AI Automation & Engineering
AI Workflow Auditing & Integration
Your business is leaking money through manual processes your team has normalised. Spreadsheets built on spreadsheets. Reports that take three days. Client onboarding that takes four days instead of four minutes. We spend 48 hours mapping the exact dollar cost of every bottleneck, then we build the automated engine that eliminates them.
This is not a consulting exercise. We embed directly into your operational stack, build production-grade automation pipelines (Python APIs, Make, Zapier, custom integrations), train your team on the system, and provide 30 days of post-launch optimisation.
- 48-Hour Workflow Diagnostic Report with naira-quantified ROI
- AI Integration Architecture Blueprint and technical specification
- Custom automation pipelines built into your existing stack
- End-to-end team training on every system deployed
- 30-day post-launch technical support and optimisation
- Written performance guarantee, documented savings or we engineer for free
Enterprise Predictive Intelligence (ML)
Custom ML Models & Architectural Oversight
Every naira you pay to a foreign AI API is a naira you are not investing in proprietary tech equity. When that API changes pricing, goes down, or exposes your data, you have no recourse. We build the models you own: trained on your data, deployed in your environment, monitored for drift, and handed over with full documentation.
We also serve as Fractional CTO for engineering teams that are brilliant at web development but underequipped for production ML, preventing the expensive technical debt that kills margins before models ever go live. Core use cases: credit risk and churn forecasting, demand and inventory prediction, and customer lifetime value modelling, each shipped with explainable AI (XAI) reporting so risk teams and auditors can see why the model made the call it made.
- Custom ML model design, training, evaluation, and validation
- Production deployment via FastAPI, Docker, cloud of your choice
- MLflow-based drift monitoring and automated retraining pipeline
- Full data engineering pipeline (ingest → clean → format → train)
- NDPR & GDPR-aligned data sovereignty compliance documentation
- Fractional CTO architectural oversight and code governance retainer
Corporate AI Literacy & Engineering Capability Trainings
Featuring EverydayAI Tribe Pro
AI literacy is no longer optional, it's the new operational baseline. The EverydayAI Tribe is a structured learning community with three tiers (Basic, Business, Executive) built around applied AI, not theory. You won't find academic jargon here. You will find practical weekly modules, live tool demos, and a peer community doing the work alongside you.
For organisations, we deliver custom corporate cohorts, scoped to your specific tools, your compliance requirements, and your team's existing capability level.
- EverydayAI Tribe Basic — ₦15,000/month · Foundational AI literacy
- EverydayAI Tribe Business — ₦50,000/month · Workflow automation focus
- EverydayAI Tribe Executive — ₦250,000/month · AI strategy & governance
- Corporate cohort training — Custom scoped, in-person or virtual delivery
- Monthly Skill Accelerator modules + live masterclass webinars
- "Member-Get-Member" referral programme for active community members
Digital Transformation
Strategy & Executive Retreats
Most boards are making multi-million naira technology investment decisions without a shared AI vocabulary, a credible implementation framework, or a single person who can speak fluently to both the technical and governance dimensions simultaneously. That creates expensive mistakes and missed competitive windows.
We fix that with a Boardroom Alignment Briefing or full Executive Retreat that delivers a board-ready 12-Month Transformation Roadmap your entire leadership team can commit to, budget for, and execute against.
- Private Boardroom Alignment Briefing (30-min on-site executive session)
- 48-Hour Off-Site Executive Strategy Retreat (full facilitation)
- 12-Month Corporate Transformation Roadmap — board-ready document
- Technology investment prioritisation and AI capital allocation framework
- NDPR & compliance-aligned governance policy development
- Quarterly Fractional CAIO advisory retainer (optional follow-on)
AI Solutions Development Programme
Ages 13–18
Most teen coding programmes teach syntax and stop there. Ours teaches engineering. Teens build real ML projects forecasting systems, prediction APIs, segmentation tools — deployed to GitHub with professional documentation, ready to present to any international admissions panel or future employer.
We run two tracks: the Foundational Pipeline (ages 13–15, focused on Python fundamentals and computational thinking) and the Ivy Portfolio Track (ages 16–18, focused on ML model building and GitHub portfolio development for university admissions).
- Structured curriculum: Python → ML fundamentals → Model Deployment
- 3–5 real GitHub portfolio projects built during the programme
- Professional technical documentation and README engineering
- FastAPI-powered model deployment for advanced cohort participants
- University application and portfolio presentation coaching (Ivy track)
- Private Teen AI Demo Day — parents and professional networks invited
Every Engagement Starts
with a Conversation.
Book a free 30-minute discovery call. We will identify which service line fits your situation, what a realistic engagement looks like, and what it would cost, before you commit to anything.