How do you calculate the ROI of AS9102 software?

Calculating ROI for AS9102 software is less about generic percentages and more about modeling your current FAI burden vs. a realistic future state. In regulated aerospace environments, the result is always site-specific and depends heavily on process maturity, integration quality, and validation constraints.

1. Define the scope of “AS9102 software” in your environment

Start by clarifying what is actually in scope, because ROI changes depending on how much work the tool replaces or streamlines:

• Ballooning and characteristic extraction only
• Form 1/2/3 generation and data entry checks
• Integration with CMM, vision systems, gages, or SPC
• Workflow control (approvals, revision control, re-submissions)
• Supplier-facing FAI collaboration / Net-Inspect or similar portals
• Evidence trails and reporting for audits

Document which steps in your current FAI process will actually change. ROI must be calculated only on that affected portion, not on the entire quality system.

2. Establish your current (baseline) FAI cost

Next, quantify what AS9102 and FAI currently cost you. At minimum, break this into labor, delay, and quality impact.

2.1 Labor cost per FAI

For a representative set of FAIs (initial, partial, delta), measure:

• Engineering time: ballooning, characteristic definition, FAI planning, chasing revisions.
• Inspector time: measurements, manual data entry, checking forms, rework of incorrect FAIs.
• Quality/admin time: compiling packages, version checks, approvals, customer portal uploads, corrections after rejection.

Then quantify:

• Average hours per FAI by role.
• Fully loaded hourly rate for each role.
• Number of FAIs per year (by customer, part family, or program).

Baseline labor cost per year is:

Annual FAI labor cost = Σ(Avg hours per FAI per role × fully loaded rate per role × FAIs per year)

2.2 Scrap, rework, and FAI rejection cost

Next, look at quality cost directly tied to AS9102-related issues. Typical sources:

• Incorrect or incomplete FAIs leading to rejection by the customer.
• Mismatched revisions, missing characteristics, or transcription errors.
• Late-discovered process errors because characteristics were not clearly defined or linked to the routing.

From NCR/MRB or customer feedback data, estimate per year:

• Number of FAIs rejected for documentation/AS9102 reasons (not pure dimensional nonconformance).
• Average rework hours and scrap cost when an FAI issue surfaces late.
• Expedite cost (overtime, premium freight) triggered by FAI problems.

Baseline quality cost per year is:

Annual FAI-related COPQ = (FAI rejections × rework/scrap cost per event) + related expedite/penalty costs

2.3 Schedule and flow-time impact

FAIs frequently drive schedule risk, especially in high-mix, low-volume programs:

• Average additional days from “part ready” to “FAI accepted.”
• Incidents where delayed FAI approval delayed first shipment or ramp-up.
• Impacts on cash flow or liquidated damages (if applicable).

Some plants monetize this as a daily cost of delay (lost revenue, line idle time, or explicit penalties). Even if you do not convert this to dollars, track it as a separate quantified KPI (e.g., “median FAI cycle time”).

2.4 Audit and surveillance prep effort

Finally, account for the effort to produce and defend FAI records during audits:

• Hours per year spent locating, reconstructing, or clarifying FAIs for customers, primes, or auditors.
• Time spent investigating FAI discrepancies due to missing traceability (e.g., which revision of drawing, which router, which supplier lot).

Roll this into baseline cost if meaningful in your environment.

3. Estimate the “future state” with AS9102 software

Now model how those cost drivers would change with the AS9102 tool in place. This requires realistic assumptions and often a small pilot rather than pure guesswork.

3.1 Labor reduction assumptions

For each role, estimate time savings with the software’s actual capabilities and integration level:

• Engineering: % reduction in time to create ballooned drawings and characteristic lists.
• Inspectors: % reduction in re-typing measurements if linked to CMM/gages or pre-populated forms.
• Quality/admin: % reduction in time to assemble, review, and submit FAI packages.

Be explicit about dependencies:

• If drawings live in PLM and are not cleanly structured, automated ballooning may still need heavy manual cleanup.
• If CMM programs are not consistently tied to characteristic IDs, automatic data mapping may not be achievable initially.
• If your customers mandate their own portal (e.g., Net-Inspect) with rigid workflows, some manual handling remains.

Future annual labor cost is calculated the same way as baseline, applying your estimated time reductions:

Future FAI labor cost = Σ(Adjusted avg hours per FAI per role × fully loaded rate per role × FAIs per year)

3.2 Error, scrap, and rejection reduction assumptions

Next, estimate how much the software can realistically reduce FAI-related defects:

• Improved consistency of characteristic lists and revision control.
• Automatic validation of required fields and counts (e.g., “all key characteristics present and measured”).
• Reduced transcription errors due to direct measurement imports.

Align these with your baseline NCR/MRB data:

• What portion of existing events were driven by documentation or data-entry issues that the software can prevent?
• What portion stem from true process or machining issues that the software does not directly fix?

Apply a conservative percentage reduction to the addressable subset only, not to all NCRs.

Future FAI-related COPQ = Baseline FAI-related COPQ × (1 − realistic reduction %)

3.3 Cycle time and schedule impact

Estimate FAI cycle-time improvements from:

• Fewer back-and-forths with customers due to cleaner packages.
• Faster internal routing and approvals (if the tool includes workflow).
• Reduced time to stand up FAIs for repeat or family parts.

Where possible, tie this to:

• Reduced days to first article acceptance.
• Earlier revenue recognition on new programs.
• Lower risk of last-minute line holds due to missing FAIs.

Only monetize these if you have a credible method (e.g., average margin per day of delay avoided); otherwise treat them as secondary but measurable benefits.

3.4 Audit readiness and evidence trails

Estimate reductions in audit prep and investigation time if the AS9102 software maintains:

• Searchable, centrally stored FAI records linked to part, revision, and work order.
• Clear evidence of who did what and when (approvals, changes, re-submissions).

Translate this into annual saved hours for quality leadership and engineering. Note that software does not guarantee passing audits; it only improves how quickly and accurately you can produce evidence.

4. Quantify net annual benefit

Once you have baseline and future-state estimates, calculate the annual benefit:

• Labor savings = Baseline FAI labor cost − Future FAI labor cost.
• COPQ savings = Baseline FAI-related COPQ − Future FAI-related COPQ.
• Audit/administrative savings = Baseline audit/prep hours − future hours, valued at loaded rates.

Optionally include monetized schedule benefits if you have defensible numbers.

Total annual benefit is:

Total annual benefit = Labor savings + COPQ savings + audit/admin savings (+ schedule benefit, if quantified)

5. Include full lifecycle cost of ownership

Next, calculate total cost, not just license or subscription fees. In aerospace and other regulated environments, this often dominates the ROI picture.

5.1 Direct software and service costs

• Licenses or subscription fees (including any per-user or per-part fees).
• Implementation and configuration services.
• Training and documentation for engineers, inspectors, and quality.

5.2 Integration and data costs

For brownfield environments, assume non-trivial integration and data-readiness work:

• Interfaces to ERP/MES/PLM for part masters, revisions, BOMs, routings.
• Connections to CMM or metrology systems, if in scope.
• Cleaning up drawing standards and naming conventions so automated ballooning and characteristic mapping are reliable.

These often require internal IT/engineering time plus vendor or integrator services. Include both.

5.3 Validation, qualification, and change control

In regulated operations, budget for:

• Computer system validation or qualification activities (where required by your QMS or customers).
• Procedural changes, work instruction updates, and training sign-offs.
• Internal reviews and approvals (IT, quality, engineering, program management).
• Ongoing costs of regression testing and re-validation when the software is upgraded.

These lifecycle costs are a major reason full replacement of existing workflows can be risky. Many plants choose a phased coexistence strategy where the AS9102 system handles specific use cases first while legacy tools remain for others, to limit validation and change-control load.

5.4 Operational and downtime risk

Account for:

• Time spent during rollout and cutover (training, dual entry during transition).
• Contingency plans for outages or integration issues, especially if FAIs are gating shipments.
• Potential productivity dips during the learning curve.

These are often modeled as a one-time implementation cost or a short-term reduction in productivity, rather than as a recurring annual cost.

6. Final ROI calculation and payback period

Once you have annual benefits and total costs, you can compute ROI and payback. Typical metrics:

• Simple ROI (over a given period, e.g., 3–5 years):
  ROI = (Total benefits over period − Total costs over period) ÷ Total costs over period
• Payback period (how quickly benefits cover the initial investment):
  Payback period (years) = Initial investment ÷ Annual net benefit

Given the long equipment and system lifecycles in aerospace, many organizations use a 5–10 year horizon and explicitly include:

• Expected version upgrades and re-validation costs.
• Contract renewal terms and potential price escalators.
• Likelihood of needing additional modules or integrations over time.

7. Practical tips and common pitfalls

• Avoid generic “50% time savings” claims. Validate assumptions with time studies or small pilots.
• Separate what the tool can control from what it cannot. AS9102 software improves documentation and data handling; it does not directly fix machining capability or supplier quality.
• Model coexistence with existing systems. In brownfield stacks, you are unlikely to retire all legacy tools immediately. ROI should reflect a period of mixed workflows.
• Align with program-specific realities. High-change, development programs may see very different FAI volumes and benefits compared to stable, mature production.
• Be explicit about customer requirements. If key customers mandate Net-Inspect or proprietary formats, verify how the tool integrates and what manual effort remains.

In summary, calculating ROI for AS9102 software is a structured exercise in quantifying current FAI cost and risk, modeling realistic improvements given your data and integration constraints, and then comparing those benefits against the full lifecycle cost of deploying and maintaining the tool in a regulated, mixed-system environment.