AI Strategy | Agentic Workflows | Responsible AI

I translate agentic AI strategy into governed workflows teams can operate.

Recruiter-facing portfolio for roles where AI product strategy, operations, CRM systems, governance, and executive reporting need to connect.

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Role fit in brief

Best aligned with AI strategy, product operations, and agentic workflow roles.

The work here shows structured thinking across readiness assessments, workflow diagnostics, CRM and sales operations agents, responsible AI playbooks, and impact measurement.

FunctionAI strategy, product operations, RevOps, responsible AI

StrengthTurning ambiguous AI goals into scoped workflows and artifacts

OutputAssessments, playbooks, dashboards, roadmaps, executive narratives

Capabilities

Role-relevant strengths across AI strategy and operations.

The portfolio is organized around the work hiring teams most often need to evaluate: judgment, structure, writing, and practical systems thinking.

Agentic workflow design

Break down operating processes into tasks, handoffs, approvals, and automation boundaries that an agentic system can support responsibly.

AI governance and evaluation

Define launch criteria, review paths, risk tiers, monitoring signals, and evaluation practices before pilots become operational dependencies.

Executive operating artifacts

Create the concise artifacts leaders need to compare opportunities, fund pilots, measure adoption, and make decisions about scale.

Interactive demo

A deterministic readiness report for agentic workflow fit.

This local demo collects structured workflow inputs, scores readiness with transparent rules, and produces recommendations, risks, next steps, and implementation notes.

Deterministic demo

Agentic AI Readiness Demo

Enter a workflow profile to generate a transparent readiness report. The current version uses local rules only and makes no external calls.

Workflow name

Primary success metric

Function area

Pipeline hygiene, CRM workflows, account research, forecasting.

Workflow type

Suggesting the next best action with rationale.

Workflow volume

Frequent work with meaningful time or quality leverage.

Repeatability

Some patterns, some exceptions.

Data readiness

Sources exist but need quality and access review.

Human review

Clear approval, escalation, and override path.

Risk level

Business impact exists, but actions can be reviewed.

Integration readiness

Some systems are accessible, but handoffs remain manual.

Governance owner

Ownership exists but responsibilities need sharper boundaries.

Score

Output report

Pilot-ready

CRM opportunity update assistant: This workflow has enough structure for a supervised pilot if evaluation and ownership are documented.

Recommendations

Create a source inventory and mark which systems are approved for agent access.
Start with supervised recommendations and measure reviewer acceptance.
Run a workflow diagnostic to separate stable paths from edge cases.

Risks

Risk is manageable if the first version stays narrow and evidence-backed.
Ownership should be documented across business, control, and evaluation responsibilities.
Integration assumptions should be tested before expanding scope.

Next steps

Write a one-page workflow brief with scope, user, decision, and success metric.
Create 15-25 representative test cases for evaluation before build.
Define launch gates for quality, risk, adoption, and human review coverage.

Implementation notes

Best starting mode: assistive agent with human review.
Primary metric: Reduce rep admin time while improving CRM field quality.
Workflow type: Recommendation in Sales / RevOps.

Selected work

Case studies written for hiring teams, not a sales funnel.

Each example shows how I structure context, problem framing, workflow logic, architecture, governance, metrics, roadmap, and reflection.

Agentic AI readiness and workflow diagnostics.
CRM and sales operations agent design.
Responsible AI playbooks and impact dashboards.

Enterprise Operations Group2026Assessment

Agentic AI Readiness Assessment

A structured assessment of where agentic AI could safely improve decision throughput, workflow quality, and operational leverage.

Functions assessed: 8
Candidate workflows: 34
Executive roadmap: 90 days

B2B Services Platform2026Diagnostic

Agentic Workflow Diagnostic

A diagnostic engagement that decomposed a high-volume operations workflow into agent-ready tasks, controls, and implementation phases.

Workflow steps mapped: 47
Automation candidates: 11
Cycle-time target: -30%

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Next step

Review background or continue through the work.

The homepage gives the role fit quickly. The CV, LinkedIn profile, and case studies provide the supporting detail.

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