What we build and how we help.
OPZET's work spans five service areas. Each one can stand alone or connect to a broader AI implementation program.
01
Strategy and Advisory
Who it's for: Organizations that know they need to do something with AI but aren't sure where to start, what to prioritize, or what to build first.
What's included:
- AI Readiness Assessment and Audit
- AI Strategy and Roadmap Development
- Fractional AI Lead / Advisor (ongoing)
- Vendor and Tool Evaluation
- Executive Briefings and Workshops
What you get:
A written assessment or roadmap with prioritized recommendations — not a slide deck full of frameworks. Specific, actionable guidance on what to build, what to buy, what to skip, and in what order.
Typical engagement:
1–3 weeks for a discovery and assessment. Ongoing advisory available on a monthly retainer.
02
Custom AI Development
Who it's for: Organizations ready to build a specific AI system and needing the technical expertise to get it done properly.
What's included:
- LLM Integration and Prompt Engineering
- Retrieval-Augmented Generation (RAG) Systems
- AI Agent Design and Development
- Model Fine-Tuning and Evaluation
- Custom AI Application Development
What you get:
A production-ready AI system built to defined acceptance criteria — not a prototype that requires six more months of internal work before it can be used.
Typical engagement:
2 weeks (POC) to 16 weeks (full build), depending on scope.
03
Workflow Automation
Who it's for: Organizations with manual, repetitive processes that AI can take over or meaningfully accelerate.
What's included:
- AI Workflow Design and Architecture
- No-code and Low-code Automation Builds
- Custom Code Automation
- Integration with Existing Systems (CRM, ERP, internal tools)
What you get:
A documented automation that runs reliably, integrates with the tools your team already uses, and reduces the manual overhead it was designed to eliminate.
Typical engagement:
2–8 weeks depending on complexity and integration depth.
04
Data and Infrastructure
Who it's for: Organizations whose AI ambitions are blocked by data quality, data access, or a lack of the infrastructure that AI systems require.
What's included:
- Data Preparation and Pipeline Design
- Data Cleaning and Annotation Oversight
- Vector Database Setup and Configuration
- Cloud Infrastructure for AI Workloads
What you get:
A data environment that AI systems can actually use — clean, structured, accessible, and maintained.
Typical engagement:
Scoped per project. Often included as a phase within a larger development engagement.
05
Training and Enablement
Who it's for: Organizations investing in AI tools who need their teams to understand, use, and trust those tools.
What's included:
- Team AI Literacy Workshops (half-day and full-day)
- Custom Training Program Development
- Ongoing Coaching and Q&A Sessions
- Documentation and Knowledge Transfer
What you get:
A team that is equipped to use AI systems well — not just handed a tool with no context.
Typical engagement:
Half-day to full-day workshop, or ongoing monthly coaching sessions.
Not sure which service fits your situation?
Most engagements start with a conversation about the problem, not a service menu. Tell us what you're trying to solve and we'll tell you honestly whether we can help.
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