Engineering
Engineering & Built Environment
Drawings and specification review, site reporting, asset condition monitoring and technical document intelligence.
Bespoke designed training
AI and ICT training that ends with real projects
We design programmes around the work your professionals already do — then teach them to build AI and productivity solutions that solve it. Industry tracks for twelve sectors, plus the modern productivity stack.
- 60+ engineers trained
- 12+ industry tracks
- Project-based delivery
AI training
Twelve tracks. One method: your work, with AI
Every industry track is a complete pathway — from understanding what AI can and cannot do in your field, to designing a solution, to building, testing and presenting a working prototype your organisation can keep.
Every track ends the same way
A working prototype, a business case, and a team confident to run it without us.
Quantity Survey
Quantity Surveying
Bill extraction and reconciliation, cost benchmarking, variation analysis and automated quantity checks from drawings.
Legal
Legal & Legal Practice
Case research and citation checking, contract clause analysis, matter management and document drafting assistance.
Parliamentary
Parliamentary & Public Affairs
Hansard and record processing, constituent query triage, policy document summarisation and committee briefing support.
Finance
Accountancy, Finance & Banking
Reconciliation and exception reporting, credit memo review, regulatory change tracking and executive financial commentary.
Supply Chain
Procurement & Supply Chain
Tender document analysis, supplier evaluation and scoring, demand forecasting and inventory optimisation.
Healthcare
Healthcare
Clinical record structure, appointment and scheduling intelligence, patient-facing information and reporting — with privacy front of mind.
Education
Education & Academia
Admissions and placement support, learning material generation, research assistance and institutional reporting.
Media
Marketing, Media & Communications
Campaign ideation and copy production, audience insight and sentiment, media monitoring and content repurposing.
HR
Human Resources & Management
CV screening and role matching, policy Q&A, performance review support and workforce analytics.
Agriculture
Agriculture & Environment
Field data capture and analysis, yield and disease advisory support, mapping and environmental monitoring.
Tourism
Tourism & Hospitality
Guest experience personalisation, booking and enquiry automation, review management and service recovery.
Manufacturing, mining, logistics, insurance, NGOs and more — if your sector is not listed, we build the track around your documents and your workflow.
Request a track
Programme structure
Eight modules from first principles to working prototype
A standard backbone, adapted to your sector. Each module is a mix of facilitated teaching, live demonstration and applied work on your own files.
8
Modules
3
Team project
1
Prototype
How modern systems actually work — data, networks, cloud versus on-premise, security posture, and where AI fits. The vocabulary, without the jargon.
What models do and do not do, hallucinations, bias, data privacy, and how to judge whether an AI output is trustworthy enough to act on.
Structured prompting, context design, chaining tasks, evaluation and refinement — practised on real scenarios from your own sector.
Getting institutional data AI-ready: cleaning, structuring, chunking and indexing — the same disciplines behind our 5,000-record Law Reports archive.
Retrieval-augmented search, document question answering, assistants and automated workflows — built live in the session.
Microsoft Teams, Obsidian and Capacities taught as one connected system for knowledge, meetings and follow-through.
Data protection, acceptable-use policy, audit trails, and how to deploy AI inside an institution without exposing sensitive records.
Team builds a working prototype on your real data, we test it together, and you present the business case to your own leadership.
Productivity training
The modern work stack, taught as one system
Most tool training leaves people with tabs open and nothing working. We teach these platforms together, as one connected flow from meeting to note to follow-through.
Microsoft Teams
Meetings that end with decisions
- Meetings, chat and channels structured for real work
- Co-authoring files live in a call
- Teams plus Copilot for drafting, summaries and follow-ups
- File storage, permissions and guest access handled properly
Obsidian
Knowledge that compounds
- Linking notes, back-links and a personal knowledge graph
- Markdown and plain-text files you fully own
- Daily notes, templates and project dashboards
- Connecting Obsidian to an AI assistant for Q&A over your notes
Capacities
Your working memory, organised
- One workspace for tasks, people, notes and documents
- Meeting notes that become assigned action items
- Building a personal CRM and follow-up discipline
- Connecting Teams and Obsidian into one daily workflow
And more — Microsoft 365, Google Workspace, Excel and Power BI, SharePoint and Microsoft Lists, Slack, Notion, Miro and Trello.
Build my stack
How we deliver
Built around your working day
Most teams cannot lose a full day, let alone a full week. We plan around that, and we measure the programme by what your people can do afterwards.
In-house & on-site
We come to your premises, work with your real files, and leave behind your own working setup.
Live online
Facilitated sessions with screen sharing, live builds and shared work — cohorts across regions and time zones.
Blended & modular
Half-day or full-day workshops per module, so you can spread the investment across a quarter instead of a week.
Cohort certification
Participants present a working prototype and receive a certificate of completion with the project on it.
Case study: AI training at the Ghana Institute of Engineers
In 2026, BusinessMind partnered with the Ghana Consulting Engineers Association to deliver Artificial Intelligence training to over sixty engineers at GhIE — a programme that is now extending to other professional associations.
Learning outcomes
What your people can do afterwards
Evaluate AI critically
Spot weak outputs, hallucinations and unsafe uses before they reach your institution's decisions or records.
Build a working solution
Assemble a practical AI assistant or workflow on real institutional data — not a toy demonstration.
Prove the business case
Quantify the hours saved, the risk reduced and the capacity released, and present it to your own leadership.
Work within the rules
Data protection, acceptable use, audit trails and human oversight — designed into the workflow, not bolted on after.
Run a connected stack
Teams, Obsidian and Capacities working together, so knowledge captured in a meeting actually gets used.
Teach the next person
Every cohort leaves able to run internal sessions — so the capability stays inside your organisation.