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(844) 422-7000

Local managed IT

AI contract and compliance review in the Lowcountry

Material is checked against your written rules to build a queued list of findings before a named person signs off.

Organized finding queues

Every flagged item quotes your rule and passage

Output is a ranked queue of findings waiting for a decision. Each finding identifies a specific rule and quotes the passage that triggered it, putting text directly in front of your review team.

  1. 1

    Findings quote written rules

    Every finding names a rule and quotes the passage directly on the review screen.

  2. 2

    Reviewers accept or dismiss

    Each finding is accepted or dismissed by a named reviewer recording a reason.

  3. 3

    Work runs in your account

    Review runs in your own Microsoft or AWS cloud account, keeping material in storage.

Material checks for local businesses

Select your business type to see material matched against written rules before a person signs it off.

Select a business type

Related material types

Material checked against written rules

Check material against specific written rules to generate a ranked queue of findings for your review team.

Select a material type

Material read

Findings produced

Reviewer decisions

Disposition records and accuracy measurement

Control rests with your review team. Every finding maintains a record of rules, versions, and reviewer decisions.

Judgment rules routed to reviewers

Rules requiring judgment are labeled and routed directly to a reviewer. Every rule receives an identifier and a reference to its source clause.

Severity set by review teams

Each finding has a severity rank, and your review team sets the severity scale. Where a rule implies a fix, findings propose replacement wording.

Disposition record exported for audits

A disposition record stores flagged items, reviewer decisions, and dates. Records can be exported for an audit to show decisions over time.

Accuracy measured on known material

Accuracy is measured against material whose correct result is already known, counting correct flags, missed items, and false flags. Findings store ruleset versions.

Microsoft documentation:Azure Document Intelligence,contract data extraction.

Projects built by material type

Each material type is built separately as one project with its own ruleset. Your second material type takes less time to build than your first.

  1. 1

    Write down written rules

    Document rules defining checks. Build work is done remotely, though first conversations happen in person.

  2. 2

    Run known material and measure

    Accuracy is measured against material whose correct result is already known to count correct flags, missed items, and false flags.

  3. 3

    Put queues before reviewers

    Output is a ranked queue of findings. Reviewers accept or dismiss each finding, recording reasons on a screen showing material alongside findings.

  4. 4

    Widen to next material type

    Recent material can be re-run against revised rulesets. Each subsequent material type builds faster than previous ones.

Questions about review setups

Book a conversation in Mount Pleasant

Call (844) 422-7000 to discuss checking your material against your written rules.

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CloudCentric · Mount Pleasant, SC · serving Charleston and the Lowcountry(844) 422-7000