San Antonio teams get an independent read on where Salesforce security, data quality and technical debt stand before they build anything more.
A health check for a San Antonio organization often starts with security, because so many local teams answer to auditors, examiners or government customers. We review profiles, permission sets, sharing rules and integration users, then measure data quality, inventory automation and custom code, and check which dashboards reflect reliable data. You receive risks and fixes in priority order, each with an effort estimate. It is especially useful before an Agentforce pilot, a change of partner or a license renewal.
Cybersecurity and IT firms in the region, many serving defense and government customers, sell on the strength of their controls, so their own CRM should hold up to scrutiny. The review checks multi-factor enforcement, admin access, connected apps with broad scopes and API users that outlived their purpose. We also look at whether customer environment details stored in Salesforce are restricted appropriately, and document findings in a format their compliance staff can use.
Financial institutions here tend to have mature orgs with years of layered automation and custom fields. The health check inventories overlapping flows and triggers on accounts and cases, identifies unused fields and packages that slow page loads, and reviews how marketing consent is stored and synchronized. For firms considering AI agents to handle member inquiries, we assess whether data and permissions are ready for an agent to act on them safely.
Health care and social assistance contributes at least 6.7% of 2024 metro GDP, and organizations in the sector store sensitive information in Salesforce even when clinical records live elsewhere. A health check examines field-level security on patient-related fields, audit settings, sharing between departments and locations, and whether any integration copies more data than intended. Findings are ranked so privacy risks are addressed ahead of performance or usability improvements. Each high-risk item comes with a suggested fix.
A health check is more useful when it reflects the rules you actually operate under, whether banking regulation, health privacy or defense contract requirements. Share those obligations at kickoff so findings are ranked against them rather than against a generic checklist.
An agent answering member or customer questions draws on your records, knowledge articles and permissions. Test those foundations first: duplicate rates, outdated articles and what an agent user could reach. A pilot on a verified subset of data produces results you can evaluate honestly.
Before renewal, compare purchased licenses and add-ons with actual use. Inactive users, idle feature licenses and packages installed for past projects all surface in a health check, giving procurement concrete facts for the negotiation rather than estimates. Unused licenses can often be reassigned before new ones are bought.
How our salesforce health check works →
Client names are anonymized, and these projects are not specific to San Antonio.
Audits usually test controls in isolation. A health check covers security plus data quality, automation, technical debt, integrations and adoption, because problems in those areas often create security risk too, such as automation running as a system user or a dormant integration with full access. For San Antonio clients facing formal audits, our findings can feed their preparation but do not replace an independent assessor.
No. Everything runs on read-only access against metadata, configuration and data samples, and nothing in the org is altered. The only time we ask of users is a few short interviews about where they struggle. Access can be granted through a dedicated user that you deactivate when the review ends, and any data we examine stays within your org.
Yes. An agent answering member questions relies on accurate member records, current knowledge articles and permissions that stop it revealing information to the wrong person. A health check tests each of those, identifies gaps and suggests a limited first use case, such as general servicing questions that need no account data, where risk is low. Your compliance team can then review a concrete design rather than a concept.
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