Artificial intelligence is not replacing consultants. It is changing what a consultant spends time on, how fast an analysis can be produced, and what clients expect in return. For firms that advise insurers, where documents are numerous, regulation is dense and data is everywhere, the shift is already visible.
What AI is changing in consulting
Much of consulting has always involved reading, structuring, comparing and writing. These are precisely the tasks where modern AI tools are most useful. In practice, they now make it possible to:
- Process large volumes of documents. Contracts, policy wordings, claims files, regulatory texts and internal procedures can be read, summarised and compared in hours rather than weeks.
- Speed up diagnostics. A first view of an organisation, a process or a portfolio can be built quickly, then challenged with the people concerned.
- Draft faster. First versions of reports, presentations and meeting notes are produced in minutes, leaving more time to refine the message.
- Prototype early. A use case can be tested on real data before a large project is launched, which reduces risk and clarifies the business case.
- Automate repetitive work. Recurring reporting, data preparation and monitoring tasks no longer consume the team’s time.
How it empowers a consultant today
The real gain is not only speed. It is the shift of the consultant’s time towards the parts of the job that create the most value:
- More time with the client. Less time spent producing documents means more time listening, facilitating and supporting decisions.
- Broader and deeper analysis. Options can be compared and scenarios tested that would previously have been out of reach within a given timeframe or budget.
- Tangible results sooner. Working prototypes and quick tests replace long theoretical discussions.
- Better use of experience. Sector knowledge matters more, not less: it is what allows a consultant to ask the right question, spot a wrong answer and judge what is realistic.
What does not change
AI produces plausible answers, not guaranteed ones. It can be wrong, incomplete or out of date, and it knows nothing about the specific history, politics and constraints of an organisation. The consultant remains responsible for what is delivered. Judgement, accountability, trust and the ability to get a team to act cannot be delegated to a tool.
Using AI well in an insurance context
For insurers, mutual insurers and provident institutions, a few principles help turn the opportunity into a safe and lasting advantage:
- keep a human accountable for every deliverable, and verify sources and figures;
- protect confidential, personal and customer data, and choose tools and settings accordingly;
- respect the regulatory framework, including the rules that now apply to the use of AI;
- start from a concrete business problem rather than from the technology;
- document how AI was used, so that results can be explained and reproduced.
At Parliance, we see AI as a way to give our clients faster, better-informed decisions, while keeping experienced people firmly in charge. Want to explore what AI could change in your organisation? Let’s talk about your context: we reply quickly, with no commitment.