What I bring to an AI project.
I connect the business problem, the data, the AI workflow, and the people who will use it.
Define a useful task
Turn a broad request into a specific workflow with inputs, owners, constraints, and a way to judge the result.
Discovery to Delivery
Translate vague requests into implementation plans with constraints, dependencies, and success metrics.
Account Prioritization & Risk Modeling
REACH-style scoring across 1,200+ accounts using deterministic logic and signals from CRM, conversations, support, and product systems.
Executive Partnership
Translate AI capability into executive-ready narratives focused on ROI and rollout decisions.
Build and connect the workflow
Bring information from existing systems into a tool that prepares a useful output.
LLM Orchestration
Multi-step workflows with tool calling, routing, and grounded data inputs.
Data Synthesis
Cross-system pipelines that stitch Salesforce, Gong, Totango, Zendesk, and data warehouses into one decision layer.
Workflow Design
Orchestration across platforms with explicit handoffs and write-backs.
Check the output and its limits
Test the behavior, inspect failure cases, and define where a person needs to review or confirm a result.
Prompt Engineering & Evaluation
Structured outputs, guardrails, and evaluation frameworks to verify system behavior.
Agent Design & Quality
Readiness gates, calibration loops, and write-back safety patterns. Checks can reject malformed output; factual accuracy still needs source checks and review.
Solution Validation
Stress-test before production through wireframes, pilots, A/B testing, and load testing.
Help a team use it
Explain how the tool fits the job, support adoption, and use feedback to improve the workflow.
Field Enablement & Adoption
Playbooks, enablement sessions, and recurring best-practice comms that drive adoption at scale.
Product Feedback Loops
Convert field signal into actionable product input for expertise capture and agent training.
Reliability & Observability
Telemetry, monitoring, and operator review paths to support output verification.
Tools of the trade
The stack, organized around orchestration.
The tools matter because they connect data, operators, and delivery paths into one working system.
See the systems in context
Want to see this in motion?
The Experience page covers shipped systems. The Command Center shows agents and cards in action against simulated data.