Pilot Proof

What a serious workflow pilot proof asset looks like.

This is the type of proof a buyer should expect before approving broader rollout: one workflow, one owner, measurable before-and-after movement, human checkpoints retained, and a safe rollback posture.

Representative example: anonymized workflow, concrete scorecard, real buyer-facing proof shape.

Representative pilot snapshot

An anonymized support-operations workflow review

This page shows the structure and proof density a serious buyer should expect. The workflow is anonymized, but the scorecard is concrete: who owned it, what was broken, what changed, and whether the control path remained intact.

Workflow owner
Support operations manager
Systems touched
CRM, help desk, internal docs, manager approval queue
Baseline turnaround
26 hours median for escalation-ready response
Baseline rework
2.3 rewrites per complex case
Human checkpoints retained
Manager approval on risky cases remained in place
Rollback posture
Previous approved version remained available during pilot release
Before / After scorecard

The pilot must change the workflow, not just generate nicer text.

Turnaround time
42% faster
Pilot result
Before
26 hours median
After
15 hours median
Manual rewrites
61% lower
Pilot result
Before
2.3 per case
After
0.9 per case
Escalation packaging quality
Approval review cleaner
Pilot result
Before
Inconsistent
After
Standardized first-draft package
Control path
Operationally safer
Pilot result
Before
Informal
After
Approval-aware + rollback-ready
Pilot timeline

How the proof was built

1. Workflow map

The team named one workflow instead of a vague AI ambition.

The workflow was support escalation. The pain was delay, inconsistent drafts, and repeated manager rewrites across CRM notes, internal docs, and approval handoffs.

2. AI-worthy step

TPPC isolated the first response package and case summary as the AI-owned step.

High-risk approvals stayed human-owned. The pilot only touched the step that created the most delay and rewrite drag.

3. Governed implementation

The workflow became a structured operating path instead of a loose prompt experiment.

TPPC defined the workflow logic, output contract, quality expectations, approval boundary, and fallback behavior for the version under review.

4. Proof and review

The workflow was judged on business outcomes and control, not “did the draft look nice?”

The review focused on turnaround time, manual rewrite reduction, approval retention, and whether the workflow could fall back safely if behavior regressed.

Business proof

  • One named workflow and one owner
  • A measurable before-and-after scorecard
  • Pilot framed around cycle time and rework, not vanity AI metrics

Control proof

  • Human approvals stayed where risk remained
  • The workflow was versioned before release
  • Rollback stayed visible during pilot rollout

Expansion proof

  • The team could decide whether to expand or hold for more proof
  • The pilot created a sponsor-ready review packet
  • The workflow now had an operating record, not just a chat success

Before you fund an AI pilot, find the step worth implementing.

Run the free fit check first. If TPPC understands the workflow, the one-time $295 review returns the AI-worthy step, human boundary, risk gates, evidence plan, and rollout recommendation automatically.

No subscription or meeting required. If one missing fact could change the decision, TPPC asks one secure clarification and resumes automatically.

Most complete reviews are delivered as a secure report and executive PDF within 10 minutes.