The best partner is not automatically the firm with the longest model list. It is the one that can connect AI to your operation, implement what it recommends, test the difficult cases, and leave your business with clear ownership.
Look for problem-first discovery
A strong firm asks how the work happens today, what the problem costs, which systems and people are involved, what exceptions occur, and what success means. Be cautious when a vendor recommends a chatbot, agent, or platform before understanding the process.
Confirm implementation depth
Some firms produce strategy only. Others configure tools but do not redesign the workflow. Others can build integrations and production systems. None of these models is automatically wrong, but the proposal must clearly state what will be implemented and what your team must supply.
Evaluate security and governance
Ask what information the system will access, how permissions are enforced, what vendors receive, what is logged, what a human reviews, how incidents are handled, and how new uses are approved. “Enterprise-grade” is not an answer without a design.
Demand a measurement plan
The engagement should identify a baseline and a small set of operational outcomes. Avoid vanity metrics such as number of prompts or generated words when the business goal is lower handling time, fewer errors, faster response, or greater capacity.
Inspect ownership and handover
Ask who owns accounts, code, configuration, documentation, data, prompts, vendor relationships, and future changes. Confirm whether the system can be operated without permanent dependence on the consultant.
Questions to use in interviews
- When would you advise us not to use AI?
- What information do you need before recommending a solution?
- What will be working at the end?
- How do you test inaccurate or unsafe outputs?
- How do you design human review and exception handling?
- How will you establish the baseline and measure the result?
- What will our team own?
- What are the assumptions and exclusions?
Warning signs
- A solution is chosen before discovery.
- The proposal describes capabilities but not a business outcome.
- Security is deferred until after the pilot.
- The demo uses ideal examples but no difficult cases.
- No one is responsible for adoption or post-launch operation.
- Value is claimed without a baseline.
Evaluate Losung the same way
Bring us the process, system, or AI decision. We will define what needs to be understood before recommending an engagement.
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