Pith turns the standards, regulatory updates, and client-industry reading you do all day into a cited reading memory per engagement — auto-tagged, confidential, briefable before every meeting.
An audit professional reads constantly and across many fronts at once: IDW and ISA standards, IFRS updates, regulatory and enforcement news, plus the industry context for every engagement on the roster. That reading is the foundation of professional judgement, but it lives in scattered tabs, saved PDFs, and inboxes — and it has to be reconstructed from memory whenever a file question lands. Confidentiality and independence add a constraint most tools ignore: engagement reading must stay scoped to the right Mandat and the right people. Pith makes that knowledge layer first-class. You bookmark while you read; Pith auto-tags each save to the right engagement, keeps a per-engagement cited wiki current, and assembles a briefing before each meeting — every claim linked back to its source, data in Frankfurt, Germany, never used to train models.
What changes for you
Scenario 1
Walk into the audit committee meeting current on the standards
The evening before the audit committee meeting, generate an engagement briefing from the period's saved sources — the revised ISA on estimates, the IDW practice note, the regulator's enforcement focus, the client's latest segment news. Text plus audio for the commute. You arrive current on what changed and what it means for the file, instead of skimming a backlog of standard-setter PDFs that morning.
Scenario 2
Answer a file review question with the source attached
"Which pronouncement did we rely on for the going-concern judgement, and what does it actually say?" Instead of digging through saved PDFs and email, you search the engagement wiki and surface the exact passage, linked to the original IDW/ISA source. The reading you did during planning is still working for you at review — and the citation is right there for the working papers.
Scenario 3
Onboard onto an engagement that's already running
When you join an audit a senior has run for two busy seasons, the engagement wiki is already there: the sources that shaped key judgements, the client's regulatory landscape, the relevant standards, organised by concept and cited. You read the wiki, not two years of scattered bookmarks. Onboarding compresses from a week of catching up to an afternoon — which matters when staff rotate across Mandate every season.
Founder's note
I built Pith because I was a consultant who could never find what I'd read. Tabs, PDFs, saved links — none of it findable when the meeting was tomorrow, and worse when the reading had to stay scoped to one client. Auditors live this at a harder setting: more standards, more updates, real confidentiality and independence rules. So I built the layer that keeps your reading cited, scoped, and ready.
FAQ
How does Pith handle confidentiality and independence?
Bookmarks and wiki pages are workspace-scoped to your firm and engagement-tagged to the right Mandat, so engagement reading stays scoped to the right file and people. Data lives in Frankfurt, Germany, is isolated per workspace, and is never used to train models. You apply your firm's independence and confidentiality policy to what you save; Pith treats every save as private to your workspace.
How is this different from Notion or Confluence?
Notion and Confluence make you author and maintain the space — someone has to write the page and keep it current. Pith builds the engagement wiki from the standards and articles you already read, auto-tagged and cited, with no curation tax. For a constant reader under deadline, that's the difference between hours of authoring and zero.
Where is our data stored?
Frankfurt, Germany — EU-only residency, per-workspace isolation, GDPR-aligned, with full export anytime as Markdown or JSON. We do not train models on your content.
Does it work for a solo practitioner, or only for a firm?
Both. A sole practitioner runs a personal workspace with one tag per engagement; a firm runs a shared workspace where a team sees the same cited engagement wikis, scoped per Mandat. The same model fits a Mittelstand WP and a Big-4 team.
What happens when an engagement ends?
Archive the Mandat. The wiki and bookmarks stay accessible for retention and future-year reference but drop out of active filters, and you can export the engagement's knowledge as Markdown or JSON for your records. Reactivate any time — useful when the same client returns next audit cycle.
Related
Last reviewed: 6 June 2026