Logic Consulting
Turn AI
Into Your
Unfair Advantage
Software development, AI implementation, and tech team leadership that scales.
20+
Years shipping software
FREE
Consultation
01 How We Operate
Operating principles
Four convictions that shape every engagement.
01
Execution over theater
We ship.
Strategy decks are easy. Standups, code reviews, deployments, and honest post-mortems are how we operate.
02
Fractional ≠ part-time
Full engagement, scoped right.
A fractional CPTO is not a part-time hire. We're deeply embedded in your organization, making real decisions with real consequences. The difference is structure — not commitment.
03
AI that earns its cost
No hype. ROI only.
We implement AI where it has a measurable return: workflow automation, decision support, predictive maintenance. We don't chase trends. We find the specific use case where AI earns its deployment cost within months.
04
Ownership at every level
We act like it's our company.
We hold the same accountability standard for our work that you hold for yours. That means surfacing hard truths early, protecting timelines aggressively, and never hiding behind scope.
02 What We Do
Three ways we engage
Each service is a complete engagement model, not a menu item. We scope carefully, then execute.
Software Development
From whiteboard to production.
We design, build, and ship web applications, APIs, and internal tools. Full-stack teams or targeted specialist augmentation — scoped to what you actually need.
Definition of Done
- Scoped architecture review & roadmap
- Production-ready code with documentation
- CI/CD pipeline & deployment infrastructure
- Handoff to your internal team with runbooks
AI Implementation
AI that earns its deployment cost.
We identify, prototype, and deploy AI use cases with measurable ROI. No hype, no hallucinated savings — just specific systems that reduce cost or create value.
Definition of Done
- Use-case discovery & ROI modeling
- LLM integration or fine-tuned model deployment
- Workflow automation pipelines
- Training staff to leverage AI infrastructure
Fractional CPTO
Senior technical leadership, scoped right.
Embedded executive-level technical leadership without the full-time price. We own the technology roadmap, manage teams, and report to the CEO/board.
Definition of Done
- Technology strategy & board reporting
- Engineering team hiring & management
- Build vs. buy decisions
- Vendor & architecture oversight
03 Engagement Model
How we work
Three phases. Clear deliverables at each gate. No scope creep, no disappearing acts.
Week 1–2
Assess
We audit your current stack, team, processes, and goals. We identify the highest-leverage opportunities and the landmines you're about to step on.
Outputs
- → Technical audit report
- → Risk register
- → Prioritized roadmap
Week 2–4
Architect
Design the system that fits your constraints — budget, team capacity, timeline, regulatory context. No over-engineering. No technical debt that expires in 18 months.
Outputs
- → Architecture decision records
- → Build vs. buy analysis
- → Sprint plan
Ongoing
Build & Deliver
Execution. Weekly deliverables. No surprises. We maintain a live project dashboard and a direct channel to whoever owns the P&L.
Outputs
- → Working software in production
- → Runbooks & documentation
- → Team knowledge transfer
04 FAQ
Common questions
From technical buyers, operators, and first-time fractional CPTO clients.
What does "fractional CPTO" actually mean in practice?
It means you get a senior technical executive (Chief Product and Technology Officer) who is embedded in your company — attending your leadership meetings, managing your engineering team, making real architecture decisions — but structured as a contract engagement rather than a full-time hire. Typically 20–40 hours per month. You get executive-level judgment without the $300k+ fully-loaded cost.
How is this different from a typical software agency?
Most agencies optimize for scope and billable hours. We optimize for outcomes. We will tell you when you don't need something, recommend against a build if a SaaS tool covers 90% of the need, and we measure success by what ships and works — not by hours logged.
Do you work with companies that already have an engineering team?
Yes — and that's often our best engagement model. We work alongside your existing team as a technical leadership layer, a senior architect, or a specialist for a specific initiative your team doesn't have bandwidth for.
What does your AI implementation work involve?
It starts with a use-case discovery process where we identify where AI creates measurable ROI in your specific workflow. We prototype, validate, and then build production-grade systems. We don't hand you a prompt wrapper and call it an AI product — we build real systems with monitoring, accuracy tracking, and fallback logic.
What's your typical engagement timeline?
Discovery and scoping: 1–2 weeks. Architecture and planning: 2–4 weeks. Execution: project-dependent, but we establish clear milestones and deliverable gates from the start. Most initial engagements run 3–6 months, with many continuing as ongoing partnerships.
How do we get started?
Book a 30-minute discovery call. We'll ask about your business, your current technical state, and what you're trying to accomplish. If there's a fit, we'll scope a proposal within one week.
Ready to build?
Let's talk about what you're trying to accomplish.
30-minute discovery call. No sales pitch. Just a direct conversation about your technical challenges.