Selected work
CASE STUDY / 03Intelligent automation

From signal to action.

An AI-driven sales workflow connecting discovery, enrichment, contextual research, personalized content, human approval, and scheduled delivery.

THE PROJECT

AI Lead Outreach & Sales Automation Platform

Organization
Wishtree Technologies
Context
Professional / client work
PythonFastAPIGeminiApollo.ioApifyMongoDB
THE SYSTEM / EXPLORE THE FLOW

From a lead to a considered message.

An outreach workflow connecting discovery, enrichment, research, personalized content, review, and delivery.

TRY IT YOURSELF

Follow the steps or watch the flow. This interactive illustration uses sample data; client implementations remain private.

Read the engineering story

An outreach workflow, with judgment

SAMPLE / INTERACTIVE
01 / Research
ILLUSTRATIVE LEADNorthstar Operations

Operations team exploring ways to simplify recurring customer follow-ups.

ResearchPersonalizationHuman review
CONTEXT FOR THE DRAFT

Focus on the team’s follow-up workflow. Connect the message to a specific operational need.

Human approval requiredThe scheduling step stays locked until you approve.

Bring relevant lead context into the workflow.

01 / THE PROBLEM

Where the work begins.

Outreach involves a sequence of dependent tasks: discover a relevant opportunity, understand the lead, research the context, create a useful message, and decide when it should be delivered.

02 / THE SYSTEM

A system around the need.

A connected sales automation workflow for job and opportunity discovery, lead search, enrichment, contextual research, personalized generation, approval, scheduling, delivery, and auditing.

Core capabilities

  • Opportunity and lead discovery
  • Lead enrichment
  • Contextual research
  • Personalized content generation
  • Human approval
  • Scheduling, delivery, and workflow auditing
03 / MY CONTRIBUTION

Connecting the pieces.

I worked on AI workflow automation and integrations at Wishtree Technologies across discovery, enrichment, generation, and business processes using Python, FastAPI, and connected APIs.

ENGINEERING FOCUS

Preserve research through each handoff and keep human approval explicit before delivery.

04 / ENGINEERING

Beyond the happy path.

The design challenges that matter for this kind of system.

01

Keeping context through the pipeline

Research and enrichment must remain useful to downstream generation. Each step needs a clear purpose and a meaningful handoff.

02

Human judgment at the right point

Approval is an explicit stage before scheduling and delivery. This keeps generated content within a reviewable workflow.

03

Visible execution

A multi-step workflow needs auditable state so an operator can understand which stages have completed and what comes next.

05 / OUTCOME

What the system enables.

A connected outreach pipeline that brings research, generation, review, and delivery into an auditable business workflow.

Automation is most useful when it preserves context and makes the human decision point explicit.

This case study presents a qualitative, conceptual overview. Client identities, internal implementation details, and performance metrics are not disclosed.

KEEP EXPLORING / 04

One goal. Many perspectives.

Multi-agent AI

All selected work