0106
Scope
Define the review queue, material set, named owner, decision boundary, and delivery standard.

ZenAI turns approved deal-room files, financial documents, contracts, and research into review-ready evidence. Analysts, counsel, finance owners, and partners decide what matters, what escalates, and what is released.
Start with one repeatable review queue: known source material, a named owner, and a clear standard for release.
Prepare a consistent review packet across high-volume deal materials without allowing the model to make investment, legal, or transaction decisions.
A useful pilot moves a defined set of materials from approved sources to a reviewed deliverable. Missing evidence stays visible, and the systems of record keep their authority.
0106
Define the review queue, material set, named owner, decision boundary, and delivery standard.
0206
Connect only approved data rooms, documents, folders, databases, and systems of record.
0306
Identify entities, obligations, metrics, exceptions, relationships, and missing evidence.
0406
Compare evidence across source files, periods, approved playbooks, and relevant prior work.
0506
Route a source-backed packet, exceptions, and open questions to the responsible reviewer.
0606
Release approved output with sources, reviewer decisions, and unresolved gaps still visible.
ZenAI sits around the systems your teams already use. The people who review and release the work define what the workflow can access and where it must stop.
Unify approved deal materials, research, prior work, and question queues while keeping analysts responsible for findings and partners responsible for the delivered view.
Prepare contract exceptions and financial document mismatches inside controlled queues; counsel, controllers, and process owners retain treatment and approval authority.
Carry permissions, evidence provenance, reviewer edits, decisions, and release status into the final handoff so governance is part of delivery rather than an afterthought.
Before
After
Outcome: the diligence team reaches substantive review with a common evidence packet, while transaction judgment and sign-off remain with accountable people.
Source-backed review

Define who can access each source, who reviews exceptions, who can release the work, and what evidence must travel with it.
Assess the first queueZenAI combines the integrations, review interface, and control trail needed to run one real finance workflow in production.
AI prepares the packet around a named reviewer, explicit approval state, and escalation path rather than an open-ended chat experience.
Access follows engagement, matter, role, and source-system rules, with unavailable evidence shown as unavailable instead of inferred.
Findings retain source links, versions, comparison context, reviewer edits, and unresolved gaps through the delivery path.
ZenAI works with approved document stores, finance tools, deal rooms, identity systems, and delivery workflows already in use.
A focused pilot includes ownership, monitoring, fallback behavior, support, and release criteria needed for daily work.
The workflow reflects how analysts, counsel, finance owners, partners, and clients actually exchange and approve work.
Finance AI pilots raise questions about confidential materials, system boundaries, and who keeps final review authority. Here is what we typically see.
Yes, when the workflow begins with the organization's access model. ZenAI can respect matter, engagement, role, workspace, retention, and source-system boundaries, while keeping sensitive outputs inside approved review and delivery paths.
No. ZenAI connects the approved systems that already hold records and ownership. The workflow layer prepares evidence, routes exceptions, and records review state without pretending to become the accounting ledger, document repository, or data room.
No. AI structures, compares, cites, and prepares. Analysts assess evidence, counsel interprets legal consequence, finance owners decide treatment, and partners or authorized leaders approve what reaches a client or decision body.
Choose work with recurring source material, a clear owner, and an existing release standard. The three-step assessment helps narrow that queue into a practical pilot.
Bring one review queue, its approved sources, and the people who sign off. We will define the integration, evidence standard, access rules, and pilot around that work.