Corporate AI Training
AI capability your people own.
Corporate AI training built around real work: short sessions, engineers paired with ours, and support your own team can run after hand-over.
The problem
Why capability stalls
Small ICT teams are short on time.
Centres of Excellence stall when members keep their full day jobs.
Process, governance and training matter as much as the technology.
Programmes
Training that fits around the day job
Executive & board AI briefings
- Audience
- Board, executive committee
- Format
- Half-day briefing or short series
- Outcome
- A shared view of AI strategy, value along the value chain, who owns AI (ICT educates and enables; the business owns the outcome), and the top AI risks and misuse.
Micro-training
- Audience
- Business users, ICT
- Format
- 1–2 hour sessions spread over weeks, plus self-learning tools
- Outcome
- Skills that stick without taking people out of their jobs. No full-day courses.
Two-in-a-box pair working
- Audience
- Your engineers
- Format
- Two to four of your engineers inside each pilot team from week 1
- Outcome
- Knowledge transfer built into delivery, not bolted on at the end.
AI champions (train-the-trainer)
- Audience
- One person per team
- Format
- Champion cohort with ongoing support
- Outcome
- A go-to person in each team for questions and priorities.
Technical tracks
- Audience
- Data, AI and integration engineers
- Format
- Modular tracks
- Outcome
- Data engineering, MLOps and model monitoring, model retraining, API/integration (e.g., MuleSoft), AI security, and industry tracks (refinery and plant AI, banking AI).
Data governance in practice
- Audience
- Data owners, delegates, ICT
- Format
- Working sessions on your runbook
- Outcome
- Your data-governance runbook becomes the normal way of working: data owners and delegates, master data first (80/20 approach).
Getting value from tools you already have
- Audience
- Business users, ICT
- Format
- Hands-on sessions
- Outcome
- Value from Microsoft Copilot, SharePoint agents, RPA upgraded with AI and document sign-off workflows.
Change management & workforce
- Audience
- Leadership, HR, whole workforce
- Format
- Leadership sessions and workforce briefings
- Outcome
- Job-loss fear addressed, leadership change and union consultation handled; a human approves every action; Responsible AI for the whole workforce.
Support-line readiness
Who runs what — during the pilot and after hand-over
| Support line | What it covers | During the pilot | After hand-over | Training provided |
|---|---|---|---|---|
| 1st line | User questions, access, dashboards, daily monitoring, data-refresh checks | GoGenesis, with your ICT shadowing | Your ICT team | Runbooks, monitoring and user support |
| 2nd line | Pipeline failures, data-quality fixes, retraining, thresholds, integration errors | Your ICT and GoGenesis in pairs | Your ICT team, GoGenesis as backup | Data engineering, MLOps, integration APIs |
| 3rd line | Model redesign, new features, platform changes | GoGenesis | Joint, with your team taking more over time | Advanced tracks for your AI engineers |
A joint run period of four weeks before hand-over. Architecture records, pipeline code, model cards and runbooks live in your repositories.
After we leave
Continuous improvement
Retraining pipeline
Models are retrained on fresh data on an agreed schedule.
Champion–challenger
A new model goes live only if it beats the current one.
Monitoring screen
Accuracy, drift and data quality visible to your team every day.
Service desk
A clear route for issues and change requests.
Centre of Excellence
A CoE, done right
- →Only once there are enough use cases to justify it.
- →A small core with dedicated time.
- →Seeded by GoGenesis staff.
- →Never added on top of day jobs.
Capacity options
Extra hands, on your terms
Managed service
We run agreed solutions for one to two years; your ICT sets priorities and standards.
Contracted engineers
Data or AI engineers embedded in your team.
Specialists on demand
SAP, SCADA, MuleSoft or security experts for a defined task.
Local hires
Local staff trained with our teams, embedded with you.
DeliveryOn-site, virtual or blended. GoGenesis AI Academy, with content from our technology partners: CXO workshops, mid-level and executive courses, and Responsible AI and digital-transformation training for the workforce.
Training needs check
Five questions. A recommended programme mix.
01Who needs training first?
02Current AI skills?
03Tools already in use?
04Which support lines do you want to own?
05Timeline?
Next step
Plan a training programme
Tell us who needs to learn what.