Most AI Strategies Never Become Reality
You want to leverage AI. Your competitors are moving. But you're stuck: "Where should we start with AI?" "How much will it cost?" "How long will it take?" "Do we even have the right data?" "Who do we hire?"
So you hire a consultant. They spend 3-6 months making a beautiful report. Then... it sits in a drawer. Budget challenges. Hiring delays. No clear execution path.
Failure 1: No Clear Use Cases
Problem: Generic "AI everywhere" strategy with vague opportunities
Impact: Team unsure where to start. Projects fail to launch.
Failure 2: Execution Gap
Problem: Strategy done. Then "go hire AI team." Long delays.
Impact: 3-6 month gap. Momentum lost. Budget redirected.
Failure 3: Unrealistic Timelines
Problem: 18-24 months to implement AI. Business moves in 3 months.
Impact: AI projects cancelled before results. Competitors move faster.
67% of AI initiatives fail to scale beyond pilot phase (McKinsey 2024)
The difference between success and failure? A clear roadmap + team ready to execute immediately.
AI Consulting That Leads to Results, Not Reports
Our AI consulting does 4 things: Assess your AI readiness (data, processes, skills, culture), Strategize your AI roadmap (identify high-ROI use cases), Staff your AI team (hire + onboard during strategy), Execute implementation start (first pilots running by week 12).
12-Week Journey: From Uncertainty to Operational AI
Assessment
Process Steps:
- 1.Audit current state (data, processes, infrastructure, skills)
- 2.Identify AI opportunities (across your business)
- 3.Define success metrics (how we measure AI impact)
- 4.Assess readiness (people, process, technology)
Deliverable:
AI Readiness Report (clear findings + prioritized opportunities)
Why It Matters:
We don't guess. We assess. That 2-week assessment prevents $500K+ wasted on wrong AI initiatives.
Strategy & Roadmap
Process Steps:
- 1.Design AI strategy (aligned with business goals, not technology for tech's sake)
- 2.Define 3-5 use cases (high-impact, measurable ROI)
- 3.Plan talent structure (what AI team you need)
- 4.Design technology architecture (systems, tools, infrastructure)
- 5.Create detailed roadmap (6-month, 12-month, 24-month phases)
Deliverable:
Strategic AI Roadmap (executable, clear, with specific use cases and metrics)
Why It Matters:
This roadmap is not theoretical. It's designed by people who will help execute it. Your team doesn't wonder "how do we do this?" They know exactly how.
Team Assembly
Process Steps:
- 1.Identify AI talent needs (from strategy phase)
- 2.Recruit AI professionals (leads, engineers, data scientists)
- 3.Onboard team (they learn YOUR business + your AI roadmap)
- 4.Pre-training (team prepares before strategy completes)
Deliverable:
Ready-to-Execute AI Team (hired, onboarded, trained)
Why It Matters:
Most consultants hand you a report and say "now hire this team." We hire it FOR you. Your team starts executing the day strategy launches.
Implementation Start
Process Steps:
- 1.Launch pilot projects (quick wins from use cases)
- 2.Build data infrastructure (pipelines, databases)
- 3.Begin model development (AI models for top 2 use cases)
- 4.Establish governance (how to manage AI, ethics, compliance)
Deliverable:
Pilot Results + Momentum (team productive, first models delivering value)
Why It Matters:
By week 12, you're not hoping things work. You're seeing results. First models live. Team productive. ROI beginning.
Do You Need AI Consulting?
You need AI consulting if you:
- Know you need AI but don't know where to start
- See competitors using AI and feel behind
- Have data but no strategy for using it
- Tried AI before and it didn't work
- Want AI but don't know how to budget
- Need a clear business case (not just "AI is cool")
- Have limited AI expertise in-house
- Want to avoid expensive, failed initiatives
If You Have...
- Already have clear AI use cases → Skip to AI Agents & Automation
- Already have AI team → Skip to AI Agents & Automation
- Need to upskill existing team → See AI CoE / Talent Development
AI Strategies That Actually Delivered Results
Manufacturing Company
We know AI could help. But where?
Our Consulting Identified:
- Predictive maintenance (avoid equipment failures)
- Quality control automation (catch defects early)
- Demand forecasting (reduce inventory waste)
- Production optimization (maximize throughput)
4-Week Strategy Deliverable:
Clear roadmap: Start with predictive maintenance (highest ROI). Team needed: 2 ML engineers, 1 data engineer. Timeline: Pilot in 12 weeks, full rollout in 6 months. Projected ROI: $1.5M/year from 4 initiatives.
Results (6 Months Later):
- Predictive maintenance live: $400K annual savings
- Quality control AI: $200K annual savings
- Other initiatives in progress
- AI team now permanent, building capabilities
"Best decision was getting clarity on WHERE to focus. Without that strategy, we would have wasted money on wrong projects."
— Plant Manager
BFSI (Financial Services)
Every bank is using AI. We're not. How do we catch up?
Our Consulting Identified:
- Fraud detection AI (reduce fraud losses)
- Risk scoring (improve lending decisions)
- Customer churn prediction (retention)
- Compliance automation (reduce manual review)
4-Week Strategy Deliverable:
Clear roadmap: Start with fraud detection + risk scoring (immediate ROI). Team needed: 3 ML engineers, 2 data scientists, 1 MLOps. Timeline: Fraud model in 8 weeks, risk model in 12 weeks. Projected ROI: $3M/year from reduced fraud + better lending.
Results (6 Months Later):
- Fraud detection live: Caught 30% more fraud attempts, $500K annual savings
- Risk scoring live: 15% improvement in loan performance
- Compliance automation: 40% reduction in manual review time
- Team hiring for 5 more initiatives
"We went from "AI is on our roadmap" to "AI is our business." This strategy was the catalyst."
— Chief Data Officer
Why Our Consulting Actually Becomes Reality
We Start Execution Immediately
Traditional:
Here's a 12-month roadmap. Let's talk in 6 months.
Us:
Here's a 12-month roadmap. Your team starts TODAY on phase 1.
Advantage: Momentum. Results. Credibility.
We Build Your Team During Strategy
Traditional:
You'll need to hire 5 AI engineers. Good luck.
Us:
We're hiring your 5 AI engineers starting week 1. They start day strategy launches.
Advantage: No delays. Team ready. Execution starts week 6.
We Focus on ROI, Not Complexity
Traditional:
Increase your AI maturity to level 3 (vague)
Us:
30% cost reduction, 25% revenue increase in year 1 (specific)
Advantage: Business case clear. Stakeholders aligned. Budget approved.
We Stay Through Execution
Traditional:
Here's the report. We're done.
Us:
We support your team through pilot phase, troubleshoot, optimize.
Advantage: Risk reduction. Quick wins. Credibility.
Choose Your AI Consulting Engagement
AI Readiness Assessment
What You Get:
- Current state analysis (data, processes, skills, culture)
- Opportunity identification (where AI can help)
- Readiness evaluation (are you ready?)
- Recommendations (what to do next)
Timeline:
2 weeks
Best For: Just getting started. Want to explore.
AI Strategy & Roadmap
What You Get:
- Everything from Assessment, plus:
- Strategic AI roadmap (3-year plan)
- 3-5 prioritized use cases
- Team structure definition
- Technology architecture
- Detailed execution blueprint
Timeline:
4 weeks
Best For: Want clear direction. Will execute yourself or with your vendors.
Strategy + Team Assembly
What You Get:
- Everything from Strategy, plus:
- AI team recruitment (through our staffing)
- Onboarding (team learns your business + roadmap)
- Pre-training (ready to execute on day 1)
Timeline:
4-6 weeks
Best For: Want strategy AND team ready. Execution ready immediately.
Full End-to-End (Strategy + Team + Execution Start)
What You Get:
- Everything from Strategy + Team, plus:
- Implementation start (pilot projects launch)
- First AI models in development
- Governance established (how to manage AI)
- Performance tracking setup
- Weekly execution support (weeks 6-12)
Timeline:
12 weeks
Full package includes AI Agents & Automation deployment + Staffing + potentially Managed Services. See those pages for details.
Best For: Want full transformation. Prefer partner model. Want to see results in 3 months.
What is AI Consulting?
AI Consulting is strategic guidance that helps companies identify where AI can deliver the highest ROI, assess organizational readiness, develop actionable roadmaps, and build teams to execute AI initiatives. Unlike traditional consulting that delivers reports, AI consulting should lead to operational AI capabilities and measurable results.
Our AI consulting does four things: (1) Assess your AI readiness (data, processes, skills, culture) (2) Strategize your AI roadmap (identify high-ROI use cases) (3) Staff your AI team (hire and onboard during strategy phase) (4) Execute implementation start (first pilots running by week 12). This ensures you go from AI uncertainty to operational AI in 12 weeks, not 12 months.
AI Consulting Facts:
- Timeline: 12 weeks from strategy to operational AI
- Cost: $50K-$150K for mid-market companies
- Output: Strategy + Team + First Results (not just reports)
- Target: Mid-market to enterprise companies
- ROI: Pilot projects show results in 2-3 months, full ROI in 6-12 months
Frequently Asked Questions
We're Confident In Our Approach
Guarantee 1: Clear Roadmap
You get a detailed, actionable roadmap by week 4. If it's unclear, we clarify for free.
Guarantee 2: Execution Ready
By week 12, your team is ready. If they're not, we train additional weeks for free.
Guarantee 3: Realistic Use Cases
Use cases in your roadmap are realistic and achievable. If you think they're not, we explain or adjust.
Guarantee 4: Results Support
We don't hand off at week 12. We support pilots through week 24. If pilots struggle, we troubleshoot.
Trusted by Mid-Market Companies
50+ AI Strategies Deployed
75% of Recommended Use Cases Now in Production
Average 2.5x ROI in Year 1
12-Week Strategy-to-Results Timeline
Focused on Mid-Market ($50K-$150K engagements)
"Best decision was getting clarity on WHERE to focus. Without that strategy, we would have wasted money on wrong projects."
Plant Manager
Manufacturing Company
"We went from "AI is on our roadmap" to "AI is our business." This strategy was the catalyst."
Chief Data Officer
BFSI Company