Start with the business responsibility, desired outcome and current way of working.
AI for Business Research and Decisions
Research markets, competitors, suppliers and opportunities with sources, comparisons and clear separation of facts from assumptions.
Practical applications
What this training can help your people do.
Delegates work through relevant examples using the organisation’s approved or best-fit AI platform. They learn transferable methods—not dependence on a particular provider.
- ✓Define the decision, research question, scope, criteria, timeframe and acceptable evidence
- ✓Research markets, customers, competitors, suppliers, locations, technologies and opportunities using reliable sources
- ✓Compare evidence, quotations, capabilities, costs, benefits, risks and strategic fit in a structured way
- ✓Separate verified facts from assumptions, estimates, opinions, gaps and unresolved questions
- ✓Analyse supporting spreadsheets and build scenarios, scorecards, charts or decision models where useful
- ✓Prepare source-linked briefings, options, implications, recommendations and questions for management
- ✓Use Universal Prompts, reusable Projects and a repeatable research workflow or basic research assistant
- ✓Verify current high-impact information and retain accountable human judgement and approval of decisions
The Streamline Intel Method
From a useful example to repeatable business capability.
Training combines ordinary-language instruction, Streamline Intel Universal Prompts, guided exercises, reusable Projects, configured AI work environments, basic AI assistants or agents, and repeatable workflow methods. Delegates learn how to provide context, use approved information, define the required output, review the result and improve the method for future use. Configuration and available features depend on the approved platform, programme scope, subscriptions and permissions.
Use clear prompts, relevant files and guided practical exercises.
Check facts, figures, permissions, assumptions and professional quality.
Turn successful work into an adaptable prompt, Project or repeatable workflow.
No coding or previous AI expertise is required. Important outputs remain subject to human review, organisational policy, privacy requirements and professional approval.