A growth-stage business services company had outgrown the manual compliance workflows it had relied on for years. With a lean InfoSec team now responsible for audit readiness, privacy governance, and AI compliance simultaneously, the operational math had stopped working. Facing internal audit deadlines in the near term and certification cycles later in the year, the team returned to a platform they had once left behind, this time with the staffing, the urgency, and the evidence that the platform had matured enough to meet them where they were.
[ The Problem ]
One team. Three frameworks. Every process still manual.
The InfoSec team was running SOC 2, ISO 27001, and ISO 27701 compliance largely by hand, with policy management, evidence collection, and risk documentation spread across shared documents and manual workflows. At the same time, the scope of their responsibilities had expanded to include privacy and AI governance, with no additional headcount to absorb it.
Inbound security questionnaires were consuming direct team time with no automation, no shared content library, and no way to deflect repeat requests. Expansion into financial services and healthcare was increasing the volume and complexity of security reviews. The consequence of staying manual was not inefficiency in the abstract; it was a team already at capacity heading into a hard audit deadline.
[ What they needed ]
The team needed to accomplish several things at once, with limited time before audit season began.
- Automate evidence collection and control monitoring across multiple frameworks simultaneously
- Centralize policy management and reduce reliance on manual documentation in shared workspaces
- Stand up a Trust Center to deflect routine security questionnaire requests without direct team involvement
- Support questionnaire portal integrations and original-format exports for complex inbound requests
- Map controls across SOC 2, ISO 27001, ISO 27701, and emerging AI governance frameworks without duplicating work
- Demonstrate audit readiness to internal stakeholders and an external auditor on a defined timeline
- Integrate with an existing cloud-native stack including AWS, Salesforce, Workday, GitHub, and identity providers
[ Why Drata won ]
Selected over Vanta, Drata re-earned trust with a former customer by demonstrating material platform improvement and tying that improvement directly to urgent audit deadlines.
Rebuilt credibility with a former customer: the team had left Drata years earlier due to integration friction. Rather than dismissing that history, Drata addressed it directly in the demo, showing current-state integration coverage and offering implementation support paths. The champion explicitly noted the platform had changed materially since the prior deployment.
Breadth across an expanding compliance scope: the team had recently absorbed privacy and AI governance responsibilities on top of existing audit work. Drata's ability to map SOC 2, ISO 27001, ISO 27701, and AI governance controls inside a single platform was directly relevant to that expanded workload, not a future-state pitch.
Trust Center and questionnaire automation matched a real capacity constraint: the team was fielding growing inbound security reviews from financial services and healthcare prospects with no scalable response mechanism. Drata demonstrated portal support and original-format exports in the demo, which the operational stakeholder focused on as a direct adoption signal.
Implementation timeline aligned to hard audit dates: the team needed to be ready for an internal audit within weeks and a certification audit later in the year. Drata scoped the onboarding path to those dates specifically, which converted platform confidence into executive approval.
[ How Drata solved it ]
Drata's GRC platform addressed the core workload problem by mapping common controls across all active frameworks simultaneously, eliminating the need to manage each audit as a separate manual project. Evidence library workflows and automated AWS monitoring reduced the hands-on effort required from a small team to maintain continuous control coverage.
The Trust Center gave the company a way to handle routine security review requests without pulling team members into individual questionnaire responses, and Drata's questionnaire automation extended that coverage to complex portal-based requests, including support for original-format exports. For a team fielding growing inbound volume from financial services and healthcare prospects, that combination directly addressed the capacity constraint.
AIQA provided a structured path for the AI governance work the team had recently inherited, mapping it into the same platform rather than requiring a separate process. The implementation timeline was scoped to support an internal audit within weeks of signing, with certification audits to follow later in the year.
[ Before and after Drata ]
Before Drata, a lean InfoSec team was absorbing three active compliance frameworks, growing questionnaire volume, and new AI governance responsibilities entirely through manual processes. After, automated control monitoring, a live Trust Center, and unified framework mapping replaced the workflows that had been consuming direct team capacity ahead of a hard audit deadline.
[ Business outcome ]
The team entered audit season with a defined readiness timeline and a platform capable of supporting it, rather than a manual process stretched across a small group of people. Routine security questionnaire requests shifted from direct team effort to automated deflection, freeing capacity for control management and audit preparation.
The company now operates its SOC 2, ISO 27001, and privacy and AI governance work inside a single platform, with integrations covering the full cloud-native stack. Audit readiness is a scheduled deliverable, not an open question. For a team that had previously left the platform when it lacked the capacity to use it, the return reflects both organizational maturity and a platform that had grown to match it.