Services
Work with me on conversational AI.
Retainers, diagnostic sprints, workshops, advisory. Engagements through Intelligent CX Consulting, LLC. Free 30-minute intro call to confirm fit.
I help teams ship conversational AI that actually works for the humans on the other side of the prompt. 20M+ users. 8+ markets. $2M saved in support costs. Your project next.
Engagement shapes
How engagements run.
- Retainer 3–12 months
Multi-month engagement
We ship, measure, iterate. You get a named partner in the room for design reviews, evals, prompt architecture, and vendor decisions until the playbook runs without me.
Best fit: Teams who have shipped AI and know where it falls short.
- Sprint 2–4 weeks
Diagnostic or discovery sprint
Fixed-scope outside read before you commit. Friction map, intent taxonomy, or eval audit, delivered with a clear proposal for what to do next.
Best fit: Teams deciding whether to build, buy, or rebuild.
- Workshop Half-day or 2 days
Team training or design sprint
Eval-driven conversation design, intent taxonomy, prompt architecture as product spec, multi-agent orchestration. For product, design, ops, and leadership audiences.
Best fit: Teams new to conversational AI or formalizing their practice.
- Advisory Quarterly
Named advisor or expert witness
Board-level or quarterly review cadence. Prompt and orchestration review, vendor evaluations, eval rubric design, and category expertise when it matters.
Best fit: Leaders who need a named specialist on call, not a full engagement.
What I actually do
Six services, one throughline.
Every line below exists because a client hit a wall that generic AI consulting couldn't move. The throughline: ship AI that holds up under production pressure, and leave a playbook your team can run without me.
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Conversation design for AI systems
End-to-end design of conversational AI interactions: prompt architectures, multi-turn flow specs, fallback design, handoff contracts. Behaves the same way on Monday morning as on Friday at 11pm.
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AI orchestration & multi-agent systems
Architecture and implementation of multi-agent LLM systems: agent boundaries, tool-use contracts, state management, and cross-system handoffs that make failures localizable.
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RAG evaluation & pipeline design
Controlled evaluation of retrieval-augmented generation pipelines: chunking strategy, hybrid retrieval comparison, citation-faithfulness checks, and production grounding patterns.
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Prompt engineering & versioned specs
Prompt architectures treated as versioned product specs with evaluation harnesses, golden-set regression, drift detection, and observability via LangFuse or equivalent.
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LLM product strategy & vendor evaluation
Strategy, scoping, and vendor selection for enterprise LLM initiatives: model comparison, cost and latency budgeting, and risk assessment under responsible-AI constraints.
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AI fluency & change management
Enabling non-technical teams to collaborate with AI tooling: operating rituals, documentation architecture, decision logs, and the Thoughtful Execution framework.
The first 30 days
How we start.
- 01
Intro call
Free 30 minutes. Fit check, problem shape, and whether I am the right person for it.
- 02
Scoping
One-week discovery and proposal. What we will ship, how we will measure it, and what rollback looks like.
- 03
First artifact
Inside 30 days. Friction map, intent taxonomy, or eval harness — depending on where you are starting.
- 04
Ship, measure, hand off
Small reversible experiments against real data. Playbooks that survive me.
Testimonials
What collaborators say.
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ManagerChristi runs on what she calls a Thoughtful Execution framework, and it's real. She doesn't ship the first idea that looks clever. She maps multiple friction points, tests against actual data, and only commits when a path earns it. I've watched her pressure-test her own thinking before anyone else gets the chance. That discipline is why her work on AI Automation moves metrics instead of just looking impressive in a demo.
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Training & Development LeadGetting 200+ non-technical employees comfortable with agentic AI is not a training program. It's patience, clear documentation, and the willingness to sit with someone until it clicks. Christi does this because she genuinely wants people to succeed with the tools, not because it's in her job description. If you want an AI program that actually lands inside an organization instead of sitting in a Notion page, she's who you want running it.
Still deciding
The full Q&A.
Rates, NDA, location and travel, case-study references, workshops, agency partnerships — answered on the FAQ.
Ready when you are.
Free 30-minute intro call. Bring the problem, the constraint, and the metric that is not moving. You will know inside the call whether this is the right fit.
Let's build
Seriously, let's chat about your next AI project.
I take a small number of engagements each quarter through Intelligent CX Consulting . If what you're reading here sounds like the thing you need, get in touch.