August 26, 2026
Your clients aren't the problem. Your audit engagement requests are.
Suralink client research finds 70% of clients blame unclear requests for engagement delays. See what a clear audit engagement request looks like.
August 19, 2026
Your Clients Are Ready for AI. Is Your Firm's Data?
94% of clients trust AI in engagements, and 91% want documents checked before submission. The bottleneck isn't client readiness, it's firm data readiness.
August 12, 2026
The Rework Cycle: Why Audit Engagements Take Longer Than They Should
The three causes of audit engagement inefficiency all lead to the same outcome: rework. See what it costs and how to estimate it for your firm.
August 5, 2026
The Workpaper Review Problem Accounting Firms Stop Noticing
Manual review scales with headcount, not efficiency. Here's why audit rework and tie-out bottlenecks are eating engagement margins, and where AI can help.
July 29, 2026
The Hidden Cost of Juggling Five Tools for One Audit Engagement
Most audit tech stacks work fine on paper. Here's the hidden cost of juggling five disconnected systems in a single engagement, and how to fix it.
July 22, 2026
Why Your Clients Are the Biggest Bottleneck in Every Engagement
Why don't clients respond to audit requests on time? It's rarely negligence. Here's what's really behind the Client Readiness Gap.
July 15, 2026
3 Reasons Why Accounting Firms Are Losing Clients (And Don't Even Know It)
Client attrition at accounting firms rarely comes down to price. Here are 3 client experience gaps quietly driving clients away, and how to close gaps.
May 31, 2026
Agentic AI for Audit — Top Enterprise Providers 2026
Compare top agentic AI for audit providers in 2026. Explore enterprise platforms, key features, and selection criteria to modernize your audit workflows with Suralink.
April 29, 2026
The Intelligence Gap: Why the "Data Entry Tax" is Eroding Accounting Margins
Suralink’s Workpaper Suite Intelligence leverages AI to transform unstructured client PDFs into engagement-ready data, eliminating manual data entry often prone to human error.