Proven Results

Case Studies

Real AI transformations delivering measurable ROI. See how we've helped businesses 10x their efficiency and unlock millions in value.

Vista Equity Partners – Portfolio-Wide AI Transformation

Private Equity

How a $100B PE firm deployed AI across 80+ portfolio companies to drive 23% EBITDA growth

THE CHALLENGE

Vista's 80+ enterprise software portfolio companies were falling behind AI-native competitors. Manual processes consumed 40% of engineering time, customer churn increased 15% YoY due to lack of AI features, and portfolio companies lacked AI expertise to compete. Traditional consulting approach would cost $200M+ and take 3 years.

OUR SOLUTION

Deployed Sprinter's AI Operating Partner model across entire portfolio: conducted AI maturity assessments for all 80 companies, identified and prioritized 500+ AI opportunities, implemented 120 high-impact AI pilots in 6 months, established AI Centers of Excellence in 12 flagship companies, and created reusable AI playbooks and frameworks. Cross-portfolio knowledge sharing accelerated implementations by 3x.

KEY FEATURES

Portfolio-wide AI maturity assessment framework

Proprietary AI opportunity identification engine

Cross-portfolio best practice sharing platform

AI talent augmentation and training programs

Reusable AI components and frameworks

Board-ready AI strategy presentations

LP reporting with AI value creation metrics

24/7 AI implementation support

"Sprinter transformed our entire portfolio's approach to AI in months, not years. The systematic approach and cross-portfolio learnings created $1.8B in value. They're not consultants—they're true operating partners who deliver."
— Senior Managing Director, Vista Equity Partners

RESULTS

Average EBITDA improvement

23%

Incremental enterprise value

$1.8B

AI implementations in 6 months

120

Engineering efficiency gain

67%

Customer retention improvement

42%

ROI on AI investment

18x

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Thoma Bravo – AI-Powered Deal Sourcing Engine

Private Equity

How AI automation identified 3x more qualified targets and accelerated due diligence by 80%

THE CHALLENGE

Thoma Bravo's deal team manually reviewed 5,000+ potential targets annually using spreadsheets and PDFs. Process took 6 analysts full-time, missed 60% of off-market opportunities, and took 3-4 weeks for initial diligence. Competitors using AI were winning deals with faster, more comprehensive analysis.

OUR SOLUTION

Built custom AI deal sourcing platform that ingests data from 50+ sources (PitchBook, CapIQ, web scraping), scores companies on 200+ proprietary signals, generates automated investment memos with financial analysis, monitors trigger events (leadership changes, funding rounds), and provides real-time competitive intelligence. System learns from past successful deals to improve targeting.

KEY FEATURES

Multi-source data aggregation and normalization

Proprietary scoring algorithm with 200+ signals

Automated investment memo generation

Real-time trigger event monitoring

Competitive intelligence and market mapping

Integration with existing deal management systems

Machine learning from successful deal patterns

Natural language search across all deal data

"This AI engine is like having 50 analysts working 24/7. We're seeing deals competitors don't even know exist. The quality of insights and speed of analysis has fundamentally changed how we source and evaluate investments."
— Managing Partner, Thoma Bravo

RESULTS

More qualified targets identified

Faster initial diligence

80%

Off-market deals sourced

In new deal flow identified

$12B

Analysts needed for sourcing

6→2

Accuracy in target scoring

92%

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KKR – AI Operations Platform for Portfolio Companies

Private Equity

How KKR's portfolio companies achieved 35% operational efficiency gains through AI automation

THE CHALLENGE

KKR's 100+ portfolio companies had massive operational inefficiencies: 60% of processes were manual and paper-based, data silos prevented cross-functional optimization, customer service costs consuming 8-12% of revenue, and no standardized approach to digital transformation. Each company reinventing the wheel at enormous cost.

OUR SOLUTION

Implemented unified AI operations platform across portfolio: deployed intelligent document processing for contracts and invoices, built conversational AI for customer service (70% deflection), created predictive maintenance for manufacturing companies, automated financial reporting and forecasting, and established shared AI services model. Platform customizable per company but built on common infrastructure.

KEY FEATURES

Intelligent document processing suite

Conversational AI customer service platform

Predictive analytics for operations

Automated financial planning and analysis

Supply chain optimization algorithms

Shared AI services and infrastructure

Cross-portfolio benchmarking dashboard

Change management and training programs

"Sprinter didn't just automate our portfolio companies—they revolutionized how we think about operations. The shared AI platform model means every company benefits from innovations across the portfolio. It's the biggest operational transformation in KKR's history."
— Head of Portfolio Operations, KKR

RESULTS

Operational efficiency gain

35%

Annual cost savings

$450M

Customer service automation

70%

Invoice processing accuracy

89%

Reduction in working capital

52%

Value creation in 18 months

$2.3B

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MortgageQ – AI-Driven Non-QM Guideline Intelligence

FinTech AI Platform

From messy PDFs to instant decisions: How agentic extraction turns Non-QM guidelines into auditable answers

THE CHALLENGE

Non-QM lending runs on sprawling, inconsistent PDFs—tables, footnotes, scanned images—updated frequently across 50+ lenders. Loan officers spend 4+ hours daily hunting for rules and exceptions, while borrowers cool off. Result: missed deals, avoidable declines, and $2.4M in lost revenue annually per mid-sized lender.

OUR SOLUTION

Engineered an AI system that ingests lender PDFs (including image-based content), extracts structured fields from unstructured text, normalizes data across lenders, and returns scenario-specific answers within seconds. Multiple AI agents research all eligible lenders in parallel, backed by guideline references and accessible PDFs.

KEY FEATURES

Multi-agent parallel lender research

Field normalization across divergent nomenclatures

Evidence-backed answers with guideline citations and PDF access

'Just Missed' analytics for lenders

OCR for image-based guideline pages

Human-in-the-loop confidence thresholds

ROI calculator: time savings alone covers platform cost

"The AI doesn't just help us manage Non-QM complexity—it turned it into our competitive advantage. We're closing loans 300% faster with the confidence of having a senior underwriter available 24/7."
— VP Operations, Mid-Market Lending Firm

RESULTS

Research time reduction

95%

Saved per loan inquiry

~1 hour

Lenders searchable in seconds

50+

Annual savings per LO (5 scenarios/week)

$8,915

Scenarios/week to break even

2.7

Additional revenue captured

$2.4M

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Cab-O-Matic – AI-Driven SKU Mapping Platform

B2B SaaS

AI‑driven SKU mapping that eliminates redraws and compresses multi‑manufacturer pricing

THE CHALLENGE

Cabinet dealers must quote the same plan across multiple manufacturers, but catalogs arrive as unstructured PDFs with inconsistent naming and pricing models. Traditional process requires redrawing every plan per manufacturer, manual spreadsheet rebuilds for tax/freight/labor, and error-prone cross-references. Result: 3+ hour quotes, limited alternatives, and $450K in annual productivity loss.

OUR SOLUTION

Designed an AI-driven SKU mapping solution combining visual AI catalog parser with agentic, human-in-the-loop mapping workflow. System parses PDFs/spec books, extracts and normalizes attributes into canonical feature model, generates cross-manufacturer equivalencies with constraint validation, and expands single CAD export into multi-manufacturer quotes without redrawing.

KEY FEATURES

Visual AI parser for PDFs and price lists

Canonical SKU schema with semantic reconciliation

Multi-agent candidate generation and validation

Constraint checker for dimensional compatibility

Price-group harmonization across brands

Confidence scoring with human review queue

Dealer-specific tax/freight/labor rules

Compounding knowledge base (each mapping improves system)

"This isn't just automation—it's transformation. We quote more options, close faster, and our designers focus on design instead of spreadsheets. The ROI was evident within weeks."
— Operations Director, Cabinet Manufacturer

RESULTS

Prices generated (12 months)

250,000

Saved per plan

≥2 hours

Hours returned (2.4 FTE)

~5,000

Direct labor savings/year

$120K

ROI multiple at current usage

20×

Plans/month to break even

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RPM Healthcare – Autonomous AI Care Coach

Healthcare Technology

How AI-driven patient monitoring enabled 5× coverage while reducing readmissions by 40%

THE CHALLENGE

Healthcare system managing 12,000+ chronic patients with 60 nurses. Each nurse juggling 200+ patients, spending 70% of time on routine check-ins while missing critical health deterioration signals. Manual monitoring led to 30% readmission rates, $8M annual penalties, and nurse burnout with 45% turnover.

OUR SOLUTION

Deployed autonomous AI care coach that conducts intelligent patient check-ins via voice/text/app, analyzes responses using clinical NLP models, triages by acuity with predictive risk scoring, and escalates critical cases to nurses in real-time. System personalizes education based on health literacy and integrates with Epic EHR for seamless documentation.

KEY FEATURES

Multi-modal patient engagement (voice, SMS, app)

Clinical NLP for symptom extraction

ML-based deterioration prediction models

Acuity-based intelligent triage queues

Personalized education content delivery

Real-time nurse escalation protocols

Epic EHR bidirectional integration

Regulatory compliance reporting (CMS, HEDIS)

"The AI coach transformed our care model. Nurses now manage 5× more patients with better outcomes because they focus on those who need them most. We've avoided millions in penalties while improving both patient and staff satisfaction."
— Chief Nursing Officer, Regional Health System

RESULTS

Nurse workload reduction

60%

Patient engagement (was 35%)

85%

Readmission reduction

40%

Patient coverage per nurse

5×

Penalty avoidance annually

$4.8M

Early deterioration detection

92%

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Amble Innovation – Enterprise AI Workshop Platform

Enterprise Software

How AI-powered innovation workshops scaled consulting capacity by 10× globally

THE CHALLENGE

Global consulting firm's innovation practice constrained by in-person workshop model: senior consultants traveling globally, manual synthesis taking weeks, insights trapped in sticky notes and whiteboards, inability to scale beyond 50 workshops/year. COVID-19 made traditional workshops impossible while client demand for transformation surged 300%.

OUR SOLUTION

Engineered AI-powered digital workshop platform enabling virtual collaboration with real-time transcription, intelligent clustering of ideas using NLP, automated insight extraction and theme identification, connection mapping between concepts, and integration with Accenture's knowledge bases. Platform supports async and sync sessions across time zones with multilingual capability.

KEY FEATURES

Real-time collaborative digital canvas

AI-powered idea clustering and theme extraction

Automated affinity mapping and connection analysis

Multi-language transcription and translation

Integration with knowledge management systems

Sentiment analysis and participation scoring

Executive insight reports with visualizations

Async workshop capability for global teams

"Amble didn't just digitize our workshops—it revolutionized our entire innovation practice. We can now run 10 workshops simultaneously across continents, with AI surfacing insights we would have missed. It's become our competitive differentiator."
— Managing Director, Global Consulting Firm

RESULTS

Workshop throughput increase

10×

Workshops in 12 months

500+

Insight delivery (was 3 weeks)

72 hrs

Higher quality score

30%

Consulting revenue enabled

$18M

Client satisfaction (was 65%)

87%

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TrueLetter – Programmatic AI Content Engine

Content Automation

How AI-generated content at scale drove 400% organic growth and $3M incremental revenue

THE CHALLENGE

E-commerce aggregator needed 10,000+ unique product pages for SEO dominance but had 2 content writers producing 5 pages/day. Manual approach would take 5.5 years and $2M in writer costs. Competitors launching 500+ pages daily while client losing organic rankings. Google's helpful content update demanded high-quality, unique content at scale.

OUR SOLUTION

Built end-to-end AI content pipeline that scrapes product data from 50+ sources, analyzes reviews using sentiment models, generates unique long-form content with E-E-A-T signals, creates comparison tables and buying guides programmatically, and optimizes for featured snippets and SGE. System includes quality scoring, plagiarism detection, and human review workflow.

KEY FEATURES

Multi-source product data aggregation

Review mining with sentiment analysis

E-E-A-T optimization for Google guidelines

Dynamic comparison table generation

Programmatic FAQ and buying guide creation

Featured snippet and SGE optimization

Plagiarism detection and uniqueness scoring

A/B testing framework for content performance

"This AI engine accomplished in 3 months what would've taken our team 3 years and $2M. We went from invisible to dominating long-tail searches. The ROI is extraordinary—we're now the category leader in organic traffic."
— VP Growth, E-commerce Aggregator

RESULTS

Pages live in 90 days

10,847

Organic traffic growth

400%

Uniqueness score average

98.3%

Attributed revenue (6 months)

$3M

Featured snippet capture rate

73%

Cost per page (was $200)

$0.85

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