Custom AI workflows built specifically for fraud investigation: deep integrations with the IDEA stack, accounting & tax-grade privacy, and workflows that pay back in weeks, not years.
AI diffs each payroll run against the prior period, flags any variance over 5% or unusual one-time items, and holds them for approval — payroll errors caught pre-run, not post-deposit.
AI classifies every incoming notice, links it to the client file in IDEA, drafts the response, and calendars the deadline — no notice slips past a response window.
AI ingests bank feeds, statements, and IDEA data, rebuilds a clean transaction timeline, and flags suspicious patterns — investigators start at analysis, not data entry.
AI standardizes TB data across periods, builds the QoE model, identifies add-backs with source-document evidence, and drafts the data-book — senior analysts focus on judgment calls, not reformatting.
AI rebuilds the 13-week forecast nightly from live data, flags any week projected to go below minimum cash, and emails the owner with recommended actions — the forecast is always current.
AI pipes KPIs from IDEA and every other system into a live dashboard, writes weekly commentary on movement, and sends an exception summary — the owner sees the business in real time.
AI watches calendar, email, and IDEA activity, drafts timesheet entries per matter, and asks only for ambiguous slices — realization rate climbs 4–8 points.
AI drafts the engagement letter, generates a tailored document-request list for the client's Fraud Investigation profile, chases missing items across email and IDEA, and hands the partner a ready-to-work file — first billable task starts in 3 days, not 3 weeks.
The workflows above are starting points. Every fraud investigation operation runs differently — we build what you actually need.
