Use-case discovery workshops
Define the requirements for use-case discovery workshops within ai transformation advisory. Agree the source information, operating owner, review criteria and the connection to the wider delivery scope.
AI & automation
AI Transformation Advisory
Find where AI can make a meaningful difference.
TECHLITHICStrategy into execution
THE OPPORTUNITY
Give intelligence a useful job.
AI creates value when it can use the right business knowledge, work within clear boundaries and hand over confidently. A model alone does not resolve inconsistent information, disconnected tools or unclear ownership.
YOUR FOCUS
Help businesses identify AI use cases, create AI adoption roadmaps, and plan automation strategy.
SCOPE & DELIVERABLES
What ai transformation advisory can include.
A scoped engagement connects the specific work below to your current systems and business priority.
Data and knowledge readiness review
Prepare, organize and review the approved information used by the system. Identify outdated material, missing answers and the person responsible for keeping it current.
Pilot scope and success criteria
Run a bounded trial with agreed users, tasks and measures. Record failures and review effort, then use the findings to decide what should change before expansion.
AI adoption roadmap
Clarify the audience, offer, priorities and dependencies. Turn the direction into an actionable scope with owners, review points and an agreed first release.
BUSINESS CONTEXT
Where this work
fits into the bigger picture.
Sales qualification
Collect the prospect’s intent, identify missing information and pass a useful summary to the right owner.
Support and knowledge
Retrieve answers from maintained business information and escalate questions that need judgment.
Internal operations
Connect repeatable decisions with the systems and people responsible for the next action.
GETTING STARTED
Bring the context.
We’ll shape the next step.
We work with your business and technical teams to identify useful AI applications, evaluate data readiness and define a staged adoption roadmap. The starting point is a real operating problem and a way to measure progress.
- Examples of the requests or tasks you want to improve
- Approved knowledge sources and a content owner
- A list of systems, permissions and sensitive-data boundaries
HOW TO JUDGE PROGRESS
Agree the signals
before the work begins.
01
Answer relevance and review effort
02
Task completion and exception rates
03
Time spent per completed workflow
The exact measures, targets and review cadence are agreed for your engagement.
QUESTIONS BEFORE YOU BEGIN
A clearer brief.
A better engagement.
What will we receive?
Use-case discovery workshops, Data and knowledge readiness review, Pilot scope and success criteria, AI adoption roadmap. We confirm the delivery format, boundaries and acceptance criteria in the agreed project scope.
How is the AI grounded in our business?
We review the knowledge it can use, the tools it can access and the rules for escalation. A representative test set helps identify incomplete answers and unreliable actions before broader use.
What happens when it cannot complete a task?
The workflow should stop, request clarification or hand over with context. We agree those boundaries during design so uncertainty does not become an uncontrolled action.
How are timeline and pricing decided?
We review the requirements, integrations, source materials and decision process before proposing a timeline and commercial scope. Platform subscriptions or third-party costs are discussed separately.
RELATED EXPERTISE
Connect the next part of your system.
01
AI Chatbot Development
Build custom AI chatbots for websites, WhatsApp, Instagram, Messenger, Telegram, and support workflows.
02AI Agent Development
Build AI agents for sales, support, lead qualification, internal knowledge, and customer service.
03AI Knowledgebase Training
Train AI systems using website content, FAQs, product documents, help docs, and business knowledge.
YOUR NEXT CHAPTER STARTS HERE