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AI Automation & Systems Engineer

I build AI systems that survive contact with production.

Most "AI automations" are a single happy-path demo. I design systems — input validation, confidence-based AI routing, error handling with audit trails, and reporting — on whichever platform actually fits the job: n8n, Make, a custom Python/Node service, or a full SaaS backend. Ready to run against real traffic from day one.

Also open to remote contract & retainer engagements
n8nMakePython / Node OpenAIClaude (Anthropic)Gemini MCPLangChain PostgreSQLPGVector / Pinecone AWS / GCPDocker HubSpotStripe
// what every system i ship actually does
Trigger & validate
reject bad input before it touches anything
Identify & enrich
dedupe, lookup, ground the record
AI reasoning
structured, schema-validated output
Confidence routing
auto-resolve, or hand off with context
Log, notify, report
nothing fails silently
19
Systems built & shipped to production
9+
Platforms integrated end-to-end
100%
Have a global error / dead-letter layer
16
Single-happy-path demos
What I Build

Five case studies below — but every one of them is really one of these four capabilities.

Featured Project

The 5 systems below, running together for one real client — plus a knowledge layer underneath all of it.

The AI Automation Suite is what happens when Support, Sales, Finance, BI, and HR/IT automation stop being separate case studies and start running as one connected system in production.

6
Connected workflows
$190K
Client-reported annual impact
99.5%
Production uptime target
AI Automation Suite — live n8n workflow canvas
▶ Watch the full suite run — live walkthrough
Case Studies

Five systems. Five real business problems.

Each one built end-to-end — architecture, error handling, and the reasoning behind the design decisions — on n8n, Make, or custom code, depending on what the job actually calls for. JSON export available on request.

Approach

"Working" and "production-grade" are different things.

Every system above shares the same underlying discipline — the difference between a workflow that impresses in a demo and one you can hand to a client's real traffic.

Input validation & sanitization
Bad, oversized, or malicious input is rejected before it reaches a database or an LLM call.
Structured, schema-validated AI output
The model can't return malformed data — every field is enforced against a schema, not hoped for.
Confidence-based routing
AI resolves what it's actually confident about, and hands off everything else with full context — not a binary bot-or-human split.
Global error handling & dead-letter logging
One error workflow attached across the system. Every failure is captured and audited, not silently dropped.
Retry logic on external calls
APIs time out. Every external call is built to handle that instead of failing the whole run.
Automated reporting, not manual dashboards
Leadership gets numbers in their inbox on a schedule — nobody has to remember to pull a report.
Reference deployment architecture: n8n orchestration layer connected to PostgreSQL, Redis, OpenAI, Salesforce, Slack and monitoring

Reference deployment shape — the same skeleton underneath every build, adapted to the client's actual stack.

Platforms & Stack

n8n is one tool I build with. The architecture is what I'm actually selling.

Every case study on this site happens to run on n8n because it was the right call for that build — fast to ship, transparent, no vendor lock-in. The same discipline (validation, confidence routing, error handling, audit trails) travels cleanly to whatever platform your team already runs on, or to a fully custom backend when no-code tooling won't cut it.

Orchestration
n8n · Make · Zapier
Visual workflow platforms for fast, maintainable automation — picked per client based on budget, team familiarity, and hosting requirements.
Custom & SaaS
Python · Node.js · APIs
When a workflow tool hits its ceiling — heavy compute, custom auth, a real product to ship — I build the service directly and expose it as an API or a full SaaS backend.
AI Engine
Claude (Anthropic) · OpenAI · Gemini
Structured-output LLM calls, RAG pipelines, and multi-step agents built with LangChain or native agent SDKs — schema-validated, never hoped-for. Model Context Protocol (MCP) for wiring agents into real tools and data sources, not just chat.
Data & Vector Search
PostgreSQL · PGVector · Pinecone · Redis
Relational data where it belongs, vector search where semantic retrieval matters, cache where speed matters.
Infrastructure
AWS · GCP · Docker · Oracle Cloud
Self-hosted or managed, containerized where it helps, sized to what the workload — not a vendor's pricing tier — actually needs.
Integrations
HubSpot · Stripe · Slack · Google Workspace
The tools your team already lives in — wired in, not worked around.
Feedback

What clients say.

A few words from teams I've built with.

"The support assistant closes out most inbound questions on its own now, and the ones that do reach us come with the full context already attached — no more digging through a thread to figure out what happened."

OL
Operations Lead
D2C E-commerce

"We stopped losing leads to slow follow-up. Every lead gets scored and routed within seconds of coming in, and stalled ones get chased automatically instead of falling through the cracks."

FD
Founder
B2B SaaS

"Invoice processing used to eat a full day every week between data entry and chasing approvals. That day is just gone — and I trust the duplicate-detection more than I trusted our old manual check."

FM
Finance Manager
Professional Services
Packages

Fixed-scope, fixed-price, no discovery-call runaround.

Every case study above ships as a tiered package — pick the scope that fits, or use it as a starting point for something custom.

Basic
Single channel, core AI logic
from $400
Standard
Full production build
from $1,000
Premium
Full build + integrations
from $2,400
See all 5 packages in detail →
Contact
Emmanuel Thompson

Tell me what's eating your team's time.

Email, WhatsApp, or LinkedIn — whichever you actually check. I typically reply within a day.

Email emmanuelthompson@anchornovahq.com WhatsApp +234 803 563 1458 LinkedIn Connect →