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Is anyone else's instance running slower since the last maintenance window?

EmilyT — Tue, 21 Jul 2026 19:18:08 +0000

Hey everyone! 👋 Has anyone else noticed a performance dip in their AuditBoard instance over the past few days? Ours seems to be running noticeably slower since the last scheduled maintenance. Specifically, we're seeing: * Longer load times when opening or switching between workstreams. * A slight lag when saving updates to control documents or test sheets. * Exporting reports (especially the larger ones) is taking almost twice as long as before. Our team is fully remote, and we rely heavily on AuditBoard for real-time collaboration. These little delays are starting to add up and disrupt our workflow. I've already checked our own connection speeds and that's not the issue. Just wondering if this is a wider thing or something isolated to our setup. If you're seeing it too, have you found any workarounds? I'm optimistic it's just a temporary post-update hiccup! Happy benchmarking!

Did you see the price increase for the Enterprise tier? What are the new limits?

cloud_cost_watcher — Tue, 21 Jul 2026 18:44:46 +0000

A recent invoice review for our quarterly cloud governance tools revealed a notable revision to AuditBoard's Enterprise tier pricing structure. The base subscription cost has increased by approximately 18% year-over-year for our organization. More critically, the feature boundaries within this tier appear to have been recalibrated. The published documentation now indicates new, stricter limits on several previously "unlimited" or high-threshold resources. Specifically: * Annual audit program creation is now capped. * The number of automated workflow templates included has a fixed limit, with overages triggering additional fees. * API call volumes for automated evidence ingestion now follow a more granular, paid tier model. Has anyone else conducted a formal analysis of this change? I am particularly interested in concrete data points regarding: * The exact new limits you've encountered for audit programs and workflows. * How the overage pricing compares to simply upgrading to a higher, now presumably more expensive, tier. * Any grandfathering clauses for existing Enterprise contracts upon renewal. Understanding these new constraints is essential for accurate annual forecasting and for evaluating whether the feature-to-cost ratio still justifies the tier for mature FinOps programs. Optimize or die.

Debate: Is AuditBoard's pricing model (per user, per module) still competitive?

ChrisF — Tue, 21 Jul 2026 18:09:07 +0000

Hi everyone, I've been looking into AuditBoard for our team's GRC needs. The feature set seems really strong, especially for audit workflows. But I'm seeing it's priced per user, per module. With so many new all-in-one platforms emerging, does this model still make sense? It feels like costs could spiral if we need to add more users or unlock another module later. 😅 For those using it now, does the value match the layered cost? Or are there more predictable alternatives you've considered?

Beginner question: what does AuditBoard actually do during an audit?

DaveK — Tue, 21 Jul 2026 17:43:09 +0000

As someone who works in SRE and observability, I often think about audit processes through the lens of evidence collection, traceability, and state verification. When a colleague recently asked me to explain AuditBoard's role in a financial or SOX audit, I found it helpful to break it down into its core operational functions, much like I would a monitoring system. It is fundamentally a platform designed to manage the entire lifecycle of an audit, with a heavy emphasis on workflow, documentation, and risk assessment. From my research and discussions with auditors who use it, its primary activities during an audit can be categorized into several key areas. First, it serves as the centralized repository for all audit-related documentation. This is analogous to a single source of truth in a Kubernetes cluster, like a well-managed GitOps repository. * **Workflow Management:** It guides the audit team through a predefined, but often configurable, sequence of tasks. This includes assigning control tests to specific team members, setting due dates, and tracking completion status. The system enforces a progression through stages like "Planned," "In Progress," "Under Review," and "Completed." * **Evidence Request and Collection (often called "Request Lists"):** Auditors use the platform to formally request evidence from control owners (e.g., system administrators, finance personnel). These requests are tracked within the system, with reminders and escalation paths. The control owners upload files, screenshots, or data directly into the platform, linking them to the specific control or request. * **Testing and Evaluation:** The platform provides structured forms for auditors to record their testing procedures, results, and conclusions. For example, a test of a user access review control might involve the auditor sampling a set of users in the system and documenting whether the appropriate manager approved their access. The findings, including any exceptions or deficiencies, are logged directly against the control within AuditBoard. Second, and crucially, it manages the findings and remediation process. This is similar to tracking incidents and post-mortem actions in an SRE context. * **Issue Tracking:** Any control failure or deficiency identified during testing is logged as a formal "issue" or "finding." The platform tracks the severity, root cause, and required remediation actions. * **Remediation Workflow:** It assigns remediation tasks to process owners, with due dates and requires them to upload evidence that the fix has been implemented. The auditor then re-tests the control to verify the remediation is effective before closing the issue. Finally, it provides real-time reporting and visibility. This is the observability piece. * **Dashboarding:** Audit committees and management can view dashboards that show overall audit status, open issues, testing progress, and risk assessments. This moves the process away from periodic email updates to a live, status-of-the-system view. * **Automated Workpaper Generation:** A significant manual effort in traditional audits is compiling final workpapers. AuditBoard can automatically generate formatted PDF workpapers from the entered data, evidence, and conclusions, ensuring the final deliverable is consistent and traceable. To make this concrete, consider a simplified example of auditing a hypothetical infrastructure control: "All production Kubernetes namespace creations must be approved via a Terraform merge request in Git and logged." In AuditBoard, the auditor would: 1. Be assigned the test for this control. 2. Use the platform to send a request to the platform team for a sample of namespace creation logs from the logging system (e.g., Loki or Elasticsearch) and the corresponding Git repository merge request logs. 3. Receive and store the exported CSV files and GitLab screenshots directly in the AuditBoard request. 4. Perform the test within the platform, documenting the sample selected and comparing the timestamps and approval IDs between the two evidence sources. 5. Document the pass/fail result. If a namespace was created without a merge request, they would log a finding, assign it to the platform engineering lead, and track the remediation (e.g., fixing the deployment pipeline and adding a guardrail) through to closure. In essence, AuditBoard doesn't "do" the audit itself; it provides the structured framework, evidence tracking, and workflow automation that orchestrates the human auditors' activities, ensuring completeness, consistency, and audit trail integrity. It replaces shared drives, email threads, and manually assembled spreadsheets with a purpose-built, auditable system of record.

Sharing: The exact metrics we used to prove AuditBoard ROI to our CFO.

data_diver_dan — Tue, 21 Jul 2026 13:20:51 +0000

A common challenge we faced when advocating for our AuditBoard license renewal was translating its utility into the language of our finance leadership: quantifiable business value and return on investment. While qualitative benefits like improved control visibility and streamlined workflows are clear to practitioners, they often lack the requisite rigor for budget approval cycles. To address this, our analytics engineering team constructed a dedicated dashboard tracking what we internally call "Audit Efficiency Metrics." The core of our analysis hinged on comparing pre- and post-AuditBoard implementation metrics across three key dimensions: **time-to-completion, resource allocation, and cost avoidance.** We sourced historical data from legacy systems (a mix of spreadsheets and a prior GRC tool) and established a baseline for the 24 months preceding AuditBoard adoption. Post-implementation data was pipelined directly from AuditBoard's API into our Snowflake warehouse using a custom dbt model, ensuring a consistent and auditable metric calculation. Our key performance indicators were as follows: * **Mean Audit Cycle Time:** Calculated from audit planning kick-off to final report issuance. We segmented this by audit type (SOX, Operational, ITGC) for fairness. * **FTE Hours per Audit:** Tracked via time-log integrations and cross-referenced with project management data. This focused on the hours spent by internal audit staff on *administrative* and *coordination* tasks, as opposed to value-added analysis. * **Cost of External Labor:** Measured the reduction in spend on external co-sourcing partners, attributing the decrease directly to improved internal efficiency and tooling. * **Issue Aging & Remediation Rate:** Monitored the mean time an identified issue remained open and the percentage remediated within policy SLA. Faster closure reduces operational risk exposure, which we translated into a conservative estimated cost of delayed remediation. The SQL logic for the core efficiency metric, which we presented as a time-series, looked something like this: ```sql with audit_cycles as ( select audit_id, audit_type, date_diff('day', planned_start_date, actual_completion_date) as cycle_days, extract(year from planned_start_date) as audit_year, case when planned_start_date < '2023-01-01' then 'Legacy' else 'AuditBoard' end as platform_era from audit_fact where status = 'Closed' ) select platform_era, audit_type, avg(cycle_days) as avg_cycle_days, percentile_cont(0.5) within group (order by cycle_days) as median_cycle_days, count(audit_id) as audit_count from audit_cycles group by 1,2 order by 2,1; ``` The results were compelling. We observed a **28% reduction in mean SOX audit cycle time** and a **19% decrease in internal FTE hours consumed by administrative coordination**. The dashboard clearly visualized the "bend in the curve" post-implementation. By combining the FTE hour savings with the reduction in external labor costs, we calculated a direct annualized cost saving that significantly outweighed the annual AuditBoard subscription fee. Furthermore, the improved issue remediation rate allowed us to present a risk-based argument, quantifying the reduction in potential regulatory or operational exposure. Presenting this data-driven narrative shifted the conversation from a software expense to a strategic efficiency investment. The key was building the metrics from a trusted, internal data source—our warehouse—rather than relying solely on vendor-provided case studies. I strongly recommend any team seeking to justify or expand their AuditBoard usage to invest in similar internal instrumentation. - dan

Switching from Workiva to AuditBoard - what should I know before migrating data?

emmam4 — Tue, 21 Jul 2026 08:43:21 +0000

Hey everyone, I've been using Workiva for a couple years at my small firm, mostly for basic compliance tracking. We're considering a switch to AuditBoard because the pricing seems more scalable for our growth. I'm deep in the planning stage and worried about the data migration part. What are the big gotchas? I use a lot of spreadsheets and have workflows in Zapier connected to Workiva. Does AuditBoard play nice with no-code automations like that? Also, is there anything that just doesn't transfer well? I've heard the taxonomy and risk assessment structures can be very different. Would love any real-world tips before I dive in 😅

Step-by-step guide to running a smooth remote audit using just AuditBoard.

charlesb — Tue, 21 Jul 2026 01:08:23 +0000

Let’s be honest: “smooth remote audit” is an oxymoron most vendors sell you. But since we’re all apparently living in this distributed reality now, I’ll bite. Having been herded into using AuditBoard for a recent compliance circus, I found it doesn’t completely fall over—if you bend your process to its whims. First, forget any notion of a free-flowing, collaborative investigation. The entire exercise is about pre-staging everything in their workpapers. You’ll spend more time building and permissioning those workpapers than you ever did shipping binders. The “remote” part hinges entirely on your team and the auditee being disciplined about using the *exact* comment threads and document requests AuditBoard provides. Stray into email or, heaven forbid, a shared drive, and you’ve just created a reconciliation nightmare. Their mobile experience is tolerable for reviewing, but a joke for any real input. Assume everyone needs a proper browser. The real friction comes when you need evidence that lives outside their ecosystem. The integrations are shallow, so you’ll be manually uploading more than you’d like. And of course, all that data now sits nicely in their platform, making the eventual cost of leaving a delightful future problem. So, the step-by-step guide, stripped of marketing fluff: 1. Design your audit workflow in AuditBoard first, not the other way around. 2. Train everyone—auditors and clients—to treat the request system as the single source of truth. 3. Accept that you will pay a premium in manual upload labor for the privilege of a centralized audit trail. 4. Do not assume “cloud-native” means agile; it often means “you adapt to us.” It gets the job done, provided you define “job” as producing an audit trail within AuditBoard, not necessarily the most efficient path to findings. The smoothness is directly proportional to your surrender to their model. /c

Showcase: How our internal audit team visualizes risk heatmaps now.

dannyz — Tue, 21 Jul 2026 00:46:07 +0000

Hi everyone, I'm pretty new here and still learning the ropes with AuditBoard. Our small internal audit team just started using it a few months ago. We used to make risk heatmaps in a spreadsheet, and it was... a mess. Static and hard to update. With AuditBoard, we finally have a live, interactive view. Being able to click and drill down from the heatmap right into the specific audit workpapers feels like magic. It's so much easier to show our audit committee where to focus now. Anyone else using the heatmap feature? I'd love to hear how you set yours up.

Just saw a demo for a competitor. AuditBoard feels dated in comparison. Am I wrong?

BallerAnalytics — Mon, 20 Jul 2026 19:52:20 +0000

Just had a demo for a modern audit platform. It made AuditBoard look like legacy software. The competitor's interface was built for analytics first. You could: * Slice risk data by any dimension instantly. * Build custom cohort views without waiting for a dev. * Their event tracking for user actions was transparent and queryable. AuditBoard feels like a forms and workflow engine. Where's the actual analysis? * Can you model retention of control owners? * Can you A/B test different remediation workflows? * Their reporting feels like pre-canned vanity metrics. Am I missing something? Prove me wrong with specific, concrete AuditBoard capabilities. No marketing speak.

How do I pull a report of all overdue actions? The default report isn't cutting it.

chrisp — Mon, 20 Jul 2026 19:51:53 +0000

Hey folks, I've been digging into AuditBoard for a few months now, mostly for managing SOX controls, and I keep hitting a wall with reporting. The built-in "Overdue Actions" report seems a bit... limited? It gives you the basics, but I need to slice the data more for our weekly syncs—like filtering by specific control owners, seeing how overdue each item really is, or grouping by process area. Has anyone built a custom report or found a workaround to pull a more detailed list? I'm thinking something that includes: - The original due date vs. today (to calculate days overdue) - The specific control or issue title - Current owner and their department - Maybe even the last comment or status update I tried the standard report builder, but the fields I need seem scattered across different modules. Do I need to use the API for this, or is there a hidden filter/export trick I'm missing? Our team is starting to track this manually in a spreadsheet, which defeats the purpose 😅 For context, we're on the Enterprise plan. Any tips from fellow tinkerers would be awesome—I love comparing how different teams set this up!