You can assess generative AI against a clearly scoped business task. Identify suitable tasks, establish data access and structure a pilot with business evaluation cases.
Identify suitable tasks, establish data access and structure a pilot with business evaluation cases.
The central objective is: You can assess generative AI against a clearly scoped business task.
An AI demo looks convincing, but its quality on difficult inputs and its limitations are unknown.
Identify suitable tasks, establish data access and structure a pilot with business evaluation cases.
Prepare acceptance and handover: Prioritised pilot scope with evaluation criteria, human approvals and a decision brief.
Review failure cases and human oversight.
Does this fit your situation?Five short answers turn an initial idea into a first brief.
Check the fit ↗An illustrative workflow for a Generative AI consultant. Select a step to see what may be prepared and handed over.
Illustrative scenarios for orientation. Scope and outcomes are agreed for each assignment.
Examples, not a blanket delivery promise. Choose the outputs your project actually needs.
For a Generative AI consultant, a traceable working approach matters. With VB Analyst, your task becomes a search brief with verifiable essential criteria.
Explain a representative evaluation set including difficult counterexamples and assess failures separately from averages.
Anonymised examples suffice for an initial assessment. References, qualifications and availability are clarified for the assignment; a tool list alone does not establish suitability.
An experienced specialist fits a well-defined package. Senior or lead experience matters more when the approach, interfaces or acceptance remain unclear. A junior profile needs a named specialist reviewer.
Applied to: Identify suitable tasks, establish data access and structure a pilot with business evaluation cases.
Remote work is usually practical with approved access, data and contacts. On-site sessions can support kick-off or handover.
An AI demo looks convincing, but its quality on difficult inputs and its limitations are unknown.
For reference and preparation of your search brief.
Identify suitable tasks, establish data access and structure a pilot with business evaluation cases.
Prioritised pilot scope with evaluation criteria, human approvals and a decision brief.
Computer science, business informatics, mathematics or statistics; technical data work may also draw on vocational IT training with relevant data experience.
These are possible professional routes, not a universal degree requirement. For this role we review experience with a comparable task, technical depth and the ability to document a handover. Required degrees and evidence are defined in the specific search brief.
Possible working environment; the actual combination depends on the assignment.
Connect your task to relevant capabilities. A tool selection narrows the working environment; the results explain each professional connection.
The professional connection becomes clear through tasks and possible outputs.
Explore data and develop suitable statistical models for a specific question.
Analysis with a baseline, validation and clear interpretation of limitations.
Turn a validated model into a maintainable technical workflow.
Versioned model deployment with monitoring, tests and a documented fallback.
Connect model versions, data dependencies, deployment and monitoring in a reproducible workflow.
Versioned model pipeline with checks, operational metrics and documented rollback.
Capability profiles for orientation. An individual’s suitability is assessed against the search brief.
Refine the selection ↗This may not be the right role if your main priority lies elsewhere. These profiles help clarify the difference.
This overview describes typical areas of responsibility. Actual scope may vary between organisations.
| Criterion | Generative AI consultant | Data scientist | Sales analyst | Sales forecasting specialist |
|---|---|---|---|---|
| Core task | Identify suitable tasks, establish data access and structure a pilot with business evaluation cases. | Explore data and develop suitable statistical models for a specific question. | Analyse sales results across pipeline, products and accounts. | Translate sales records into a reviewable forecast with documented assumptions. |
| Possible outcome | Prioritised pilot scope with evaluation criteria, human approvals and a decision brief. | Analysis with a baseline, validation and clear interpretation of limitations. | Sales report with consistent stage definitions and explained variances. | Forecast with a baseline, ranges and regular actual-versus-forecast review. |
| Working environment | SQL, Microsoft Excel | Python, PyTorch, SQL | SQL, Microsoft Excel | SQL, Microsoft Excel |
Unsure which role fits?Start with your goal and your team’s tasks.
Start the role finder ↗Complementary roles address adjacent tasks. They are not automatic substitutes for a Generative AI consultant.
Assess AI risks and assumptions. Track controls and residual risks.
An AI risk register with assigned controls.
Align definitions for core data objects. Coordinate maintenance workflows and change approvals.
An agreed master-data standard with named data owners.
A managed service requires defined inputs, scope and approval paths. These services provide a starting point for that definition.
A scoped modelling or analysis brief with review criteria and documented limitations.
Choose work packages ↗A testable workflow with defined inputs, human approvals and exception handling.
Choose work packages ↗For agencies and service providers: White-label delivery can align formats, approvals and communication under your brand. Client access and responsibilities are agreed in advance.
Five questions, a reasoned assessment and a brief for your enquiry. You can change every answer.
A capacity gap does not always require a permanent role. Choose a model by responsibility, duration and desired outcome.
Which errors are unacceptable, which data may be used and who evaluates responses?
Prioritised pilot scope with evaluation criteria, human approvals and a decision brief.
You can leave undecided details open. Non-confidential information is enough for initial contact.
Selected model: Project support
Discuss these requirements ↗View this model and its responsibilities ↗We clarify the task, priority and outstanding requirements with you.
Relevant experience is assessed against the assignment. Open questions and working parameters remain visible.
You decide through specialist discussions. Capacity, terms and responsibilities are agreed.
Access, the first milestone, contacts and handover are established.
Timing depends on suitable availability, selection, agreement and access. For urgent needs, separate essential initial work from later tasks. A binding start date is confirmed for the specific assignment.
Short answers for your next step. We can work through your specific situation together.
Discuss my question ↗Identify suitable tasks, establish data access and structure a pilot with business evaluation cases. One possible outcome: Prioritised pilot scope with evaluation criteria, human approvals and a decision brief.
Explain a representative evaluation set including difficult counterexamples and assess failures separately from averages.
Possible working environments include SQL, Microsoft Excel. The required combination depends on your assignment. Not every listed tool is a mandatory requirement.
The profiles describe capabilities and typical assignments. Actual people, availability, terms and engagement are assessed for your specific need.
