Ebuka Nwibor — AI-Powered SaaS & Enterprise Solutions
Ebuka Nwibor.AI Founder & Builder
Building AI-powered SaaS & enterprise solutions

I use AI to build SaaS that ships.

I provide the system logic and architecture; AI is my engineering team for the build. That's how I ship AI-powered SaaS and enterprise software — from concept to production at startup speed, owning every design and security decision. As a founder I built Sentinel, a multi-tenant security SaaS now live with invite-only users; and as an independent developer I shipped a suite of three live business systems for an enterprise care provider. Backed by senior enterprise-delivery experience at PwC, Elabor8, UNICEF, and the World Bank, I understand how enterprises buy, adopt, and run software — and I direct AI to build it.

01

How I work

The division of labour is deliberate: I provide the system logic, architecture, and security model; AI is my on-demand engineering team that writes the implementation. Sentinel is a good example of how I approach problems — I built the care app for Ashlotrimcare, needed to security-test it, and that first pass grew into a full security platform I built to meet the need. Spot a real gap, then build the thing that closes it. Requirement to production, I own the whole path.

I architect the system

The product thinking, data model, security boundaries, and edge cases are mine. I decide what the system must do and why, and specify it precisely — before anything gets built. The design is mine.

AI is my on-demand engineering team

I direct AI models to write the implementation against my specifications, then review, test, and integrate the output. AI compresses the build — it never owns the design.

Enterprise-grade delivery

Years running delivery, UAT, and adoption for enterprise and public-sector clients. I build software that meets the standards real organisations demand.

Ship to real stakes

My AI-built systems run live in a CQC-regulated enterprise care operation. Building for real users under regulation forces discipline that demos never do.

02

AI-built software

Software I designed and shipped using AI as my on-demand engineering team — marked honestly by stage. A suite of live systems delivered for an enterprise client, and two independent founder ventures: an early-stage care SaaS, and Sentinel, a security platform live in production with invite-only users.

Deployed · early testing Founder · Independent venture

Care SaaS Product

A multi-tenant care-records SaaS for the care sector

An independent, multi-tenant SaaS I'm building for the care sector as founder — a ground-up rebuild of the care record as a product other providers can subscribe to, rather than a single-tenant tool. It's deployed on managed cloud hosting and in early testing, built by directing AI against my own architecture and everything I learned shipping live systems for a real care provider.

  • Founder-owned — product vision, system architecture, and roadmap are mine, built independently of any client engagement.
  • True multi-tenancy — each provider's data is isolated at the database by row-level security, with the isolation proven by an automated tenant-isolation test suite that runs on every build.
  • Full SaaS machinery — self-serve organisation sign-up, role- and permission-based access, subscription billing, and an operator control plane with audited, logged support access.
  • NHS-interoperable — NHS number verification (PDS) and GP-record retrieval (GP Connect) built in, sandbox-ready ahead of formal NHS onboarding.
  • AI-built, continuously shipped — a React / TypeScript front end on a Supabase backend with serverless functions, deployed to the cloud on every change; directing AI models against precise specs to move at startup speed.
Founder Multi-tenant SaaS React · TypeScript Supabase · row-level security Stripe billing NHS interop · PDS & GP Connect

Early-stage product, deployed and in testing. Independent of the Ashlotrimcare client work below.

Live & in use Client engagement · Architect & builder

Enterprise Care Systems — Suite of 3 Live Apps

AI-built business systems for Ashlotrimcare Ltd, a CQC-approved care provider

Engaged independently to modernise how Ashlotrimcare runs, I used AI as my on-demand engineering team to design and ship three live business systems — replacing paper, spreadsheets, and manual processes across care delivery, hiring, and staff operations.

  • Care records app (single-file JavaScript PWA) — a full digital care record: medications with MAR charts and round-based administration, care plans, risk assessments, daily notes and NEWS2 observations, body maps, safeguarding and incident logging, staff rota and clock-in — installable and offline-capable, with automatic office escalation the moment a medication dose is missed.
  • Recruitment portal — streamlines candidate intake and hiring workflows for the provider.
  • Rota & payroll system — automates staff scheduling and pay, removing manual, error-prone processes.
  • Enterprise-grade foundations — authentication and row-level security designed around UK GDPR and care-sector data-protection principles across all three.
AI-assisted build JavaScript Supabase / PostgreSQL Auth & row-level security CI/CD See the client →

Delivered as independent client/contract work. Compliance framing: designed around UK GDPR and CQC principles; not independently certified/audited.

Live · invite-only (pre-launch) Founder-engineer · Independent venture

Sentinel

Authorization-first security & launch-readiness platform for SMB and BaaS apps

A security platform I architected and shipped as sole founder — I defined the system logic and security model, and directed AI as my on-demand engineering team to build it. Sentinel finds the access-control and backend-misconfiguration flaws that quietly leak data in modern "backend-as-a-service" apps — the failures a generic scanner misses — and gives founders a clear go/no-go verdict before they ship. It runs in production as a full multi-tenant SaaS.

  • Deep BaaS authorization testing — dedicated engines for Supabase (row-level-security bypass), Firebase, GraphQL, and Appwrite that probe the real ways these backends leak other users' data, not just generic web checks.
  • A full assessment suite — external scanning with live CVE data, BaaS-aware code (SAST) analysis for CI/CD, load and integration testing, and one combined go/no-go "Go-Live" verdict that folds them together.
  • Authorization-first by design — proof-of-ownership gating, encrypted secrets, a full audit trail, and destructive checks off by default, so it fits a professional (CREST-style) engagement rather than "point a scanner and go."
  • Engineered as a real SaaS — database-per-tenant isolation, subscription billing, a background job queue, TOTP multi-factor auth, automated backups, and an admin control plane — built with zero external runtime dependencies and backed by 150+ automated tests.
  • Shipped end-to-end, solo — product, security engineering, full-stack build, and live deployment (Docker + automatic HTTPS) all owned independently.
Founder AI-assisted build Node.js · zero-dependency Multi-tenant SaaS BaaS authorization · DAST · SAST OAST · MFA · CVSS See it live →

Live in production and feature-complete; currently invite-only ahead of commercial launch. Built as a force multiplier for security testers, not a replacement — and not independently audited/certified.

03

What I bring

Grouped by what I actually do, not a keyword dump. I can speak to every item here.

Building SaaS with AI

Taking a product from concept to production using AI models as an engineering team — directing them against precise specs, reviewing and integrating output, and shipping working SaaS at startup speed without losing ownership of quality.

Architecture & product

Translating enterprise requirements into system design, data models, and user flows. Scoping what to build, mapping edge cases, and defining the rules a system must follow before building begins.

Backend & data

Relational database design (PostgreSQL / Supabase), user authentication, row-level security, and automated database logic. Structuring data so it stays consistent and secure as a product grows.

Deployment & delivery

Cloud hosting, automated deployment pipelines (GitHub-based CI/CD, Netlify), and shipping mobile-first web apps that reach users reliably and update quickly.

Domain: regulated care

Hands-on experience building for a CQC-regulated care provider — data protection principles, auditability, and the reliability standards that come with handling sensitive personal information.

Enterprise delivery

UAT strategy and execution, proof-of-concept delivery, and stakeholder adoption across enterprise, public-sector, and international-development clients (PwC, Elabor8, UNICEF, World Bank).

04

Career

Senior delivery and transformation roles across consulting, enterprise, and international development — the track record behind the building.

May 2023 – Mar 2024

Senior Consultant — Digital Transformation & Delivery

Elabor8

Delivered UAT strategy and execution and worked with the customer engagement & adoption team on a proof-of-concept for UnitingCare Queensland. Facilitated Inspect & Adapt sessions for senior management at Bupa.

Jul 2022 – May 2023

Digital Transformation Lead

Ownersearch

Led transformation initiatives, translating business goals into delivery roadmaps and improved ways of working, and owned stakeholder alignment and change adoption.

May 2020 – Jun 2022

Credit Analyst — Mortgage Unit, Westpac

Financial services

Assessed mortgage credit risk and made lending decisions within regulatory and policy frameworks — deep grounding in financial services and compliance-driven decisions.

Consulting

Consultant — PwC

Engagements for UNICEF & the World Bank

Delivered consulting engagements supporting international-development and public-sector programmes, working with senior stakeholders in complex, multi-partner environments.

Master of Public Health — Adelaide University

05

Where I fit

Roles building AI-powered SaaS and enterprise solutions — where using AI to ship real software, and understanding how enterprises adopt it, matter more than hand-writing every line of code.

AI Product Manager / TPM Building AI-powered SaaS products
AI Solutions Lead / Consultant Using AI to deliver enterprise solutions
Founding Product / Founder-in-Residence Build SaaS from zero with AI
Enterprise AI Delivery Bring AI-built software into large organisations

Let's build AI-powered software together.

If you're building AI-powered SaaS or bringing AI into enterprise solutions — and you want someone who can architect it, ship it, and stay honest about how it's built — I'd like to hear from you.