9.5 ways to avoid
the 95% failure rate.

Owner: Business owner · Think big

1. 1. Start with one operating decision

   Name the decision that would change revenue, margin, service or risk. Write down who acts on it.

2. 2. Observe a complete case

   Follow a real request through every handoff, including the spreadsheet and inbox work missing from the process chart.

3. 3. Count the weekly volume

   Separate repeatable work from rare exceptions so the opportunity has a denominator.

4. 4. Time the current process

   Measure active work and waiting separately. A faster model will not fix an unchanged approval queue.

5. 5. Record the error baseline

   Count corrections and rework using the same definition you will use after deployment.

6. 6. Use an existing business measure

   Connect the project to a functional metric already reviewed by leadership.

7. 7. Price the consequence of an error

   Identify which mistakes waste minutes and which expose a customer to harm. Set different review boundaries.

8. 8. Choose a narrow first boundary

   Define one input, one completed outcome and the exclusions before building.

9. 9. Test the non-AI alternative

   Compare rules, a form change or a direct integration with the proposed AI workflow.

10. 10. Write the stop condition

    Agree what evidence would end or rescope the experiment and when that decision happens.

Owner: Executive sponsor · Think big

11. 11. Name the executive sponsor

    Choose one leader who can resolve cross-functional conflicts and commit operating capacity.

12. 12. Name the workflow owner

    Give a business operator responsibility for acceptance and ongoing results.

13. 13. Name the delivery lead

    Put one person in charge of the backlog, dependencies and delivery record.

14. 14. Assign integration ownership

    Identify the engineer responsible for each system connection and its failure modes.

15. 15. Put operators inside the pod

    Reserve time with people who handle actual cases, including difficult exceptions.

16. 16. Bring control owners in early

    Ask security, legal and finance to define the evidence they need before launch review.

17. 17. Protect decision time

    Schedule a weekly working review where an authorized owner can accept, revise or stop the work.

18. 18. Separate advice from approval

    Record which people advise, which approve and which can authorize production actions.

19. 19. Set a dependency deadline

    Give access requests and external dependencies an owner and date. Replan when they slip.

20. 20. Make handover a deliverable

    Agree who will operate the workflow and what documentation they need before engineers leave.

Owner: Data owner · Start smart

21. 21. Name an owner for every source

    Record the person accountable for each dataset or document family.

22. 22. Keep business definitions explicit

    Resolve conflicting meanings of fields such as income, active customer or completed request.

23. 23. Preserve source lineage

    Make important outputs traceable to the record, document passage and version used.

24. 24. Check permissions at retrieval

    Apply the user's access boundaries before returning source material to the model.

25. 25. Separate tenants and environments

    Prove that one customer or test account cannot retrieve another's data.

26. 26. Test missing and conflicting data

    Require the workflow to flag contradictions and absent evidence instead of filling gaps silently.

27. 27. Define freshness rules

    Set review dates and expiration behavior for policies, rates, procedures and reference material.

28. 28. Retire superseded knowledge

    Remove old guidance from retrieval while preserving the audit history when required.

29. 29. Clean data against one workflow

    Prioritize defects that block the chosen task, then track recurring defects at their source.

30. 30. Control retention

    Define which inputs, outputs and logs are stored, who can read them and when they are deleted.

Owner: Technical lead · Start smart

31. 31. Test the real interfaces first

    Verify read and write permissions, rate limits and representative responses before estimating the build.

32. 32. Use a sandbox with realistic cases

    Reproduce the structure of production work using approved test data.

33. 33. Build the smallest complete loop

    Carry one case from intake to a verifiable outcome before adding more features.

34. 34. Keep deterministic rules in code

    Use explicit logic for calculations, authorization and invariant business constraints.

35. 35. Separate reasoning from execution

    Have the model propose an action and a controlled service validate and perform it.

36. 36. Validate structured outputs

    Reject missing, malformed or out-of-range fields before downstream systems use them.

37. 37. Give actions a stable identity

    Use idempotency keys and provider records so a retry cannot repeat a charge, send or update.

38. 38. Handle partial completion

    Record which steps succeeded so recovery resumes safely after an interruption.

39. 39. Bound retries and spending

    Set time, attempt and cost limits for every automated run.

40. 40. Verify the receiving system

    Confirm the intended record or action exists at the destination before marking the job complete.

Owner: Risk and workflow owners · Start smart

41. 41. Classify actions by consequence

    Separate reading, drafting, reversible edits and consequential external commitments.

42. 42. Begin with observation

    Compare recommendations with human decisions before granting execution rights.

43. 43. Require explicit action authority

    Record who authorized each class of action and the scope of that authority.

44. 44. Keep approval context intact

    Show the evidence, proposed change and material uncertainty to the reviewer.

45. 45. Expire stale approvals

    Require a fresh decision when the recipient, amount, document or underlying facts change.

46. 46. Provide a working stop control

    Test that an operator can halt queued and running activity.

47. 47. Test rollback and compensation

    Document how to undo a reversible change or recover when reversal is impossible.

48. 48. Design the human handoff

    Name the recipient, trigger, case context and safe resume point for exceptions.

49. 49. Log decisions without leaking secrets

    Record enough to reconstruct behavior while excluding credentials and unnecessary personal data.

50. 50. Separate capability from authority

    A better evaluation score never grants the system new permissions automatically.

Owner: Evaluation owner · Scale fast

51. 51. Build a representative test set

    Include ordinary cases, difficult exceptions and cases the system should decline.

52. 52. Keep a held-out set

    Measure improvements on examples that were not used to tune prompts or rules.

53. 53. Define success per task

    Score the complete operating outcome, including evidence and permitted actions.

54. 54. Measure false acceptance

    Count wrong answers accepted as correct, especially on high-consequence cases.

55. 55. Measure unnecessary escalation

    Track correctable cases sent to humans and their operating cost.

56. 56. Test hostile source content

    Verify that instructions inside retrieved documents cannot override permissions or task scope.

57. 57. Test outages and degraded inputs

    Run cases with unavailable systems, unreadable files and incomplete responses.

58. 58. Compare model changes on your work

    Re-run the same cases before changing the model, prompts, retrieval or tools.

59. 59. Track cost per accepted outcome

    Include failed attempts, human review, infrastructure and recovery in the denominator.

Owner: Operations lead · Scale fast

60. 60. Teach the actual workflow

    Train people on real cases, review responsibilities and the system's known limits.

61. 61. Give people time to learn

    Budget practice and feedback inside working hours instead of adding invisible work.

62. 62. Keep correction sessions focused

    Review a bounded batch of cases with a clear decision at the end.

63. 63. Turn corrections into rules

    Record the lesson once, update the implementation and add a regression case.

64. 64. Show whether the error returned

    Close the feedback loop with a result the operator can inspect.

65. 65. Give questions a home

    Maintain an owned help channel, usable examples and office hours.

66. 66. Measure voluntary use

    Track whether operators use the output when they have a workable alternative.

67. 67. Be candid about role changes

    Explain which tasks and responsibilities will change without promises leadership cannot keep.

68. 68. Support governed experimentation

    Offer approved tools, data boundaries and a route from a useful prototype to maintained software.

Owner: Delivery lead · Scale fast

69. 69. Sprint 1: map and verify

    Produce the target workflow, baseline, access evidence and a scoped delivery plan during weeks 1-4.

70. 70. Sprint 2: run the standard case

    Build the first loop and evaluation set during weeks 5-8. Keep human review close.

71. 71. Sprint 3: add the Command Center

    During weeks 9-12, bring monitoring, approvals, overrides and history into one operating view.

72. 72. Sprint 4: expose hidden judgment

    During weeks 13-16, capture difficult routing decisions and test recovery paths.

73. 73. Sprint 5: prepare supervised operation

    During weeks 17-20, test runbooks, train owners and assess the first authorized cohort.

74. 74. Keep essential controls from day one

    The Sprint 3 control interface consolidates controls. It does not postpone permissions, logs or oversight.

75. 75. Review evidence at each gate

    Accept, revise or stop against agreed tests instead of treating elapsed time as completion.

76. 76. Keep the calendar honest

    100 business days means 20 scheduled workweeks. Confirm holidays, availability and dependencies in the plan.

77. 77. Bound the day-100 promise

    Treat Associate-level performance as a workflow-specific target. Expert and Elite maturity require additional evidence.

Owner: Business and finance owners · Finish strong

78. 78. Compare like with like

    Compare similar case types and workload conditions before and after the change.

79. 79. Separate capacity from cash savings

    Record time released separately from spending actually removed or revenue realized.

80. 80. Include the cost of teaching

    Count operator corrections, quality review and change management in the investment.

81. 81. Track decision quality

    Review whether faster work also meets the agreed quality and risk thresholds.

82. 82. Watch the next bottleneck

    Check whether automation simply moves the queue into approval, customer response or another team.

83. 83. Measure adoption over time

    Follow repeated use after launch rather than counting accounts or first-day activity.

84. 84. Record unfavorable results

    Keep failed cases and negative financial findings in the same review as the wins.

85. 85. Decide what earns another sprint

    Expand, deepen, repair or stop based on observed results and the next constraint.

86. 86. Keep marketing claims tied to evidence

    State what the workflow actually does, where people still review and which results are measured.

Owner: Service owner · Finish strong

87. 87. Assign ongoing service ownership

    Name the person responsible for incidents, model changes and daily operating health.

88. 88. Make the runbook executable

    Have a new operator recover a failed case using the written instructions.

89. 89. Monitor source and behavior drift

    Recheck stale data, changing workflows and deteriorating output quality.

90. 90. Maintain a provider exit path

    Keep prompts, evaluation cases, records and interfaces portable where practical.

91. 91. Preserve change history

    Version the rules, prompts, models and permissions used for each important decision.

92. 92. Reauthorize expanded scope

    Treat a new workflow or action class as a new boundary needing evaluation and approval.

93. 93. Test business continuity

    Prove the human fallback can handle the agreed workload when automation is unavailable.

94. 94. Keep the knowledge lifecycle owned

    Review new lessons, archive superseded guidance and remove duplicate sources.

95. 95. Choose the next bottleneck deliberately

    Use the evidence from this workflow to select the next investment. Do not expand merely because the demo worked.