Business challenge
The decision or workflow that needs to improve.
Choose a useful first application
AI Discovery and Solution Design
An AI build starts with a question your team needs to answer or a workflow that needs better information. I work with you online to define that task, review the sources and shape a practical first application.
Strategy diagram
Business goals
Data review
Knowledge gaps
Pilot design
Roadmap
Adoption with foundations
Overview
What this creates
A scoped discovery produces a proposed application, a source and access map, data readiness findings and acceptance checks. You can review the delivery scope and cost before deciding to proceed.
Explore the visual walkthroughIdentify one useful task, the information it needs and a realistic scope for a first AI application.
Dasher Consulting framework
Start with the question and the information it needs
Choose a useful first task, define the sources and checks, and review a bounded application before expanding.
Framework 01
The Intelligence Lifecycle
A calm operating model for moving from business pressure to trusted information, reusable knowledge and better decisions.
Inputs
Available context
Documents, systems, people and current constraints.
Success measure
The practical value case before the technology choice.
- 01Trusted data
Clean, permissioned and understood sources.
- 02Knowledge
Policies, lessons and expertise made reusable.
- 03Intelligence
Search, analytics and AI applied with context.
- 04Decision
Clear action supported by evidence.
- 05Learning
Outcomes feed back into the knowledge base.
Business firstEvidence ledReusable by design
Related application patterns
Applications related to AI Discovery
Explore the public descriptions below. Operational sample applications remain in the controlled portal; an application for your business is scoped around your own sources and users.
Business challenges
The pressure points this is designed for
AI ideas need a named user and a practical purpose.
The right information may be scattered across systems or need preparation.
A prototype needs clear checks before it can become an operational tool.
How it works
Designed around information becoming decisions
Each engagement starts with the business context, then builds the foundation, retrieval path and decision interface needed for practical adoption.
Choose the task
Identify the user, current workflow, recurring question and intended benefit.
Review the information
Check available sources, ownership, permissions, quality and integration options.
Scope the first build
Agree sample outputs, acceptance checks, delivery boundaries and a proposed cost.
Agreed deliverables
What the work is designed to produce
A defined first use case and a way to evaluate it.
A source and access map with readiness gaps.
A reviewable proposal for a bounded first build.
Next step
Explore AI Discovery for your organisation
Start with a 20-minute online conversation about the task, your information and the people who need to use it. A scoped discovery can establish the build and acceptance checks.