Strategic AI Capabilities, Built to Last
Rabb Consulting Group helps enterprise and public-sector teams build GenAI systems they can trust, explain, and scale responsibly. No hype, no black boxes. Just clear outcomes.
Services
End-to-end support for teams that want GenAI capabilities built right, from strategy through delivery.
GenAI Strategy and Roadmapping
Translate AI potential into a sequenced plan your team can execute. From capability audits to phased roadmaps, grounded in your actual constraints.
Responsible AI Governance
Attribution, audit logging, content safety, and ethical integration standards. Governance built into the delivery pipeline, not bolted on after.
Enablement Workshops
Hands-on workshops for analysts, engineers, and product teams. Python, SQL, responsible use standards, and practical AI literacy, tailored to your domain.
Prototype and Pipeline Development
From NL-to-SQL interfaces to RAG pipelines and training data tools. Working prototypes that demonstrate what is possible and ship into production.
Observability and Evaluation
Dashboards and evaluation frameworks to track usage, performance, and adoption. Know what your AI systems are actually doing, and where they fall short.
NL-to-SQL and Data Access
Natural language interfaces to structured data, built responsibly. Schema-aware generation, access controls, and evaluation layers included.
Core Capabilities
The technical building blocks behind every engagement.
Grounding and RAG
Retrieval-augmented systems with reliable sourcing
Evaluation Frameworks
Structured methods to measure model quality
Safety and Guardrails
Content controls and boundary enforcement
Observability Dashboards
Real-time visibility into AI system behavior
NL-to-SQL Pipelines
Language-to-data with access controls built in
Analyst Enablement
Workshops that change how teams actually work
Selected Work
Experience includes work supporting federal, financial services, and hospitality organizations. Client names listed for context; details available upon request.
How I Work
A structured approach from discovery to handoff, built for teams that need to ship and scale.
Discovery
Understand your team, existing stack, data landscape, and the specific outcomes you need. No assumptions.
Strategy
A sequenced roadmap with responsible AI baked in from the start. Prioritized by impact, constrained by what is actually buildable.
Build
Hands-on prototyping and workshop delivery. Working alongside your team, not just advising from the sideline.
Measure
Evaluation frameworks and observability dashboards that tell you what is working, what is not, and why.
Scale
Documentation, training materials, and institutional handoff. Your team owns what we build together.
FAQ
- What types of organizations do you work with?
- Primarily enterprise and public-sector teams that are building or scaling GenAI capabilities. That includes federal agencies, financial services firms, and large enterprise orgs. The common thread is teams that want AI done carefully, not just quickly.
- What does responsible AI mean in practice?
- Concretely: attribution logging so you know which outputs came from AI, evaluation criteria defined before you build rather than after, content controls in the MVP rather than bolted on later, and ongoing stakeholder loops rather than one-time policy reviews. It means baking accountability into the delivery process.
- Do you offer fixed-price or retainer engagements?
- Both. A focused workshop or prototype can be scoped as a fixed deliverable. Ongoing advisory or embedded support works well on a retainer. The right structure depends on your problem. We can figure that out on a call.
- What does a typical engagement look like?
- It varies. A common starting point is a discovery session followed by a focused prototype or workshop. Some engagements are multi-month with embedded delivery work. Others are advisory only. The scope is always driven by what your team actually needs, not a packaged offering.
- Can you work with our existing tools and cloud environment?
- Yes. The work is designed around your stack, not a preferred vendor set. Python and SQL are the primary languages. Cloud environments, specific model providers, and existing infrastructure are all factors we work within.
Ready to build AI capabilities your team can trust?
Start with a 20-minute call. No sales pitch, just a direct conversation about your problem and whether I can help.