data flow into and out of our models.
Apex triggers and invocable actions so AI scoring runs inside the platform's transaction lifecycle.
Lightning Web Components that surface AI assistance directly in the record pages reps live in.
Flow Builder orchestration to route cases and opportunities based on model output.
Heroku / MuleSoft for heavier inference workloads and cross-system integration where governor limits get in the way.
What we deploy with Salesforce
Salesforce-specific AI use cases we build for clients.
Lead & opportunity scoring
Custom predictive scoring written back to Salesforce fields, prioritizing reps' time on deals most likely to close.
AI-assisted opportunity management
In-record guidance that flags stalled deals, suggests next steps, and drafts follow-ups, improving forecast accuracy.
Agentic case routing
Service Cloud cases triaged and routed by intent and urgency, cutting first-response time and misroutes.
AI proposal generation
Proposals and quotes drafted from opportunity and product data, compressing turnaround from days to minutes.
Sales call analysis
Call transcripts summarized and scored against your sales methodology, with insights logged back to the opportunity.
What we don't do with Salesforce
Clear scope limits, so you know exactly where we fit and where we don't.
We don't sell or manage Salesforce licenses, and we won't push you toward Einstein/Agentforce seats you don't need.
We aren't a full-time managed admin team. We build and hand off, or partner with your existing Salesforce admin/architect.
Common questions about Salesforce + AI
Do you charge for Salesforce integration work separately?
No. The integration is part of delivering the AI capability and is scoped into the engagement, not billed separately.
What if our Salesforce instance is heavily customized?
Expected. We begin by mapping your objects, Apex, Flows, and managed packages, then build within your architecture and governor limits rather than around them.
Do you work with Salesforce's native AI (Einstein/Agentforce) or build custom?
Whichever delivers better outcomes and economics. Where Einstein fits, we configure it; where custom models avoid license overspend or do the job better, we build and integrate them.
Can you migrate us from Salesforce to another CRM, or to it?
We focus on AI and integration rather than CRM migration, but we can advise on data architecture during a move and coordinate with a migration partner.
Commonly paired with Salesforce
The integrations we most often build alongside this one.
Tell us about your Salesforce setup.
Thirty minutes, real answers about what AI can do inside the stack you already run.