AI
USE CASE
Churn Prediction & Retention Models
AI analyzes customer behavior patterns to identify at-risk accounts before they leave. Proactive intervention increases retention rates and lifetime value.
Custom AI Agents & Avatars
Leverage intelligent agents for sophisticated customer service and inquiry management, enabling you to scale capacity without increasing headcount. Also utilize AI Avatars for employee coaching and retention.
Anomaly Detection & Quality Control
AI monitors systems, production lines, or data streams for real-time detection of defects, fraud, or failures. Reduce costly errors and anticipate equipment failure.
Process Automation & Workflow Optimization
Eliminate manual bottlenecks by automating repetitive tasks—report generation, data entry, document processing. Free your team for higher-value work.
Revenue Intelligence & Forecasting
AI analyzes sales pipeline data, market signals, and historical patterns to deliver accurate revenue forecasts and identify growth opportunities.
Data Enrichment & Lead Scoring
Automate list building, contact enrichment, and lead qualification. AI prioritizes prospects most likely to convert, increasing sales efficiency.
THE PROBLEM
Why 95% of AI Projects Fail
(And How to Lead Despite the Odds)
According to MIT research, 95% of AI projects never scale beyond proof-of-concept. The problem isn't the technology, it's the absence of unified strategic leadership.
FAQ
Lack of Workforce Adoption
You invested millions in an AI system that performed flawlessly in testing. Six months later, your team isn't using it. The reason? People transformation wasn't part of the plan. Without education, change management, or addressing employee concerns about job security, adoption fails before the technology does.
2. Lack of Internal Technology Expertise
You excel in your field, but navigating the AI landscape—vendor evaluation, contract negotiation, data infrastructure—falls outside your core expertise. Even successful pilots fail to scale without someone who can translate business needs into technical execution.
3. Lack of Vendor Accountability
Consultants deliver strategy decks and disappear. Vendors push their products instead of solving your unique problems. No one owns the outcome. No one is accountable for ROI.
APPROACH
1
Technical Counsel & Vendor Management
Technology advisory to CEO with direct CTO oversight of all technology decisions including build vs. buy evaluations, vendor selection and accountability, contract negotiations, and data ownership strategy. Manage staffing resources on projects, oversee technology department delivery, and establish KPIs to measure technical team performance and project outcomes.
2
AI Education & Readiness
We drive workforce transformation through readiness assessments, customized training, and change management strategies. Your team learns to leverage AI as a force multiplier—ensuring your investment delivers maximum value from day one.
3
Execution of AI Solutions
We don't just advise—we build. Our managed teams, led by CTO-level leadership, develop AI agents, automation workflows, and custom solutions. When vendors are the right choice, we manage their performance. When custom development creates a competitive advantage, our teams deliver it.
We Don't Execute Without Clear ROI
Every project starts with math, not hope.
Trusted by Leaders Who Refuse to Settle for Mediocre Technology
Recent AI Transformations
Family First Homecare - Healthcare AI Transformation
Mid-market healthcare company needed to evaluate an AI vendor, build organizational readiness, and create a long-term technology roadmap.
Vendor decision with protected data ownership and exit clauses
AI readiness assessment across all departments
Board-ready 2026 technology roadmap with ROI projections
Technology recruiting infrastructure for future hires
FAQ
FREQUENTLY ASKED QUESTION
