What does The Nnitiwe Hub do?

It builds AI systems for document-heavy and regulated workflows and makes them reliable enough to run in production – covering document intelligence and RAG, AI reliability and evaluation, agents and automation, product development, and data pipelines and integration.

What makes this different from other AI consultants?

The focus is reliability: retrieval that returns the right evidence, evaluation that catches errors before users do, and pipelines that stay accurate and cost-efficient in production – backed by regulated-document AI experience in banking.

Where is Samuel Nnitiwe Theophilus based?

Abuja, Nigeria, working across West Africa and remotely.

nnitiwe.io

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AI engineering & data consulting

AI that holds up in production, for document-heavy and regulated work.

I help teams turn scattered documents and manual workflows into reliable AI systems, with the retrieval, evaluation and guardrails that make the answers trustworthy.

Start a project See the work

7 years Production GenAI pipelines 90% lower AI cost Regulated-document AI in banking

The problem

Your most useful information is buried in PDFs, emails and systems that don't talk to each other. You've tried an AI demo that looked brilliant, then fell apart on real data. You need it to actually work, and you need to trust what it tells you.

Selected results from delivered work

90%

lower AI inference cost, holding model performance

70%

more efficient production pipeline on GCP

7k→250

duplicate documents a day, after quality routing

+74%

retrieval relevance on a prior RAG build

How the work holds up

Every document earns its path. Nothing is trusted until it's checked.

Hover a stage to follow it through. The cheap, verifiable path runs by default; AI is spent only where it's genuinely needed, and every output is evaluated before it's served.

01 / Ingest

Land it safely

Every source lands raw and immutable. Nothing is lost, nothing trusted yet.

02 / Extract

Spend AI wisely

Deterministic extraction first, scored for quality. Only low-confidence documents escalate to AI.

03 / Evaluate

Prove it's right

Outputs checked against known cases with evals and guardrails, not “looks good to me”.

04 / Serve

Serve with lineage

Dashboards, agents and APIs draw from the same governed, traceable result.

What are you trying to fix?

Tell me the situation. We'll find the right first step, together.

Route 1

Help me figure it out

You recognise a business problem but don't know the solution. We assess the workflow, weigh the options (including non-AI ones), and recommend a sensible first step.

Route 2

Help me build or improve something

You already know the technical need. Pick the service, review comparable work, and choose an assessment, build, audit or support engagement.

Our documents are impossible to search or extract

Document intelligence & RAG

Our AI gives inconsistent or untrustworthy answers

AI reliability & evaluation

We spend hours on repetitive, manual steps

AI agents & automation

We have a prototype that needs to go live

AI product development

We need AI to work with the software we already use

Pipelines & integration

We think AI could help but don't know where to start

AI & Workflow Opportunity Review

A starting point, not a diagnosis. We confirm the real problem, and whether AI is even the right tool, before recommending a build.

Not sure where you stand?

Take the free AI ReadinessCheck

A 5–8 minute self-assessment that scores your readiness across six dimensions, then suggests where AI could realistically help – whether you're an individual, a startup, or an organisation.

Check your readiness

Signature work

Proof, not promises.

Banking · under NDA

Regulated document extraction

Trustworthy extraction from inconsistent regulatory PDFs, at a fraction of the AI cost, by routing each document on a measurable quality score.

Data consultancy · under NDA

Document-intelligence pipeline

70% more efficient, 90% cheaper to run, with duplicates cut from ~7,000 to ~250 a day through dedup and quality routing.

Live product

CV Booster

A full AI job-hunt suite in users' hands, with ATS analysis, tailored CVs, cover letters and an Opportunity Radar.

See all work

How working together goes

Four ways in, depending on where you are.

Assess & plan

For clients who need clarity before committing.

→ findings, feasibility, roadmap

Build & integrate

For a defined problem or validated opportunity.

→ a working, tested system

Audit & improve

For an existing system that's unreliable or costly.

→ diagnosis, evals, fixes

Deploy & support

For production deployment and ongoing ownership.

→ deployment, monitoring, runbooks

Products & Labs

I ship and run real software.

Live product

CV Booster

Free ATS analysis, tailored CVs and cover letters, a live editor and an Opportunity Radar. Rated 5.0 on Peerlist.

Try it →

Open source · local-first

PRISM Documents

A free, local-first desktop app for documents, under the PRISM Data Studio brand. Your files never leave your machine.

Download →

Interactive · data-for-good

Live data dashboards

Explorable visual stories – Nigeria's climate emissions, and a football analytics deep-dive – built from real data.

Explore →

Writing

How I think about building this.

Practical essays and tutorials on making AI dependable, from my Substack, Nnitiwe's AI Blog.

Sep 18, 2026

In their words

"Delivers projects on time, and is definitely your guy for any IT-related work."

Ukpong Nwankwo – via Upwork

Praised for analytical thinking and creative problem-solving on applied AI work.

James Gosserand II, MBA – AI Product Owner

"An excellent technical expert who helps businesses grow their online presence."

Kelechi Anyanwu – AWS Solutions Architect

Experience across

Data2Bots Correlation One Omdena CareAid Local2Global Forum

About

Samuel Nnitiwe Theophilus is an AI engineer and consultant who helps businesses turn AI capabilities into reliable, production-ready systems. His work spans LLM applications, RAG and GraphRAG, AI evaluation, MLOps/GenAIOps, data engineering and workflow automation – from system design and integration to deployment, monitoring and optimization.

Read the full story

AI EngineeringLLM ApplicationsRAG / GraphRAGAI AgentsMLOps / GenAIOpsAI EvaluationData EngineeringWorkflow Automation

Start a project

Tell me the problem.

We'll spend 20 minutes on whether AI is the right fix and what the first step would be. No pitch, no obligation. I reply within one business day.

Start a project Check your readiness

AI that holds up in production, for document-heavy and regulated work.

Every document earns its path. Nothing is trusted until it's checked.

Land it safely

Spend AI wisely

Prove it's right

Serve with lineage

Tell me the situation. We'll find the right first step, together.

Help me figure it out

Help me build or improve something

Take the free AI ReadinessCheck

Proof, not promises.

Regulated document extraction

Document-intelligence pipeline

CV Booster

Four ways in, depending on where you are.

Assess & plan

Build & integrate

Audit & improve

Deploy & support

I ship and run real software.

CV Booster

PRISM Documents

Live data dashboards

How I think about building this.

If AI Can Code, What Should a Programmer Know?

Stuck in Tutorial Hell? Why You Need a Career Roadmap, Not More Courses

What Is CV Booster?

Tell me the problem.