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Example build · Document review & compliance

IntakeReview

First-pass document review that shows its work

Professional services & regulated back-office teams12 weeks to first reviewer livefrom $125k
A reviewer working through a stack of document folders beside a laptop
8 min → 90 sec
Median review time
4 mo → 3 wks
New reviewer ramp
100%
Decisions with a reconstructable trail
The situation

What was actually happening

A review workspace for a services firm processing several thousand client submissions a month. The application drafts a decision with citations; a licensed reviewer confirms or overrides in seconds instead of minutes.

A reviewer comparing a printed document against a laptop screen
  • Reviewers spent 70% of their time on submissions that were obviously complete
  • Quality varied between reviewers with no way to measure it
  • Regulatory audits required reconstructing decisions from email
  • Onboarding a new reviewer took four months
The build

How we solved it

01Extraction with citations

Every extracted field links back to the page and paragraph it came from. A reviewer verifies against the source in one click instead of re-reading the file.

02A drafted recommendation, never a decision

The system proposes an outcome with its reasoning and confidence. A person always signs. Low-confidence items route to senior reviewers automatically.

03Policy encoded and versioned

Eligibility rules live in a reviewable policy layer with effective dates, so a rule change is a deliberate, dated event — and past decisions stay explainable under the policy that was live.

04Audit trail as a first-class feature

Every view, override, and comment is recorded. An audit request that used to take a week of email archaeology is now an export.

The application

Screens that carry the workflow

Interface placeholders — the real product screens go here once client approval lands.

Review queue

Prioritized by confidence, SLA, and reviewer specialty

Split view

Extracted fields beside the source document, click to jump

Policy version

Rules with effective dates and a diff between versions

Audit export

Complete decision history for any submission or date range

AI inside

Where the models actually do work

The application works without any of this. The AI is what makes it fast — and every use below has a confidence threshold and a human path when it isn’t sure.

  • Document classification and field extraction with page-level citations
  • Policy-grounded recommendation drafting with confidence scoring
  • Continuous evaluation against reviewer overrides to catch drift
Integrations
SharePointOkta SSOSalesforceSlackSnowflake
Time to production
12 weeks to first reviewer live
Typical investment
from $125k
Something like this?

Your version won’t look like this one.

That’s the point — the whole reason to build rather than buy is that your process is yours. Tell us what yours does and we’ll sketch the shape of it.

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Taking two new engagements this quarter.