If your core problem is repeated steps and disconnected systems, begin with automation. If it involves understanding language, documents, or complex patterns, AI may be necessary. If the AI output must trigger business work, you probably need both disciplines.
| AI consultant | Automation consultant | |
|---|---|---|
| Typical input | Language, documents, images, patterns, knowledge | Events, fields, statuses, rules, schedules |
| Typical output | Classification, extraction, draft, answer, prediction | Created record, routed task, notification, synchronized data |
| Main uncertainty | Output quality and variability | Process rules, exceptions, system reliability |
| Primary controls | Evaluation, grounding, permissions, review | Validation, retries, monitoring, exception queues |
When you need an automation consultant
Choose automation first when employees re-enter data, chase approvals, assemble recurring reports, move information between systems, or follow a stable sequence of steps. The work may not need AI at all.
When you need an AI consultant
Choose AI expertise when the process must interpret unstructured documents, answer questions from a knowledge base, classify variable messages, summarize complex material, or prepare context-sensitive drafts.
When you need both
Consider customer intake: AI may interpret an email and extract the request, while automation validates required fields, creates the CRM record, assigns an owner, schedules follow-up, and alerts a person when confidence is low. The value comes from the full workflow.
What to ask either consultant
- How will you map the current process?
- Why does this problem require your proposed technology?
- How are exceptions and failures handled?
- What does a person review?
- How will the result be measured?
- Who owns the system after launch?
Losung works across both sides
We combine AI consulting, workflow automation, and systems integration around one defined business problem.
Tell us what is stuck