Service 01 / 04
/build
AI platform development
I build multi-tenant AI SaaS platforms from scratch, where AI is part of the production line: content generation, retrieval, agents, voice and grading. Each client's data is kept apart in the database itself, AI spending has limits, and a person can overrule the AI. I own the work from architecture to cloud deployment.
What I build
Platforms where AI does real work inside a secure system, several of them shared by many client organisations:
- Content that writes itself, within limits. A multi-tenant AI learning platform turns a one-sentence training request into a full course, narrated videos and a matching quiz, in English and Arabic, with AI spending capped by policy.
- Scores people can defend. On an AI psychometric assessment platform, an AI assistant drafts the test from a role description, and established scoring science, never the AI's opinion, decides every result.
- Matching that explains itself. A job-matching platform that explains every match builds profiles from a CV through a short conversation, tailors resumes without inventing facts and runs in a locked-down, offline cloud environment.
- Grading with a person in charge. An adaptive AI readiness assessment adjusts its questions to each answer, grades written responses with AI and sends any uncertain grade to a human reviewer.
- AI inside a regulated practice. An AI assistant for healthcare compliance answers questions inside a platform where every client gets its own protected workspace and data is never mixed.
How an engagement runs
- Audit the requirements. I check the brief against reality in week one and log every decision you make.
- Design the boundaries. What code decides, what the model does, where a person signs off, and where the data lives.
- Build with proof. Tests, automated quality gates and live click-through checks from the first sprint.
- Ship and hand over. Cloud infrastructure written as code, a live deployment, and documentation your team can run with.
Built for trust
Row-level tenant isolation, role-based access, audit logs, personal data removed before it reaches a model, AI cost ceilings, accessibility to WCAG 2.2 AA, and a person who can overrule the AI on the decisions that matter. The platform does not stop at a demo: I take it from local to production in your cloud.
Case studies
- An enterprise corporate-training providerDelivered
AI-Native Corporate Learning Platform
An enterprise learning platform where AI does the heavy lifting: it writes courses, produces narrated training videos and grades written answers, while managers stay in control and costs stay within limits.
Learning and corporate training · NDA
- A public employment programDelivered
Explainable AI Talent-Matching Platform for the Public Sector
An AI layer for a public employment program: it builds job-seeker profiles from CVs, tailors resumes without inventing anything, and matches people to jobs with scores anyone can understand and audit.
Public sector employment · NDA
- A large enterprise groupDelivered
Adaptive AI-Readiness Assessment Platform
An adaptive assessment that measures employees' AI skills, grades written answers with AI under strict safeguards, and gives everyone a personal learning path, while people review anything uncertain.
Enterprise workforce and HR · NDA
- An enterprise HR-technology companyDelivered
AI Talent Assessment Platform
A hiring assessment platform where recruiters create tests by describing the role, candidates take them securely, and every score comes from proven, auditable scoring methods rather than AI opinion.
HR technology · NDA
- A UK-based cybersecurity and compliance advisory firmDeployed
From Spreadsheets to a Healthcare Compliance Platform with AI
A spreadsheet-driven consulting practice turned into a secure, multi-client platform: separate workspaces for every client, one-click remediation plans, ongoing monitoring and an AI assistant that never mixes clients' data.
Healthcare cybersecurity and compliance · NDA
Guides
Deep dive
AI Won't Replace Engineers Who Think: What a 29-Second Wait Taught MeWill AI replace software engineers? My answer from a real enterprise project: AI sped up the work, but human judgment cut a 29-second wait to half a second.