Custom compliance automation software makes sense when your company runs infrastructure that Vanta and Drata don't monitor natively, your compliance programme spans frameworks those platforms weren't designed for (FISMA, HITRUST, FedRAMP, CMMC), or your evidence collection requirements go beyond what any standard compliance tool supports. Compliance automation software is searched 1,000 times per month at CI 5 — a small but high-value category where buyers are engineering leaders and compliance officers with authority over budgets. The standard compliance automation tools (Vanta, Drata, Sprinto) work well for straightforward SOC 2 on AWS, GCP, or Azure with standard SaaS infrastructure. When your infrastructure is more complex, they don't.
What does compliance automation software actually automate?
Four categories of manual compliance work. Evidence collection: pulling screenshots, configuration exports, log samples, and access reviews from infrastructure on a schedule, rather than gathering them manually per audit request. Control monitoring: checking continuously whether your systems meet control requirements (encryption enabled, MFA enforced, least-privilege access) rather than reviewing at audit time. Audit workflow: managing auditor requests, mapping evidence to controls, tracking open items, and communicating status. Policy management: maintaining policy document versions, tracking acknowledgements, and linking policies to the controls they satisfy. Most compliance teams spend 70–80% of their audit preparation time on the first two categories. Automating them doesn't eliminate the audit work — it shifts time from evidence gathering to reviewing exceptions.
Why do Vanta and Drata fail for complex compliance programmes?
Vanta and Drata are built for early-stage to mid-market SaaS companies on standard cloud infrastructure preparing for SOC 2 Type I or Type II. They work well for that use case. They struggle when: your infrastructure includes on-premise systems, legacy databases, or non-standard cloud configurations that their integrations don't cover; you're pursuing frameworks beyond SOC 2 and ISO 27001 (FedRAMP, HITRUST, CMMC, FEDRAMP High); your control set is customised (inherited controls from a parent organisation, supplemental controls from a customer contract requirement); or you need evidence granularity that exceeds what the standard connectors collect. The result: your compliance team spends significant manual time supplementing the automated evidence with custom exports — defeating the automation purpose.
What does a custom compliance automation system include?
Six core modules cover the end-to-end compliance workflow for organisations with complex requirements.
| Module | Function | When You Need It |
|---|---|---|
| Infrastructure Connector Layer | API connections to your specific cloud, on-prem, and security tool stack | Non-standard infrastructure, legacy systems, custom cloud configurations |
| Control Framework Engine | Custom control set mapped to your specific compliance requirements | Multi-framework, inherited controls, customer-contract requirements |
| Automated Evidence Collector | Scheduled evidence pulls from all connected sources | Continuous evidence collection rather than point-in-time audit prep |
| Control Health Dashboard | Real-time control status, exception alerts, remediation tracking | Continuous compliance posture visibility |
| Audit Management | Auditor portal, evidence request management, finding tracking | SOC 2, ISO 27001, HIPAA, FedRAMP audit support |
| Policy Manager | Policy version control, employee acknowledgement tracking, control linkage | Policy governance across the organisation |
How does AI apply to compliance automation?
Three applications with proven utility. First: control gap analysis — reading policy documents and technical configurations and identifying controls that are described in policy but not implemented in the technical environment. Second: exception triage — classifying compliance exceptions by risk severity and recommending remediation priority. Third: audit response generation — given an auditor's evidence request and the available evidence artefacts, generating first-draft response text that the compliance team reviews and submits. Madgeek has built AI systems for enterprise compliance environments — the same NLP and document processing architecture applies.
What does a custom compliance automation project cost?
A custom compliance automation system covering 2–3 frameworks with automated evidence collection for your specific infrastructure takes 16–24 weeks and $55,000–$100,000. FedRAMP or CMMC compliance automation takes longer due to the evidence specificity requirements — 28–40 weeks. Every engagement is fixed-price with two-week sprint delivery.
Madgeek builds custom compliance automation for regulated companies and software vendors in the US, UK, and Canada. Discovery calls are 30 minutes. See our enterprise software services.
Need a team to build this for your business?