Selected Work

Real problems. Practical systems.

I don't want this page to feel like a trophy cabinet. The work is more useful when you can see the problem, the thinking behind the solution, and what changed.

03 Architectural Studies · Qualitative Value
01 — CRM & AUTOMATION PIPELINE B2B Professional Services Firm
CRM Automation Lead Management

Turning a manual lead process into an automated follow-up system

The Challenge

A service business was managing lead follow-up manually. New enquiries came through different channels, and keeping track of who had been contacted depended heavily on people remembering to do it.

Friction point: Inconsistent response latency & lead leakage
What I Worked On

I mapped the lead journey, structured the CRM pipeline, and built automated follow-up and internal notification workflows.

Execution: Pipeline architecture & event-driven triggers
The Outcome

The business had a clearer process for handling new enquiries, less repetitive work for the team, and better visibility into what was happening with each lead.

Result: Systematic clarity & zero neglected opportunities
schema System Architecture: Automated Lead Ingestion & Triage
Specification Diagram · V2.4
Stage 01 hub

Multi-Channel Ingestion

Centralized listening webhooks across inbound interfaces.

  • Web Consultation Forms
  • Inbound Email Routing
  • Direct Partner Inquiries
State: Listening (24/7)
Stage 02 filter_alt

Automated Triage

Instant format sanitization and contact de-duplication.

  • Email & Domain Validation
  • Lead Classification Filter
  • Historical Record Merge
Latency: < 400ms
Stage 03 alt_route

Structured Pipeline

Dynamic status allocation across business units.

  • CRM Stage Assignment
  • Owner Auto-Assignment
  • Service Capability Tagging
Status: Deterministic
Stage 04 notifications_active

Notification Matrix

Automated client touchpoints & team alerts.

  • Instant Personalized Receipt
  • Slack / Email Dispatch
  • 48h SLA Escalation Task
Execution: Live Verified
02 — OPERATIONAL SCHEDULING INFRASTRUCTURE Healthcare Advisory & Multi-Practitioner Firm
CRM Automation Customer Communication

Making appointment management easier for a service team

The Challenge

A service business was spending too much time confirming appointments, reminding customers, and following up when appointments were missed.

Friction point: Time-sink admin and client no-shows
What I Worked On

I designed an automated communication workflow around the booking process, including confirmations, reminders, follow-up, and CRM updates.

Execution: Multi-channel reminder logic & bidirectional sync
The Outcome

The team had a more consistent process and less manual administration around appointments.

Result: Significant reduction in manual operational overhead
save_as Workflow Logic: Two-Way Synchronization & Reminder Engine
Execution Sequence
01 event_available

Intake Booking Engine

Self-serve client availability selection with qualification criteria and intake questions.

02 sync_alt

Calendar Synchronization

Two-way practitioner calendar lock, timezone normalization, and conflict resolution.

03 sms

Confirmation & Reminders

24-hour and 2-hour dual-channel SMS/Email reminders with one-click reschedule capability.

04 fact_check

CRM Status & Re-engagement

Attendance marked automatically; automated non-arrival recovery sequence triggered if missed.

03 — APPLIED AI & INTERNAL INTELLIGENCE B2B Digital Consultancy
AI Automation CRM Integration

Giving a digital agency an AI layer for lead qualification

The Challenge

The team was receiving enquiries across multiple channels and spending time responding to questions that could be handled automatically.

Friction point: Senior consultants bogged down in basic inquiries
What I Worked On

I helped design an AI-powered conversation system connected to the business's knowledge and CRM workflow.

Execution: Grounded RAG knowledge layer & CRM intent parser
The Outcome

The team could handle common enquiries more consistently, qualify opportunities, and route the right conversations to people.

Result: High-intent leads routed directly to senior leadership
psychology AI Intelligence Architecture: Context & Intent Routing
Embedded Logic Flow
Foundation

Context Embeddings

Custom business knowledge base grounded in verified agency past-work, service scopes, and rate parameters.

✓ Hallucination guardrails active
Source: Enterprise Knowledge Vector
Intelligence Layer

Intent & Budget Scoring

Conversational analysis extracting project readiness, technical requirements, timeline urgency, and budget fit.

✓ Real-time heuristic scoring
Processing: Semantic NLP
Action Node

Warm Partner Routing

High-value opportunities generate instant CRM briefing dossiers and ping senior partners with full conversation context.

✓ Qualified dossier delivered
Target: Senior Partner Calendars
Engineering Principles

Every project is different.

I don't use case studies to suggest that the same solution will work for everyone. The point is to show how I think:

01

Understand the problem

Uncovering real operational friction rather than just symptoms.

02

Design the system

Architecting clean blueprints before touching code or tools.

03

Build it

Implementing robust, stable automation and data flows.

04

Test it

Stress testing edge cases and verifying integrity.

05

Make it usable

Ensuring teams adopt and maintain the system with ease.

Next Steps

Have a business problem that technology might be able to solve?

Let's talk about it. No complicated pitch. Just a conversation about what you're trying to improve and whether I can help.

Direct Collaboration

Have a business problem that technology might be able to solve?

Let's talk about it. No complicated pitch. Just a conversation about what you're trying to improve and whether I can help.

Based in Nigeria Serving Clients Globally Direct Advisory