Solutions
Building the people who will build, run and govern intelligent systems.
01Overview
Most organizations do not lack tools. They lack people who understand what the tools can and cannot do. A board that cannot judge an AI proposal will either approve too much or refuse too much. An engineering team without practice in data and agent design will rebuild old systems with new names. A public that does not understand AI is easy to mislead. Education is the cheapest way to reduce all three risks.
We teach at four levels. Executive programmes help leaders decide, govern and invest. Engineering academies train developers and analysts in data, ontology and agent engineering through projects. Public sector and professional programmes help regulators, civil servants and specialists apply AI in their field. Community and school programmes, delivered through the Boltcliq Foundation, build access and literacy for people who might otherwise be left out.
All programmes are practical. Participants work on realistic cases from African sectors, using tools they can keep using. Where possible, learning is attached to a live engagement, so that people learn on the system they will run. Our instructors include forward deployed engineers who build these systems for a living.
02
A good course is short on slides and long on practice. Participants bring data from their own organization, or a realistic sample, and work through a problem from question to result. They make mistakes in a safe environment and learn to spot them.
We design courses for the conditions people face. That means material that works on modest laptops and phones, offline options for patchy connectivity and examples set in banks, farms, clinics, ports and ministries rather than in a foreign textbook.
03What you get
Short, focused programmes for boards and senior teams. We cover what AI can and cannot do, how to choose and sequence investments, how to govern risk and how to measure return. Sessions use cases from your own sector and end with a decision, such as a prioritised roadmap or a governance policy.
Leaders set the limits that make AI safe and useful.
Cohort-based training for developers, analysts and data engineers. Topics include data engineering, ontology modelling, evaluation, agent design and operations. Participants build a working system as a capstone, reviewed by engineers who have shipped similar systems.
Capability stays when your people have it.
Programmes for civil servants, regulators and policy teams on procurement, risk, data protection and oversight of AI systems. We help teams ask better questions of vendors, build review processes and understand where to seek legal advice. We do not give legal advice.
Good oversight depends on understanding.
Practical training for analysts, relationship managers, clinicians, agronomists and other professionals who will work with AI tools. Courses focus on checking outputs, framing questions and recognising failure. They are short and tied to daily tasks.
Frontline skill decides whether tools are used well.
The Boltcliq Foundation supports digital and AI literacy for students, teachers and community learners. Programmes provide devices, offline-friendly content and local facilitators. Activities and partners are published by the Foundation as they are confirmed.
Access should not depend on where someone lives.
We help universities, training providers and companies build their own programmes. We share curriculum, labs and assessment, and train instructors to deliver them. The aim is a local teaching capacity that continues without us.
Local teachers reach far more people than we can.
Free 30 minutes with an engineer.
04African sectors
Situation
A bank board is asked to approve an AI programme but has little basis for judging the proposals or the risks.
What it does
An executive programme covers use cases, risk, governance and vendor questions, and ends with a prioritised roadmap and a draft policy.
Human decides
The board decides on investment and risk appetite.
05Boltcliq platform
Boltcliq product
Gives learners a real ontology to model and query, so concepts are taught on a working system.
Students practise on the real thing.
Boltcliq product
Provides a safe place to practise agent governance, permissions and approval.
Responsible practice becomes a habit.
Boltcliq product
Lets learners trace decisions and costs, so they learn evaluation and accountability.
Participants see how systems are judged.
06
Does
Does not
07FAQ
Experience you can lean on
Immersed in technology and across many different verticals, so the people on your project have done this before.
General AI Education
Tell us the problem. An engineer, not a salesperson, answers.
Building the people who will build, run and govern intelligent systems.
