Choose a useful place to start
Look at the task, the information involved, and the consequences of a mistake. Decide whether to automate it, use AI to assist a person, or keep it with people.
You’re hearing plenty about what AI can do. Working out what’s useful for your organization takes time you may not have.
So we look at what your team actually does in a week before we talk about tools. Some of that AI can carry. Some of it belongs with your people, and we’ll help you decide which is which.
Then we set it up, train the people who actually have to use it, and stay reachable afterward. That’s what a Managed AI Provider is: when something breaks or the work changes, you call us.
An overflowing inbox. A report that takes the same afternoon every month. Staff trying different AI tools without shared guidance. We start there, with the people who know the work.
Look at the task, the information involved, and the consequences of a mistake. Decide whether to automate it, use AI to assist a person, or keep it with people.
Agree on a manageable first use, connect the tools it needs, and try it against real examples. Give staff room to ask questions and check the results.
Work with your team on clear rules: which tools are approved, what information can go into them, what needs a human check, and who handles a mistake. Put the policy into everyday examples and revisit it when the work or tools change.
Capability debt is the gap that grows when AI takes on work while people lose, or never develop, the skills to check and explain it. We help identify those gaps, plan staff practice and shared documentation, and review whether the team can catch mistakes and keep working when a tool fails.
Define who reviews the work, who can approve changes, and who to contact when something goes wrong. Ongoing support gives the team a place to bring questions as their needs change.
Before setup, we’ll agree on the information a tool can use, the decisions a person keeps, and what a useful result looks like. Your proposal will distinguish initial setup, ongoing support, software subscriptions, and any custom development.
Your team can join workshops, clinics, and peer learning through Keen Communities while private analysis, implementation, integration, and follow-through stay inside your Forward hours.
Community members can also hire HyperChimp for a bounded implementation project. Forward is for organizations that want an ongoing managed relationship.
A few details help us make the first conversation useful. It’s fine if you don’t have every answer yet.
No. Bring the task and your concerns. Choosing a tool comes after understanding what you need it to do.
No. Forward can work alongside your existing IT provider. We’ll agree on access and responsibilities with the people already supporting your organization.
We can recommend keeping the work with people or improving the existing process. A useful assessment should leave that option open.
Keen’s Frame, Ask, Check, Choose method focuses on people’s judgment when using AI. Ask about including that learning approach in the support your team needs.
Tell us what’s getting in the way. We’ll work out a next step together.