$ Value:$4,486,817
Price:$750,000
vIQ Score:16.7%
ROI:498%
Close:Oct 14
Annual Value Delivered
$4.5m
Projected · conservative realisation rate
Annual Investment
$750k
vIQ Score: 16.7% · ROI: 498%
6× return
You Keep
$3.7m
$4.5m value − $750k investment
$374k /mo
Value foregone for every month without action. The current state isn't a neutral baseline — it's actively costing recoverable productivity, regulatory exposure, and avoidable platform spend every month the status quo holds.
Value driver breakdown · 9 improvement claims
Information Recreation Labor Elimination
Cost Reduction
$1.27m
Onboarding Productivity Ramp Recovery
Cost Reduction
$985k
Knowledge Worker Search Cost Recovery
Cost Reduction
$824k
Knowledge Assembly Labor Reduction
Cost Reduction
$647k
Incumbent KM Platform Displacement
Cost Reduction
$370k
AI Vendor Lock-In & Inference Cost Reduction
Risk Mitigation
$202k
Total projected annual value
$4.5m
Built bottom-up from Kelvaris's own operating cost data. Every driver carries an explicit attribution estimate and a named realisation rate. Structured to hold up under a finance review. · Generated by valueIQ · 20 Jul 2026
Value Driver Breakdown
Regenerate Breakdown
Value Drivers ⓘ
Customer Values ⓘ
Cost Reduction
$4,147,617
Reduce Knowledge Worker Time Lost to Daily Information Search
Kelvaris employs an estimated ~11,400 knowledge workers operating across fragmented data environments. The productivity improvement mandate (5% year-over-year) confirms search labor cost is a tracked and active pain point.
$823,680
Reduce Workforce Productivity Loss from Information Recreation
Source 7 explicitly documents accumulated layers of process variations and workarounds — a direct structural signal that information recreation is an active and material cost in the scoped divisions.
$1,268,287
Reduce Knowledge Worker Onboarding Time-to-Productivity Using Encoded Expert Knowledge
Source 5 identifies workforce readiness as a key challenge in Manufacturing SMARTfacturing digital transformation. The Manufacturing division's transformation to smart manufacturing creates ongoing hiring into knowledge-dependent roles with specialist learning curves.
$985,250
Reduce Recurring Manual Knowledge-Assembly Labor Cost
Sources 3 and 10 confirm Kelvaris already deploys LLMs specifically for regulatory documentation automation and that R&D workflows involve structured knowledge-assembly tasks at scale across three business sectors.
$646,800
Reduce Incumbent Knowledge Management Platform License Cost Through Displacement
Sources 8 and 9 confirm that Kelvaris operates multiple named AI and data platforms in R&D with active multi-vendor integration investments.
$369,600
Preserve Tacit Expert Knowledge to Reduce Successor Ramp Cost
Source 5 explicitly identifies workforce readiness as a key challenge in Kelvaris's manufacturing transformation. No source confirms an existing expert encoding or knowledge-led solution targeting this mechanism at Kelvaris.
$54,000
Reduce Automated Contract and NDA Pre-Review Labor Cost in Legal Functions
Source 11 confirms a group headcount of 63,337 with operations in 55 countries, establishing high annual user lifecycle event volume. However, the customer criteria for this driver requires reliance on manual IT provisioning for the AI/KM platform specifically.
$0
Risk Mitigation
$339,200
Reduce AI Vendor Lock-In Risk and Ongoing Model Cost Through Multi-LLM Architecture
Source 3 confirms that Kelvaris already operates multiple AI software integrations across R&D and manufacturing. Annual LLM inference spend is estimated at ~$2.8m, making model cost a visible and growing budget line.
$201,600
Reduce GDPR and EU AI Act Regulatory Fine Exposure from AI Deployment
Sources 8 and 9 directly confirm Kelvaris's EU regulatory fine exposure and active EU AI Act compliance obligations for LLM deployments in healthcare and R&D.
$105,600
Reduce Expected Annual Loss from AI-Related Data Breach or Privacy Violation
Sources 8 and 10 confirm that Kelvaris faces active regulatory exposure for AI deployments in regulated healthcare and R&D environments.
$32,000
Revenue Enhancement
$0
Enable AI Deployment in Regulated Sectors Previously Blocked by Compliance Architecture
Sources 8 and 10 confirm that Kelvaris faces active EU AI Act compliance obligations and that mainstream AI tools present data governance risks in regulated environments. However, the customer criteria for this driver requires that Compliance or Legal has previously blocked AI/KM tools on data governance grounds.
$0
Total Value
$4,486,817
Value Story · Sales Deck · Kelvaris
How Much Is Fragmented Knowledge Costing Kelvaris Each Year?
Slide structure
7 slides
Ready to share. Full-length deck: cover, value thesis, every value driver with derivation, ROI summary, and realisation plan. PDF export available.
Kelvaris · One Pager · Jul 20, 2026
$4.5m
Annual value delivered · built from Kelvaris's own operating cost data · conservative realisation rate
Monthly run rate
$374k
Foregone value per month of delay
Investment required
$750k
vIQ Score: 16.7% · ROI: 498%
Improvement claims
9
Across 3 value categories
Top value drivers
Information Recreation Labor Elimination
$1.27m
Onboarding Productivity Ramp Recovery
$985k
Knowledge Worker Search Cost Recovery
$824k
Risk Mitigation (3 drivers)
$339k
Ready to validate these numbers against Kelvaris's actuals?
Book a working session →
Discovery Guide
Internal — not shared with the buyer. Question-led prep for the Kelvaris discovery call. Surfaces the three highest-value assumptions to validate before committing to a full business case.
Opening — establish the cost baseline
Q1 · Search Cost
How much of a knowledge worker's day is spent finding information rather than applying it — and is that tracked anywhere in productivity reporting?
Why ask: our model assumes 18% of annual labor cost attributable to search. If Kelvaris tracks this, we can anchor to their number instead of our estimate — making the $824k figure unassailable.
Q2 · Recreation Labor
Are there workflows where teams are rebuilding analysis or documentation that already exists elsewhere in the organisation? Is this a known problem or a background assumption?
Why ask: the $1.27m recreation driver is based on a 22% recreation rate. A confirmed use case (regulatory submissions, R&D synthesis) moves this from a market estimate to a validated input.
Compliance — the urgency accelerator
Q3 · EU AI Act Exposure
Has Kelvaris's Compliance or Legal team begun a formal EU AI Act risk assessment for their existing LLM deployments in R&D or regulatory workflows?
Why ask: an active compliance review is the fastest path to a qualified conversation. If yes, this is our urgency accelerator — the risk driver moves from theoretical to live.
Q4 · Decision Scope
Who owns the knowledge infrastructure decision — is this led by R&D, IT Architecture, or is there a cross-functional steering group?
Why ask: the stakeholder map includes CFO, CCO, Head of R&D, and CIO. Understanding who leads helps us route the right value story to the right person first.
Co-Session Discovery · Kelvaris · Jul 14, 2026
Live Value Confirmation Session
Run this session with your Kelvaris champion. Each assumption below is presented for their validation. Answers update the value model in real time.
Assumptions to validate · 3 of 8 remaining
Knowledge Worker Search — Annual Labor Cost
$824k
Annual Knowledge Worker Labor Cost (3 divisions)
$29m · our estimate
% of time spent on information search
18% ✎
Reduction rate achievable with valueIQ
18% ✎
Information Recreation — Annual Labor Cost
$1.27m
Annual Information Recreation Labor Cost
$20m ✎
Recreation Labor Reduction Rate
22% · market estimate
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