AI Consulting and Development: One Partner, Full Journey
Most companies either get consultants who write reports or developers who build what they're told. Neither works for AI. You need a partner who understands your business well enough to identify the right opportunities AND can build production systems that deliver results.
Leaders who need strategy and execution
Executives Exploring AI
Who need strategic guidance before committing to development
Failed AI Projects
Companies who need someone to diagnose what went wrong
Vague AI Ambitions
Businesses who need help identifying concrete, high-ROI opportunities
Ideas Without Confidence
Teams with AI ideas but no confidence in feasibility or build vs. buy
Outcome Accountability
Organizations that want accountability for outcomes, not just deliverables
Why strategy and development must be connected
The AI industry has a handoff problem:
- Consultants produce strategies that developers can't implement
- Developers build systems that don't solve the actual business problem
- Nobody owns outcomes when strategy and execution are separated
We've seen companies spend $500K on AI "strategies" that produced nothing but PowerPoints. We've seen others spend $1M building AI systems that didn't address the real bottleneck.
The solution isn't better consultants or better developers—it's one team that does both.
Full-spectrum AI consulting and development
AI Strategy Consulting
- AI opportunity assessment and prioritization
- Use case identification and ROI modeling
- Build vs. buy analysis
- AI readiness evaluation (data, infrastructure, team)
- Technology and vendor evaluation
- AI roadmap development
AI Development Services
- Custom ML model development
- LLM applications and integrations
- AI automation systems
- Internal AI tools and copilots
- Production deployment and scaling
- MLOps and infrastructure
Ongoing Partnership
- Model monitoring and retraining
- Performance optimization
- Feature expansion and iteration
- Team training and enablement
From strategy to production
Discover
Week 1–3We start with your business, not technology. Interview stakeholders, analyze operations, review data assets, identify AI opportunities with concrete ROI potential.
Prioritized AI opportunity roadmap with feasibility assessment
Design
Week 4–5For selected initiatives, create detailed technical designs. Architecture, data requirements, integration approach, success metrics, risk assessment.
Technical specification sufficient to begin development
Build
Week 6–14Develop the system with iterative delivery. Weekly demos, continuous stakeholder feedback, adjustment as we learn what works.
Production-ready AI system with documentation and training
Operate
Week OngoingOptional partnership for monitoring, maintenance, iteration, and expansion. Track performance against success metrics and continuously improve.
Sustained AI value with accountability for outcomes
Strategy-First AI vs. Code-First AI
| Approach | Strategy-First (Us) | Code-First (Typical) |
|---|---|---|
| First question | "What business problem are we solving?" | "What should we build?" |
| Discovery focus | Business operations, ROI potential | Technical requirements |
| Risk identified | Before significant investment | After months of development |
| Stakeholder alignment | Built into process | Often retrofitted |
| Success measured by | Business outcomes | System delivery |
| Accountability | We own results | Deliverable completion |
What strategy + execution delivers
AI opportunities identified per strategy engagement
of proposed AI projects killed early—before wasting budget
higher success rate on AI initiatives vs. industry average
to clear ROI after production deployment
Stop Separating Strategy From Execution
The best AI strategy is the one that actually gets built. The best AI system is the one that solves the right problem. Let's talk about where AI can create value in your business—and whether we're the right partner to deliver it.
Schedule a Strategy Session60-minute call with a senior consultant. We'll discuss your business, explore AI opportunities, and determine fit—no obligation.