Giving people better AI tools is a useful start. The next question is how those tools change the way your business works.
I think about that in three parts: general capabilities people can use across their jobs, specialized capabilities built around a particular business problem, and the connections that let the two work together.
Help people do their work
General assistants can help with drafting, summarizing, analysis and preparation. The value depends on how well people define the task and check the output. Two teams with access to the same software can use it very differently.
That is why a license rollout needs training, examples and time to practice. Look at the work people are doing with the tools, the quality of the result and the steps that still take time.
Build around the business problem
Some work needs more than a general assistant. It depends on your sources, customer context, review requirements or a workflow that crosses several teams.
A recurring demand question may need a particular set of cultural and market signals. An AI initiative may need a documented intake and approval process. A research workflow may need to run again using the same criteria as information changes.
The value comes from solving that problem well. Calling a product “vertical AI” does not establish an advantage; the team still has to test its usefulness in practice.
Make the connections work
The two parts meet in everyday decisions. People need to know where the information comes from, which result they can rely on and what happens next.
Make those handoffs visible. Decide who checks the evidence, who owns the decision and where the outcome is recorded. A useful result that never reaches the next person is still unfinished work.
What to do this week.
Map your AI work by the business decision it supports. Note which initiatives help individuals, which change a shared process and which need a connection between the two.
Then choose one gap that matters. It might be an unclear brief, a missing source, a review queue or a workflow nobody owns from beginning to end. Agree on a small change and the result that would make it worth continuing.
From the portfolio
Board of Innovation helps teams develop new products, business models and operating capabilities.
FifthRow makes strategic research repeatable through applications and connected workflows.
Nichefire helps teams investigate cultural shifts and emerging demand.
AlignAI supports intake, review and visibility across enterprise AI programs.
Which part of your AI plan is proving hardest to put into practice? Tell me about the work and who owns it, and I’ll help you find the relevant team across HauerX.
What is in your vertical AI column?
