Data & Integration
A governed data foundation is why Salesforce AI works.
Most enterprise AI fails on data and governance — not models. So we engineer the data foundation first: we profile, harmonize and govern your data, then connect ERPs, SaaS tools and warehouses with MuleSoft and Data 360. The result is one real-time, auditable layer your agents can actually reason over.
ERP
SaaS
Warehouse
Governed data foundation
Data 360 · zero-copy · real-time · audited
One layer your agents can actually reason over.
Why the foundation comes first
Your AI inherits whatever data you give it.
When data is trapped and contradictory across ERPs, SaaS tools and warehouses, decisions slow down, reports disagree, and any agent built on top of it inherits the mess — that is the data-and-governance gap most enterprise AI fails on. We approach it as engineers: map the model, profile quality, fix the things in the way, and harmonize to AI-ready profiles. The foundation is the work; the AI is the payoff.
Map & model
We map the data model across your estate and the relationships that matter, so an agent reasons over an accurate picture of your business — not a fragment.
Profile quality
We profile completeness, duplicates and conformance, then report a data-quality baseline you keep — the starting line for every agent go/no-go.
Govern the boundary
We establish the permission, sharing and audit boundary before anything ships, so the AI built on this foundation is governed from day one.
Where the trust line is
Data moves by design. Your AI stays in-boundary.
This is the page where we draw the line precisely, because data and integration are exactly where it matters. We don't make the indefensible claim that nothing ever moves — moving and federating data is the job. We make the defensible one: the AI and its reasoning stay inside Salesforce's governed trust boundary.
The trust principle
Your AI runs inside Salesforce's trust boundary. We don't pipe your data out to third-party AI tools — Agentforce operates on your governed Salesforce data under the Einstein Trust Layer, with your permissions, sharing rules, and audit trail.
The honest caveat
Integration (MuleSoft, Data 360) moves and federates data through governed, audited connectors — by design and under your control. What stays on-platform is your AI and its reasoning.
Reasoning stays on-platform
Agentforce reasons inside Salesforce's boundary under the Einstein Trust Layer, not shipped out to an external AI tool.
Zero-copy where it fits
With Data 360 we query Snowflake, Databricks and your warehouse in place and harmonize, rather than duplicate.
Governed, audited movement
Where data does move, it moves through connectors with permissions, lineage and an audit trail you can review.
Under your control
Sharing rules and a documented permission boundary mean the flow is yours to inspect, scope and revoke.
How we choose the tool
Tool-agnostic by design.
As engineers, we let the evidence pick the tool — the recommendation follows your problem, not a vendor agenda. We choose the lighter path when it fits and the deeper one when it's warranted, and when off-the-shelf doesn't fit we build the integration in code. One constant: however we connect your systems, the AI built on top reasons inside Salesforce's governed boundary.
| Data 360 | MuleSoft | Synatic | |
|---|---|---|---|
| Best for | Querying the warehouse in place and harmonizing to AI-ready profiles | Reusable, API-led connectivity at enterprise scale | Hybrid integration and ETL that get you to value faster |
| Data movement | Zero-copy — queried where it lives, not duplicated | Governed, audited connectors with real-time sync and CDC | Consolidated through pre-defined connectors and automation |
| When we pick it | Data should stay in Snowflake, Databricks or your warehouse | Connectivity needs to compound across many projects | ERP and SaaS data needs unifying with lighter overhead |
Pre-built connectors for rapid integration
Reusable API layers (system, process, experience)
Change-data-capture for real-time sync
Bulk ingestion for high-volume loads
MuleSoft
API-led connectivity, built to reuse.
MuleSoft lets us compose your enterprise from reusable APIs and pre-built connectors — so each integration accelerates the next instead of adding to the backlog. Every flow moves data through governed, audited connectors you control.
Synatic
Hybrid integration & ETL for a unified data layer.
Synatic brings hybrid integration, ETL and data automation together — consolidating ERP, SaaS and operational data into one trusted data layer, with pre-defined connectors that shorten time-to-value.
- Hybrid integration & ETL in one platform
- Unified data layer across ERP and SaaS
- Pre-defined connectors for common systems
- Automation for cleansing, transform and sync
Integration in the agentic era
APIs are the connective tissue of the agentic enterprise.
An agent is only as capable as the data foundation beneath it and the systems it can safely reach. We use MuleSoft's Topic Center to turn your existing APIs into governed Agentforce actions — defined as Topics in the API spec — so agents act through the same connectivity, security and policies your applications already trust, always with a human in the loop on consequential steps. Nothing is bolted on; the API is the agent's permission to act.
- Topic Center. Expose APIs to Agentforce as governed Topics, scoped and policy-controlled — not raw, ungoverned access.
- API Catalog. Surface your live connections inside Agentforce Builder, so agents are wired to real systems, not stubs.
- Governed by default. Agents inherit the same auth, rate limits and lineage as the rest of the estate — auditable end to end, under your permissions.
Document → data → action
Intelligent document processing, wired to agents.
Invoices, onboarding forms, claims and contracts arrive as unstructured files. With intelligent document processing we extract them into structured, validated data on the same governed foundation — ready for an agent to pick up the next step.
- 1Capture — Ingest the document — PDF, scan or upload — through the integration layer.
- 2Extract & validate — Turn it into structured fields, with human review where it matters.
- 3Act — Hand the validated data to an Agentforce action: route, update or trigger the workflow.
We match the tool to the document: MuleSoft for Flow IDP and Salesforce's native Document AI for standard forms; custom extraction where the documents don't fit a template.
Where your AI runs
A trust boundary you can actually defend.
The hard part of enterprise AI isn't the model. It's keeping the reasoning on your governed data instead of shipping it to tools you don't control. We engineer that in from the first phase, not bolt it on at the end.
“Your AI runs inside Salesforce’s trust boundary. We don’t pipe your data out to third-party AI tools. Agentforce operates on your governed Salesforce data, under the Einstein Trust Layer, with your permissions, sharing rules, and audit trail.”
One honest caveat: Integration (MuleSoft, Data 360) moves and federates data through governed, audited connectors, by design and under your control. What stays on-platform is your AI and its reasoning.
Salesforce engineers, not a bench
Computer-science engineers who do the Salesforce work: the data model, the flows, the sharing rules, the Agentforce build. The people who scope it stay on it through go-live.
Inside the trust boundary
Agentforce reasons over your governed Salesforce data under the Einstein Trust Layer, with your permissions, sharing rules and audit trail. Your CRM isn't copied into a third-party AI tool to do its work.
Evidence, not a demo
A named, evidence-gated method. Agents are scored against a held-out eval set before go-live, and you keep the kill-switch, permission matrix and audit log.
Let's engineer the data foundation your AI can trust.
In one working session we map your systems, profile the data getting in your way, and recommend a rigorous path to a single governed foundation — with your AI reasoning inside Salesforce's boundary and data moving only through governed, audited connectors you control.