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Agents, automations and agentic modes
What each is, when to use which, and what they cost to run.
For software houses and IT teams
Agentic AI for software houses
Training for engineering, QA and delivery teams on working with AI agents and AI coding tools: what to hand over, how to review it, and how to roll it out across client work.
- For
- Delivery
- Length
- Group size
- Fees
Modules
From experiments to team practice
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AI coding tools in the delivery workflow
Assistants and agentic coding tools from ticket to pull request.
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Specs and prompts an agent can execute
Breaking work into tasks with clear acceptance criteria.
04
Reviewing AI-written code
Tests, security checks and quality gates: where QA fits.
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Building simple agents and automations
Connecting models to your tools, data and APIs.
06
Rolling it out across the team
Policies, client data, costs and measuring the impact.
Modules are tailored to your stack and tools after the scoping call.
Who it’s for
Teams that ship software for clients
- Software houses and IT services companies
- Product and platform teams
- Developers, QA engineers, tech leads and project managers
Your team leaves with
A way of working, not a demo
- Agreed rules for when to use agents, and when not to
- A review checklist for AI-written code
- One working automation or agent on your own stack
- Two weeks of follow-up questions answered by the trainer
Your trainers
Who runs the training
Ali Ahmed Awan
Lead Product Manager, Xcellerant Ventures
Teaches Product management · Project management · Business analysis · AI training
Ali has spent 10+ years taking products from idea to paying users across Pakistan, the UAE, Saudi Arabia, West Africa and the US, starting as a business analyst in Lahore. He leads AI products at Xcellerant Ventures, founded Ovela Health and runs AI training for managers and leaders.
Previously at PakWheels, Tribal Health, The ENTERTAINER, Integrated Units
Meet Ali
Ibraheem Faiq
Software Engineer, Vectara
Teaches Agentic AI for software houses · Backend and AI engineering
Ibraheem has 10+ years in software engineering and works on Vectara’s trusted generative AI platform, which grounds AI assistants in an organization’s own data. He was previously a Senior Software Engineer at Motive, a Software Architect at CloudCard and an Engineering Lead at Synavos.
Previously at Motive, CloudCard, Synavos, i2c
Meet IbraheemPlan your training
Train your engineering team
Tell us about your team and stack. We reply with a proposed outline, dates and fee.