Live client deployments

Proof, not promises.

Named, ongoing deployments showing how Mach Lilies AI Helpers support repetitive inbox, query and payment workflows while people retain control.

1-800Accountant inDinero

The deployments

1-800Accountant

  • Ongoing live pilot
  • Live since
  • Human controlled

From unread query to review-ready response.

Mach Lilies AI Helpers monitor unread messages in 1-800Accountant’s Queries workflow, recognise account-validation and missing-information requests, and prepare draft responses for the client team.

  • 67% less Reported time spent Internal pre/post staff comparison
  • $666K Estimated annualised gross staff-capacity value Client labour-hour model
  • 1 inbox Existing Queries workflow Human-controlled drafts

Client-reported internal pre/post comparison and labour-cost assumptions. The $666K figure is an estimated annualised gross staff-capacity value, not an independently audited cash saving. Ongoing proof-of-concept deployment.

How the 1-800Accountant workflow runs, step by step

  1. Unread query
  2. Identify the account or missing-information issue
  3. Prepare draft
  4. Human review People decide

The Helpers prepare drafts; people retain control of client-facing decisions.

See the 1-800Accountant story →

inDinero

  • Ongoing live pilot
  • Live since
  • Human controlled

Two AI Helpers coordinate the payment chase.

Two Mach Lilies AI Helpers support agent-payment documentation and follow-up through a shared Outlook workflow and custom dashboard.

  • 47% less Human time spent Across the measured workflow
  • 82% shorter End-to-end payment cycle Across the full payment loop
  • 1,780 Reported global agent network Wider process supported by a 21-person team

Client-reported internal comparison during the ongoing deployment. The 1,780 figure describes the reported global agent network, not the number of completed payment cases. Results are not independently audited.

How the inDinero workflow runs, step by step

  1. Agent query
  2. Identify missing information
  3. Coordinate follow-up
  4. Validate or route an exception People decide
  5. Continue through the wider payment process

Financial validation, exceptions and payment decisions remain with people.

See the inDinero story →

Methodology

Read the result and how it was described.

These are client-reported internal comparisons from ongoing proof-of-concept deployments. They are not independently audited, do not guarantee the same result in another workflow and are presented with their measurement basis beside the claim.

1-800Accountant
Client-reported internal pre/post staff comparison of time spent on the measured Queries workflow, with the capacity value estimated from the client’s own labour-hour model.
inDinero
Client-reported internal comparison of human time and end-to-end cycle length across the measured payment workflow during the ongoing deployment.
What this proves

The pattern, validated.

These deployments validate the controlled inbox operating pattern behind Mach Lilies. They are not presented as MTD or Quiet Quarter performance results.

See the same operating pattern applied to UK accountancy work: watch the Monday-to-Friday demonstration (a simulation with sample data) or read how Quiet Quarter is scoped for accountancy practices.

The next useful step

Bring us one chase loop.

We will tell you whether it is worth installing, what can move safely and what must stay human-led.

Book a fit call Take the readiness scorecard