Writing AI System Specifications training course

Produce a complete, buildable AI system spec from a business requirement, ready for a development team

JBI training course London UK

"Our tailored course provided a well rounded introduction and also covered some intermediate level topics that we needed to know. Clive gave us some best practice ideas and tips to take away. Fast paced but the instructor never lost any of the delegates"

Brian Leek, Data Analyst, May 2022

Public Courses

17/08/26 - 1 days
£2500 +VAT
28/09/26 - 1 days
£2500 +VAT
09/11/26 - 1 days
£2500 +VAT

Customised Courses

* Train a team
* Tailor content
* Flex dates
From £1200 / day
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JBI training course London UK

  • Turn a business problem into a requirement
  • Define what the AI will and will not do
  • Write and document system prompts
  • Specify inputs and outputs clearly
  • Define what good output looks like
  • Document data needs and access
  • Map connections to existing systems
  • Describe fallback behaviour plainly
  • Write a plain-language risk register
  • Produce a brief and a full spec

Requirements translation workshop:

taking a vague business request and turning it into a precise, testable AI system requirement together

Scope definition exercise:

writing explicitly what the system will do and equally what it will not do, to prevent scope creep and misalignment

System prompt writing lab:

drafting prompts, testing them against examples, and documenting the rationale for every significant design decision

Input and output specification:

defining formats, field names, data types, and worked example payloads that a developer can code directly to
 

Acceptance criteria workshop:

writing criteria clear enough that a developer knows what to build and a tester knows what to verify

Data requirements document:

identifying sources, access methods, sensitivity classifications, and how often data needs to be refreshed

Integration mapping:

listing every existing system the AI will connect to, the method of connection, and the data flowing in each direction

Fallback specification:

writing in plain language what the system does when the model fails, returns low confidence, or takes too long

Risk register build:

participants identify and score hallucination risk, potential bias, misuse scenarios, and relevant compliance obligations

Deliverable production:

each participant leaves with a completed one-page brief and a full specification document ready for a development team

 

JBI training course London UK

Business Analysts and Project Managers

 

 


5 star

4.8 out of 5 average

"Our tailored course provided a well rounded introduction and also covered some intermediate level topics that we needed to know. Clive gave us some best practice ideas and tips to take away. Fast paced but the instructor never lost any of the delegates"

Brian Leek, Data Analyst, May 2022



 

 

JBI training course London UK

Certification


Every delegate will be entitled to a certificate of achievement on completion of the course.

If you are missing your certificate - please use the link below to apply - you can also use this link to sign up for the JBI Training newsletter to receive technology tips directly from our instructors - Analytics, AI, ML, DevOps, Web, Backend and Security.
 



This practical course teaches participants how to translate business needs into clear, actionable AI system specifications. Learners will transform vague requirements into precise, testable outcomes that development teams can implement with confidence.


The course covers defining project scope, writing effective system prompts, and specifying AI inputs, outputs, and data requirements. Participants will learn how to create acceptance criteria, map integrations, and document data flows across existing systems.


Hands-on workshops explore fallback processes, risk assessment, and strategies for managing AI limitations and compliance requirements. The course emphasises clear communication between business stakeholders, developers, testers, and project teams.


By the end of the course, participants will produce a complete AI project brief and specification document ready for development and delivery.

This training category includes courses designed to help business analysts, process owners, operations managers, and digital transformation teams improve business processes using AI, automation, business analysis techniques, and workflow design. Topics include AI-enabled process redesign, no-code automation, business process management (BPM), process modelling, and writing AI system specifications.
The best course depends on your role and objectives: New to AI and process improvement? Start with an introductory course on redesigning workflows with AI. Looking to automate business processes without coding? Choose a no-code AI automation course covering tools such as Power Automate, Make, or Zapier. Working with development teams? A course on writing AI system specifications helps translate business requirements into implementation-ready specifications. Focusing on business process improvement? BPM and process modelling courses provide practical techniques for analysing, documenting, and optimising workflows.
These courses are suitable for business analysts, process owners, operations managers, project managers, continuous improvement professionals, digital transformation teams, product owners, and anyone responsible for analysing, improving, or redesigning business processes. They are also valuable for professionals helping organisations adopt AI and automation technologies.
No. Most courses in this category are designed for business professionals rather than software developers. The focus is on analysing business processes, identifying automation opportunities, creating AI requirements, and using low-code or no-code tools where appropriate.
Depending on the course, you'll learn how to analyse and document business processes, identify opportunities for AI and automation, redesign workflows, create business cases, write clear requirements and AI system specifications, evaluate risks, and work effectively with technical teams delivering AI solutions.
Yes. Many organisations use these courses to help business analysts, process owners, and operational teams identify AI opportunities, improve efficiency, and support digital transformation initiatives. Private courses can be tailored to your organisation's processes, systems, and strategic objectives.
Yes. The courses combine instructor-led learning with practical workshops where participants analyse real business processes, redesign workflows, build no-code automations, and produce deliverables that can often be adapted for use within their own organisations.
Rather than focusing only on AI technology, these courses show how AI can be integrated into existing business processes. Participants learn how to identify suitable use cases, balance AI with human decision-making, assess risks, and create practical implementation plans that align with business goals.
Yes. Private training can be customised to reflect your organisation's workflows, governance requirements, technology environment, and industry. This allows teams to work with business scenarios and processes that are directly relevant to their day-to-day responsibilities.
Courses are available as instructor-led classroom training in London, live online training, or private onsite training for organisations. Businesses can choose scheduled public courses or customised programmes designed around their team's experience and learning objectives.

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