The AI noise is deafening. Everyone’s got a new model, a new tool, a new angle. And somehow they all promise instant transformation. It’s bullshit.
At Hylaine, we didn’t chase hype. We turned the spotlight inward. If we’re going to help clients get AI right, we better get it right ourselves first. Not theoretically. Operationally.
So we started with our own people. Our own work. Real use cases with real complexity. Estimating projects. Writing case studies. Drafting proposals. The things that eat time and drain senior bandwidth.
Where It’s Working
We built AI agents to do one thing: reduce time spent on tasks that don’t require deep consulting judgment. The kind of work that’s important but repetitive. Like:
1. Project Estimation Support
Senior consultants don’t always have time to do the final scrub on every estimate. So we trained AI agents to pull past projects, surface pattern similarities, and flag areas where our assumptions looked overly optimistic. It’s not decision-making. It’s decision support. The kind that cuts four hours off an eight-hour task.
2. Case Study Drafting
We’ve delivered across insurance, healthcare, and financial services. But documenting the story? Painful. AI now helps draft the first version. It pulls technical highlights, key metrics, and solution patterns. Our team then sharpens the narrative. It saves hours and gets us 80% there, fast.
3. Proposal Generation
Proposals are high stakes. They need clarity, specificity, and client context. We use AI to build first drafts based on service line assets, RFP requirements, and similar wins. Then the humans do what AI can’t: shape the message, stress-test the strategy, and build the case.
Where It Stops
We don’t let AI touch architecture decisions, production code, or final reports. There’s too much risk. We’ve seen the damage elsewhere: hallucinated facts in client decks. Fabricated stats. Entire paragraphs that sound confident and are completely wrong.
We’re not going there. We’ve seen what happens when other firms cut those corners. Trust is hard to win and easy to burn.
How We Keep It Safe
Policy beats performance. Every time. We’ve set three rules:
- Disclose when AI contributes.
- Follow client-specific AI guidelines.
- Consultants own what they sign. No exceptions.
There’s no gray area here. Our people know the difference between helpful and dangerous. We trained them to know it. Prompting, validation, escalation protocols — they’re all documented. And they’re enforced.
What’s Next
We’re testing AI for code reviews, test pattern recognition, and requirements QA. But we’ll only greenlight what passes our standards.
The payoff so far? More time on actual consulting. Less time rewriting boilerplate. Higher quality first drafts. Less mental fatigue.
That’s not transformation. That’s getting better at the work that matters.
