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honestAI

What we operate · Compliance Operations

Compliance Operations, run with AI and human oversight.

We prepare reviews, evidence and checks. Compliance officers make the determinations.

The work

What we take over.

Reviews are document-heavy and repetitive, yet every one needs a defensible trail.

Workflows we run

  • Document and contract review against playbooks
  • Policy checks
  • KYC/AML file preparation where applicable
  • Exception routing
  • Audit evidence preparation

Systems involved

  • Document management
  • Core banking / CRM
  • Screening services
  • GRC platforms
  • Microsoft 365

What humans own

Compliance and legal staff decide every risk determination, filing and contractual position.

Outcome metrics we report

  • Cost per review
  • Review cycle time
  • Evidence completeness
  • Findings routed within SLA

Operating model

Operate is where the relationship begins.

Most AI projects end at deployment. Ours start there: once a workflow is live, we run it and improve it against the outcome we agreed.

  1. 01Project

    Discover

    Identify high-friction work and baseline the economics.

  2. 02Project

    Redesign

    Split the workflow between AI execution, policy controls, and human judgment.

  3. 03Project

    Deploy

    Connect secure production agents to existing enterprise systems.

  4. 04Recurring

    Operate

    Run the workflow, handle exceptions, monitor SLAs and govern execution.

  5. 05Recurring

    Improve

    Optimize the workflow continuously against agreed business metrics.

Project phase — weeks Operate ⇄ Improve — recurring, measured monthly

Human accountability

AI executes. Humans decide. Every action is accountable.

  1. 01

    Agent executes

  2. 02

    Policy & permission checks

  3. 03

    Confidence / exception rules

  4. 04

    Human specialist review

  5. 05

    Outcome recorded

  6. 06

    Audit trail retained

  7. 07

    Fed back into improvement

Human judgment

People decide anything that needs judgment, authority or accountability.

Approval controls

Thresholds and maker-checker rules you set — enforced on every item.

Traceability

Inputs, decision summary, action and approver logged for every task.

Escalation handling

Clear routing decides who sees which exception, and how fast.

SLA ownership

We own the workflow's service levels and report against them monthly.

Secure integration

Least-privilege access through your identity provider and systems.

What work should AI take off your team?

Start with one workflow. Prove the economics. Then expand.