Your members aren’t questioning your authority. They’re working around it.

Not out of disrespect — out of necessity. When a deadline hits and the right standard isn’t quickly navigable, members improvise. They ask a colleague. They run a generic AI query and get something plausible. They move forward with “close enough” or, as we say in Australia, “she’ll be right mate!” In that moment, your organization’s decades of carefully governed knowledge didn’t fail to exist. It failed to reach them.

That’s the distinction most scientific and engineering societies haven’t fully reckoned with yet. Authority and accessibility are not the same thing. And in an AI-native world, closing the gap between them is becoming a strategic imperative.

The assumption worth challenging

The instinct to protect verified knowledge is correct. Precise language, careful governance, deliberate review processes — these are not bureaucratic overhead. They’re what makes your standards worth trusting. But there’s a quieter assumption embedded in that instinct: that credibility is established through the publication process, through peer review, careful governance, and trusted standards development processes, and once earned, it endures on its own. That authority lives in the standard itself, not in the path a member takes to reach it.

That assumption made sense when your members had one primary place to go for answers. It doesn’t work when generic AI tools like ChatGPT or Claude are one tab away, ready to produce a confident-sounding response to any technical question, whether or not it’s grounded in your standards, your citations, or your field’s actual consensus. If your knowledge isn’t in the conversation when a member needs it, something else will be.

The risk to your authority isn’t that members access your standards too easily. It’s that they stop accessing them at all.

Access and interpretation aren’t the same thing

When leaders push back on making knowledge more accessible, the concern usually centers on two things: loss of control over intellectual property rights; and, interpretation risk. If generative AI makes your standards “conversational,” does it paraphrase them? Dilute them? Create liability? Is this any more risky than different team members doing exactly the same thing?

These are legitimate questions. But they conflate two different things.

There’s a meaningful difference between helping a member navigate to the right standard and having generative AI interpret or rewrite what that standard means. One serves your authority. The other threatens it. The design question isn’t whether to make knowledge accessible — it’s whether accessibility is built to protect the intellectual authority or bypass it.

Three principles make it possible to provide accessibility, while protecting authority: (1) responses grounded only in an organization’s approved content; (2) navigation that helps members find and reference your standards without creating new meaning; and (3) governance by design — full traceability and alignment with the oversight processes you already have in place. Accessibility built on these principles doesn’t weaken authority. It extends it.

What this looks like in practice

The International Society of Automation faced a version of this challenge that will feel familiar to many CESSE members. ISA holds one of the most extensive technical standards libraries in the automation industry — deeply authoritative, carefully maintained, and hard for members to navigate quickly. They partnered with Betty to build Mimo, an AI assistant trained on ISA’s standards, technical papers, and publications.

In the first thirty days, Mimo handled more than 3,800 inquiries — in eight languages. In year one, more than 10,000 conversations. Every response cited back to specific ISA content members could verify themselves. The standards didn’t change. Nothing was reinterpreted. What changed was reach: members who had been working around the knowledge were now working with it. Mimo also grew membership in its first four months — because non-members found ISA’s knowledge before they were members and decided to join.

The questions worth sitting with

First: How much of your staff’s time goes to answering “where do I find this?” And what does that cost your organization each year in capacity, consistency, and member experience?

Second: When a member stops asking, is it because they found what they needed, or because they stopped expecting it from you?

Accessibility isn’t a technology decision. It’s a governance decision about how far your authority reaches. The organizations that will be seen as most authoritative won’t be the ones with just rigorous standards. They’ll be the ones with rigorous standards that are reliably useful at the moment members need them.

Authority and accessibility aren’t in opposition. One is how you earn trust. The other is how you deliver it.

For more information:

Book a conversation: https://meetbetty.ai/demo

ISA Case Study: https://meetbetty.ai/case-studies/isa