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honestAI

How it works

Discover. Redesign. Deploy. Operate. Improve.

Deployment is not the finish line. Once a workflow is live, we run it, handle exceptions with your people and improve it against the business metric we agreed.

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Operating model
  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

Workflow economics

Every workflow has a cost. We run it for less.

We baseline the workflow before we touch it, then report the same measures every month.

Illustrative example

Accounts payable — invoice processing

Before

People involved
9 FTE
Hours / month
1,440
Cycle time
6.5 days
Error / rework
8%
Annual operating cost
$1.08M

With HonestAI · estimate

AI execution share
84%
Human review share
16%
Cycle time
1.2 days
Capacity returned
1,150 hrs / month
Exception / error rate
Baseline agreed in discovery
Cost per completed invoice
$2.10 vs $9.20
Annual economic opportunity
$690K

Illustrative values for a typical mid-size AP function. Not a customer result.

Model My Workflow

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.

Engagement model

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

Pricing is scoped to the workflow and the outcome. No fixed public price list.

  1. Step 1

    AI Opportunity Map

    Find the business workflows where AI can create measurable economic value.

    • Workflow and system inventory
    • Baseline economics per workflow
    • Ranked opportunity map
  2. Step 2

    Production Workflow

    Redesign and put one high-value workflow into production.

    • Redesigned workflow and controls
    • Production agents in your systems
    • Agreed outcome metric and baseline
  3. Step 3Flagship · recurring

    Managed AI Operations

    Hand HonestAI the workflow. We operate it, govern exceptions, and improve performance.

    • Daily operation and SLA ownership
    • Exception handling with your approvers
    • Monthly outcome and economics review
    • Continuous improvement
  4. Step 4

    AI Operations Portfolio

    Expand the model across a function or multiple departments.

    • Multiple workflows under one operating model
    • Shared governance and reporting
    • Portfolio-level economics

What work should AI take off your team?

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

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