Strategic AI & Platform Consulting
Not every engagement requires building software. Sometimes the highest-value work is helping you avoid expensive mistakes, validate your strategy, or build internal capabilities.
That's where our consulting services come in.
Who Benefits from Consulting
Organizations Exploring AI
You know AI is important, but you're not sure where to start:
- Which AI use cases deliver the most value?
- What's the realistic timeline and investment?
- How do we build vs. buy vs. partner?
- What are the risks and how do we mitigate them?
Technical Leaders Facing Platform Decisions
You're responsible for technology strategy but need external validation:
- Should we modernize our architecture?
- Monolith vs. microservices for our use case?
- AWS vs. Azure vs. GCP?
- Build internal platform team or outsource?
Teams with Failed Initiatives
A previous platform or AI project didn't deliver. You need to understand why and chart a better path:
- Why did our AI chatbot fail?
- How do we rescue a struggling platform project?
- What governance is needed to prevent future failures?
Our Consulting Services
AI Readiness Assessment
Duration: 2 weeks
Investment: $15K - $25K
We evaluate your organization's readiness for AI adoption:
- Data Assessment: Quality, availability, governance
- Technical Capability: Infrastructure, skills, tools
- Use Case Prioritization: Which AI initiatives deliver maximum value
- Risk Analysis: Compliance, security, ethical considerations
- Roadmap: Phased approach to AI adoption
Deliverable: Comprehensive report with prioritized recommendations
Platform Architecture Review
Duration: 1-2 weeks
Investment: $10K - $20K
We review your existing or planned platform architecture:
- Architecture Analysis: Identify scalability bottlenecks
- Security Review: Vulnerability assessment
- Compliance Check: SOC 2, HIPAA, GDPR alignment
- Performance Optimization: Cost and speed improvements
- Technical Debt: Prioritized remediation plan
Deliverable: Technical report with specific recommendations
AI Governance Framework
Duration: 3-4 weeks
Investment: $25K - $40K
We help you establish AI governance that enables rather than blocks innovation:
- Policy Development: AI usage policies tailored to your industry
- Approval Workflows: Streamlined processes for AI initiatives
- Risk Framework: AI risk assessment methodology
- Monitoring Approach: What to track and how
- Training Plan: Educating teams on responsible AI
Deliverable: Complete governance framework with templates and training materials
Technology Strategy Session
Duration: 1 day
Investment: $5K
Intensive strategy session with your leadership team:
- Technology landscape review
- Competitive analysis
- Build vs. buy decisions
- Vendor evaluation criteria
- Investment prioritization
Deliverable: Strategy summary with decision framework
Team Augmentation
Duration: Flexible (monthly engagements)
Investment: $15K - $30K/month per consultant
Embed our experts in your team:
- Technical Leadership: CTO/VP Engineering guidance
- AI Expertise: ML engineers and data scientists
- Platform Architecture: Senior architects
- DevOps/SRE: Infrastructure and reliability experts
Fractional CTO Services
Duration: 6-12 month engagements
Investment: $10K - $20K/month
Part-time technology leadership for organizations that need strategic guidance but aren't ready for a full-time executive:
- Technology strategy and roadmap
- Team building and mentorship
- Vendor management
- Board/investor communication
- Architecture decisions
Our Consulting Approach
We Tell You What You Need to Hear
Not what you want to hear. If your AI initiative is doomed, we'll tell you. If your platform architecture is sound, we won't recommend unnecessary changes.
We're Implementation-Oriented
Our recommendations are actionable, not theoretical. We've built the platforms we're advising on - this isn't academic knowledge.
We Think Long-Term
We optimize for sustainable success, not quick wins that create technical debt.
We're Vendor-Agnostic
We have no partnerships or kickbacks. Our recommendations are based solely on what's best for your situation.
From Consulting to Implementation
Often, our consulting engagements lead to implementation work. That's fine - but we clearly separate the two:
- Consulting Phase: Objective analysis and recommendations
- Decision Point: You decide how to proceed
- Implementation Phase: If you choose us, we build based on the validated strategy
There's no obligation to use us for implementation. We're happy to consult even if you build internally or hire another vendor.
Success Stories
Healthcare Organization AI Strategy
Challenge: 500-person healthcare org wanted to adopt AI but didn't know where to start.
Engagement: 3-week AI Readiness Assessment
Outcome: Prioritized roadmap with 5 high-value AI initiatives, estimated ROI, and implementation timeline. They chose us to build the first two.
Fintech Platform Architecture Review
Challenge: Fintech startup with scaling issues and increasing AWS costs.
Engagement: 2-week Architecture Review
Outcome: Identified $50K/month in cost savings and scalability bottlenecks. They implemented our recommendations internally.
Enterprise AI Governance
Challenge: Fortune 500 company with shadow AI spreading across departments.
Engagement: 4-week AI Governance Framework development
Outcome: Comprehensive governance framework that reduced AI approval time from 6 weeks to 3 days while improving compliance.
When to Engage a Consultant
Consider consulting services when you:
- Need expert validation before major investments
- Lack internal expertise in AI or platform development
- Want an objective assessment of current initiatives
- Need to build board/investor confidence
- Are between technology leaders (interim CTO)
- Want to upskill your team through knowledge transfer
Let's Start a Conversation
Strategy work begins with understanding your specific situation. Schedule a free 30-minute call to discuss your challenges and see if consulting services make sense for you.
- Anthony Narcise, Founder & CEO