Advisory & Consulting
When engagements depend on analyst hours and a few senior reviewers, more mandates put pressure on turnaround and margin. We build AI-powered software around your methodology, systems and approval steps to reduce avoidable preparation and rework.
Start with the work that needs to improve. We learn where your team is losing time, margin, confidence, or speed, then build an AI product or system around the way your business actually operates.
Where AI can help
What you seeTeams collect screenshots, policy excerpts, procedure notes, evidence files, and client explanations, then manually turn them into first-draft workpapers.
What it costsSenior reviewers spend expensive time checking whether the preparer found the right source rather than testing the conclusion.
What could changeGenerate source-backed workpaper drafts, evidence notes, exception flags, and reviewer queues that match the firm's methodology.
What you seeEvery engagement has different folder structures, naming conventions, templates, screenshots, and missing context.
What it costsThe team loses margin in intake, sorting, renaming, cross-referencing, and chasing clarification.
What could changeBuild an intake layer that classifies artifacts, detects missing evidence, maps files to requirements, and preserves source traceability.
What you seePrior issue patterns, clause interpretations, control gaps, and client-specific learnings rarely become reusable assets.
What it costsNew teams repeat the same research and quality checks across similar engagements.
What could changeCreate controlled knowledge workflows that reuse approved methodology, examples, and playbooks without leaking client data across engagements.
What we can build
Repeated evidence intake, workpaper preparation and client follow-ups leave less time for analysis and review. We identify one valuable bottleneck, then build and test a system around the firm’s existing delivery method.
We build retrieval and review workflows over approved engagement files, evidence, reports, policies, and data exports. Draft findings include supporting references where available; missing or uncertain support is flagged for review.
We connect extraction and review to the formats delivery teams use: workpapers, Excel trackers, PowerPoint exhibits, memo sections, dashboards, and reviewer notes.
Advisory firms require hard separation between engagements. We design around row-level security, namespace isolation, user permissions, audit logs, and approved reuse boundaries.
FAQ
We define engagement separation, user permissions, storage and retrieval boundaries, and approved reuse rules for your project. The implementation is tested for unauthorized access before wider rollout.
Technology partnership
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