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AI use-case sprint · Readout Oct 2, 2026

Start with quoting. Three quick wins are worth $1.65M a year.

An RFQ quoting assistant leads the 18 use cases scored for Kelvane. The pilot's goal is quotes in three hours or less instead of seven. Built out, the assistant pays back in month 8.

Prepared for Kelvane Precision Components18 use cases · 6 workshops · 4 platforms comparedEngagement Sep 21 to Oct 2, 2026
Use cases scored
18
5 quick wins and 5 strategic bets
Top three, a year
$1.65M
Quoting, invoices and maintenance
Target quote time
2.4 h
Business-case assumption, from 7.0 today; the pilot gate is 3.0
RFQ assistant payback
Month 8
$165,000 to build, $4,500 a month to run
The answer

Pilot the RFQ quoting assistant first

Run a 12-week pilot of the RFQ quoting assistant from Oct 19, then fund invoice matching and the maintenance assistant. Together the three are worth $1.65M a year.

Quoting scored highest of 18 use cases on value and is feasible with tools Kelvane already owns. The pilot is judged on two numbers: three hours or less per quote, and a median price within 5% of what the estimators would have quoted, with none beyond 10%.

Quoting is the bottleneckEstimators spend 7.0 hours on each of 2,000 RFQs a year, and customers wait 6 days for an answer.
The data is ready11 years of quotes, routings and actual costs sit in SAP and the estimating spreadsheets.
Kelvane already owns the platformMicrosoft 365, Teams and an Azure agreement are in place, so there is no new platform vendor to onboard.

Not yet. Autonomous supplier negotiation and generative fixture design scored below 50. Negotiation would need a person to approve every commitment, and fixture design needs the CAD history organized first.

What would change the answer. If customer NDAs bar drawings from Kelvane's Azure tenant, start with invoice matching instead and run quoting on the drawings customers allow.

Why now: in a Deloitte survey reported in January 2025, 55% of industrial product manufacturers already used generative AI tools, and more than 40% planned to raise AI and machine-learning investment over the following three years (Digital Commerce 360).

18 use cases, scored side by side

Five quick wins, five strategic bets, and two to park

Scored 0 to 100 on value, feasibility, data readiness and risk, weighted 35, 25, 20 and 20. Bubble size is annual value; $5.25M a year across all 18, before overlaps. Open any use case for the detail.

Swipe sideways to see the whole chart.

4050607080905060708090 Feasibility → Value ↑ Feasibility 70 Value 75 153718814241611101369171512
All 18 use cases with their four scores, weighted score, annual value and tier
Use caseValueFeasibilityDataRiskScoreValue a yearTier
9274727880.7$774KQuick win
7488808280.3$308KQuick win
5890848676.8$146KQuick win
8076707676.2$568KQuick win
6682788075.2$214KQuick win
8464607071.4$640KStrategic bet
5282748470.3$120KNext wave
7668528070.0$330KStrategic bet
6078667067.7$88KNext wave
7062607266.4$190KNext wave
5874647466.4$84KNext wave
6470587265.9$95KNext wave
7856507265.7$450KStrategic bet
8844486664.6$520KStrategic bet
8050566464.5$410KStrategic bet
5076627664.1$72KNext wave
5538406048.8$60KParking lot
6240443046.5$180KParking lot
The three quick wins with the most value

Three business cases worth $1.65M a year

Each case shows where the value comes from, what it costs to build and run, and when it pays back. Stress-test the cash curve with the adoption buttons.

Use case 1 · Sales and estimating

RFQ quoting assistant

Reads each RFQ package, finds parts Kelvane has made before and drafts the cost build-up for an estimator to approve.

Value a year
$773,500
To build
$165,000
To run
$4,500 a month
Payback
Month 8

Where the value comes from

Estimator time$460,000
2,000 RFQs a year × 4.6 hours saved × $50 an hour. Freed time goes to RFQs Kelvane declines today
More orders won$250,000
Quotes in 2 days instead of 6 lift the win rate one point: 20 more orders × $12,500 first-year contribution
Fewer requotes$63,500
254 requotes and pricing corrections in 2025 × $250 each

At the pilot gate of 3.0 hours a quote, estimator time is worth $400,000 and the case $713,500 a year.

Build and platform

  • Pilot $78,000, then hardening $87,000
  • Runs on Microsoft Foundry with Azure AI Search, in Teams
  • Run cost covers model use, search, hosting and support

Cumulative net value, first 24 months

Swipe sideways to see all 24 months.

−$250K$0$250K$500K$750K$1.0MStartMonth 6Month 12Month 18Month 24 Payback, month 8

As planned: payback in month 8; $277,938 net after a year and $997,438 after two.

Value, not only cash: estimator, accounts payable and technician time freed for other work counts at its hourly cost.

The right platform for each

Microsoft for quoting and invoices, AWS for the plant floor

Four platforms compared on what Kelvane already runs, where the data lives and what each use case needs.

Use case 1

RFQ quoting assistant

Microsoft Foundry with Azure AI Search, in Teams

Estimators work in Teams and Excel; customer drawings stay in Kelvane's tenant under its Azure agreement.

Use case 2

Invoice capture and matching

Copilot Studio now; SAP Business AI after the S/4HANA go-live

A small build on today's ECC. After the S/4HANA go-live, SAP's own invoice AI takes over, so this is not over-built.

Use case 3

Maintenance troubleshooting assistant

Amazon Bedrock, next to the plant data lake

Work orders and machine data already sit in the plant data lake on AWS; tablets sign in with Kelvane's Entra ID.

Four platforms compared
PlatformWhat Kelvane already hasBest fit hereCall
MicrosoftMicrosoft Foundry, Copilot Studio, Microsoft 365 CopilotMicrosoft 365, Teams, Entra ID and an Azure agreementRFQ quoting, invoice matching for now, PO entry, the service desk agentPrimary
AWSAmazon Bedrock, SageMakerThe plant data lake and nine years of work ordersThe maintenance assistant, then predictive maintenanceFor plant data
SAP Business AIJoule and AI built into S/4HANAArrives with S/4HANA in November 2027Invoice matching after go-live; demand sensingAfter S/4HANA
Google CloudVertex AI, GeminiNo footprint todayStrong for vision work, but it would add a fourth platform to runNot for the top three
Governance checklist, applied

Ten ready, seven need work, one gap to close first

Each of the top three use cases checked against the six areas of our AI governance checklist.

Governance status for the top three use cases across six areas
Area1. RFQ quoting2. Invoice matching3. Maintenance assistant
Identity and accessReadyEstimators' Entra ID group; drawings keep their SharePoint permissionsReadyAccounts payable team only; approvals stay in SAPNeeds workShared plant-floor tablets move to named sign-in before the pilot
Human oversightReadyAn estimator approves every quote; nothing reaches a customer automaticallyReadyExceptions go to AP clerks; payment approvals do not changeReadyIt suggests steps; technicians decide; it never controls a machine
Data protectionNeeds workCustomer drawings under NDA stay in Kelvane's tenant, with no model training on them; label the RFQ foldersReadyBank details masked in prompts and logsReadyManuals and work orders only; no personal data
SecurityNeeds workRFQ files come from outside: scan them and limit what the assistant can do with their contentsNeeds workNever change a vendor's bank details from an invoice; route changes to the existing call-back checkGapPlant network boundary: read-only access to the data lake and no path to machine controllers. Needs a review by the plant network team
Audit and monitoringNeeds workLog each draft with its sources and the estimator's changesReadySAP document trail plus the reason for each matchNeeds workTechnicians rate each answer; wrong answers reviewed weekly
Cost and accountabilityReadyOwner: VP Sales. Budget alert at $4,500 a monthReadyOwner: the controller. Cap at $2,500 a monthNeeds workOwner: VP Operations. Agree how cost is split across plants
Where the prototype add-on starts

One RFQ, from inbox to approved quote

The $7,500 prototype add-on starts from a clickable concept like this one, with sample data, then becomes working software on 50 of your own past quotes. Click through the four steps.

Quote assistantRFQ-2291 · Ridgeholm Off-HighwayConcept · sample data

1. Read the RFQ

Ø22.000 ±0.010HM-4410 rev C · 6061-T6
Customer
Ridgeholm Off-HighwayRFQ letter
Part
HM-4410 hydraulic manifold, revision CDrawing, title block
Material
6061-T6 aluminumDrawing, note 3
Critical feature
Main bore Ø22.000 ±0.010 mmDrawing, section A-A
Quality
PPAP level 3RFQ letter
Volume
12,000 a year in lots of 1,000RFQ letter
Quote due
Oct 9, 2026Email

2. Find similar parts

HM-392092% similar

Same: Same bore tolerance, alloy and PPAP level

Different: Two fewer ports

9,000 made in 2025 at $43.80

HM-410588% similar

Same: Same envelope and alloy

Different: Different port pattern; looser bore

4,500 made in 2024

VB-221081% similar

Same: Same bore tolerance

Different: Valve body, 6063 alloy

20,000 a year, current

3. Draft the cost

Draft cost per part for HM-4410
LineBasisPer part
MaterialBar stock at this week's price, 0.62 kg a part$6.85
MachiningHM-3920 routing plus two ports, 11.3 minutes$22.04
SetupThree setups spread over 1,000-part lots$1.65
FinishingType II anodize, outside vendor$2.40
InspectionCMM check on every bore$1.85
PPAPLevel 3 package spread over year one$0.75
FreightTo Ridgeholm's plant$1.75
Cost$37.29
Suggested price18.0% margin; HM-3920 last sold at $43.80$45.50

4. Estimator review

Quote QT-26-1187 approved$45.50 a part at 12,000 a year. The estimator checked the bore inspection plan and approved it without changes.
Estimator time
Today7.0 h
Target2.4 h
Quote turnaround
Today6 days
Target2 days
Step 1 of 4
90-day pilot plan

12 working weeks for $78,000, with a go or no-go on Jan 22

Three estimators quote 30 live RFQs both ways. The plants close over the holidays, so the pilot pauses with them.

Swipe sideways to see the whole plan.

Oct 19Oct 26Nov 2Nov 9Nov 16Nov 23Nov 30Dec 7Dec 14Dec 21Dec 28Jan 4Jan 11Jan 18 Data$14,000Build$38,000Shadow quotes$18,000Decide$8,000 Plants closed Data readyDrafts within 10%Go or no-go
Oct 30, 2026

Data ready

11 years of quotes indexed; 50 test RFQs ready

Nov 25, 2026

Drafts within 10%

The assistant drafts at least 45 of 50 test RFQs within ±10% of the final price

Jan 22, 2027

Go or no-go

3.0 hours or less per quote, and a median within ±5% of the estimators' prices on 30 shadow quotes, none beyond ±10%

What happens next

Six steps from approval to the go or no-go

  1. Oct 6, 2026Confirm customer NDAs allow drawings in Kelvane's Azure tenantLegal with sales
  2. Oct 7, 2026Name the pilot owner and three estimatorsVP Sales
  3. Oct 9, 2026Approve the $78,000 pilot and choose the build partnerSteering committee, with IT and procurement
  4. Oct 19, 2026Pilot week 1: export 11 years of quotesKelvane IT with the build partner
  5. Oct 30, 2026First gate: the data is readyPilot owner
  6. Jan 22, 2027Go or no-go on the pilot gatesSteering committee
On client readouts, Lai Long, founder and principal architect, reviews and approves every finding. This sample shows where that sign-off appears, dated Oct 2, 2026.Delivered as this interactive readout, a PDF record and the readout deck