Get expert guidance on AI strategy, model selection, and implementation. <strong>16+ years of experience</strong> helping businesses adopt AI successfully.
67% of AI projects fail—avoid costly mistakes with expert guidance
The Pain: Companies waste $2M-$10M on failed AI projects: wrong use cases (automating what shouldn't be automated), wrong technology (forcing LLMs where rules work better), wrong expectations (AI can't fix broken processes). 67% of AI projects never make it to production.
The Solution: Strategic AI Consulting: Rigorous ROI-First Approach. We assess every AI opportunity through business value lens: will this save $X in costs or generate $Y in revenue? We kill bad ideas FAST.
The Pain: Teams experimenting with ChatGPT, Claude, random AI tools with no coherent plan. Marketing wants AI chatbots, Sales wants lead scoring, Ops wants automation—all competing for budget. No data strategy.
The Solution: Comprehensive AI Strategy & Roadmap Development. We align AI initiatives with business strategy, prioritize based on impact/feasibility matrix, create unified data strategy.
The Pain: Companies build custom AI when $99/month SaaS works fine. Or they buy expensive enterprise SaaS ($200K/year) when 2 weeks of custom development costs $15K. No objective criteria.
The Solution: Technology Selection & Vendor Evaluation Framework. We provide unbiased build-vs-buy-vs-partner analysis: Total Cost of Ownership (TCO), capability gap analysis, vendor due diligence.
The Pain: AI works in demo, fails in production: model accuracy degrades (data drift), latency too high (users abandon), integration nightmares. 70% of AI models never deployed.
The Solution: Implementation-Focused Consulting: Production-Ready From Day 1. We design for production realities: robust MLOps, performance optimization, change management, gradual rollout.
Data-driven methodologies for AI strategy and decision-making
How we help companies make multi-million dollar AI decisions
Challenge:
Board wants AI for everything. Vendor pitched $5M computer vision system. No one knows if ROI justifies investment.
Our Solution:
Strategic ROI Analysis + Phased Pilot Approach
Consulting Approach:
Week 1: Analyze current process. Week 2: Benchmark vendor claims. Week 3: ROI modeling. Week 4: Recommendation + pilot plan.
Outcome:
Start with $150K pilot vs $5M blind investment. SAVED $4.2M on overpriced vendor solution.
4 weeks consulting + 3 months pilot
Challenge:
Epic AI module: $2M + $400K/year. Alternative: Build custom using open-source medical LLMs.
Our Solution:
Build-vs-Buy Total Cost of Ownership (TCO) Analysis
Consulting Approach:
Week 1-2: Epic assessment. Week 3: Custom build scoping. Week 4: 3-year TCO comparison.
Outcome:
Custom Build saves $2.95M over 3 years. Full control, HIPAA-compliant on-prem, no vendor lock-in.
4 weeks consulting, saved $2.95M over 3 years
Challenge:
15 departments submitted AI ideas. No prioritization framework. Political infighting over budget.
Our Solution:
Use Case Prioritization Matrix + Phased Roadmap
Consulting Approach:
Week 1: Stakeholder interviews. Week 2: Impact/feasibility scoring. Week 3: ROI modeling. Week 4: Phased roadmap.
Outcome:
Prioritized: Demand forecasting ($3M/year savings), Dynamic pricing ($1.5M revenue). Total 3-year ROI: 450%.
4 weeks strategy, avoided wasting $1M on wrong initiatives
Challenge:
Fintech competitors using AI everywhere. Board mandated "become AI-first in 2 years." No one knows what that means.
Our Solution:
Enterprise AI Transformation Strategy
Consulting Approach:
Month 1: Current state + competitive analysis. Month 2: Opportunity identification. Month 3: Architecture design. Month 4: Roadmap.
Outcome:
200-page strategic plan. 2-year ROI: $18M benefits vs $12M investment = 150% ROI.
4 months consulting, 24-month transformation roadmap
Challenge:
Startup (Series A, $5M funding, 50K users/month) needs product recommendations. CTO wants to build, CFO wants cheap SaaS, CEO needs unbiased recommendation.
Our Solution:
Build-vs-Buy Decision Framework + Pilot Recommendation
Consulting Approach:
Week 1: Requirements analysis. Week 2: SaaS evaluation (got Nosto to $35K/year from $50K). Week 3: ROI comparison. Week 4: Recommendation.
Outcome:
Nosto SaaS deployed in 2 weeks, cart value increased 18% (+$8/cart), $1.9M annual revenue increase, 54x ROI on $35K.
4 weeks consulting, SaaS deployed Week 6, $1.9M annual revenue increase
Challenge:
Big 4 consulting firm wants AI for productivity, new AI services, operational efficiency. 50 service lines each want different AI. No unified strategy, waste from duplication.
Our Solution:
Enterprise AI Governance + Center of Excellence Strategy
Consulting Approach:
Month 1-2: Global assessment (200+ use cases). Month 3: Consolidation strategy. Month 4: AI CoE design. Month 5: Technology strategy. Month 6: Governance framework.
Outcome:
AI CoE (20-person team), shared platform, governance. 3-Year Impact: $85M benefits vs $15M investment = 467% ROI.
6 months strategy consulting, $85M value creation over 3 years
Deep expertise across industries
Quality control costs, equipment downtime, supply chain disruption, production optimization
Computer vision ROI analysis, predictive maintenance business case, demand forecasting strategy
Phased AI roadmap: quality control ($2M savings), predictive maintenance ($5M savings). 3-year ROI: 212%.
Regulatory compliance, fraud losses, customer acquisition costs, manual underwriting
Explainable AI for compliance, fraud detection ROI, AI credit scoring feasibility, robo-advisor strategy
Enterprise AI transformation: fraud detection ($2M/year), credit scoring ($3M revenue). 150% ROI.
Clinician burnout, diagnostic errors, operational inefficiency, HIPAA compliance
Clinical decision support ROI, radiology AI business case, HIPAA-compliant AI architecture
AI strategy: radiology AI ($800K/year savings), clinical NLP ($2M value). Custom on-prem saves $3M vs vendor.
Low cart values, inventory waste, customer acquisition costs, price competition
Personalization ROI, demand forecasting business case, dynamic pricing strategy
Use case prioritization: demand forecasting ($3M/year savings), recommendations ($1.9M revenue).
Consultant productivity, proposal/research costs, resource utilization, knowledge management
AI copilot ROI, knowledge management strategy (RAG), proposal automation, AI CoE design
Enterprise AI platform: productivity gains ($25M value), new AI consulting revenue ($50M). 467% ROI.
Product differentiation, customer churn, support costs, competitive pressure
AI product strategy, build-vs-partner decisions, AI infrastructure cost optimization
Product AI roadmap: AI copilot ($8M ARR impact), smart search (25% faster workflows). $12M ARR increase.
Transparent pricing for every stage of AI maturity
1-2 weeks
4-6 weeks
10-12 weeks
8-10 weeks
Actionable insights, not shelf-ware
Everything you need to know about AI consulting
Hire consultants when: (1) Lack internal AI expertise. (2) Need unbiased perspective for build-vs-buy decisions. (3) Speed matters (4-12 weeks vs 6-12 months). (4) Political deadlock over AI budget. (5) High-stakes decisions ($2M-$10M investment). Do strategy in-house when you have experienced AI/ML team, small budget, or plenty of time to experiment.
Typical ROI: 10x-100x. Example 1: Manufacturing client saved $4.2M on overpriced vendor solution (233x ROI on $18K consulting). Example 2: E-commerce prioritization led to $3M/year savings (167x ROI). Example 3: Healthcare build-vs-buy saved $2.95M (164x ROI). If consulting helps you make ONE better decision, ROI is 10x.
Our framework is data-driven, not political: Step 1: Business Impact Scoring (revenue/cost savings). Step 2: Technical Feasibility (data availability, model maturity). Step 3: Implementation Risk. Step 4: Calculate Priority Score. Step 5: Stakeholder Alignment Workshop with objective rankings. This removes emotion/politics.
We are 100% vendor-agnostic (no kickbacks/referral fees). Recommendations based on: Technical fit, TCO over 3 years, vendor stability, lock-in risk, support quality. We'll tell you if vendor X is overpriced and negotiate contracts (save 20-40%).
We offer both. Strategy-Only: Roadmap + recommendations, you implement. Strategy + PoC: Working prototype for 1 use case. Strategy + Full Implementation: Separate engagement, $100K-$500K for production-ready system. Hybrid Model: Strategy + ongoing monthly advisory ($5K-$10K/month).
Strict confidentiality: Mutual NDA before discussions, client owns all deliverables, no case studies without permission. Data handling: Minimize access, sample data only for PoCs, secure encrypted transfer, data deletion certification after engagement. On-premise work available for healthcare, finance, government.
Early-stage consulting is often MOST valuable: (1) "Should we invest in AI?" - $5K assessment gives clear yes/no. (2) Budget in 6-12 months - start data readiness now. (3) Previous AI failure - post-mortem analysis to rebuild trust. Consulting before you're "ready" de-risks future investment.
Defined upfront: Quality of Recommendations (actionable, data-driven), Stakeholder Alignment (consensus on roadmap), Outcomes (80% of clients implement at least 1 recommended use case within 12 months, average ROI: 250%). If you disagree, we discuss, revise if new information changes analysis. Track record: 85% client satisfaction.
Let's discuss your business goals and create a clear, actionable AI roadmap that drives measurable results.
