AI training for employees and teams, inside real work
Signa’s AI training for employees and teams is hands-on: working sessions inside your team’s real tasks, not slides or a course. Every person learns to run, check and improve their own AI agents, so your team owns them after we leave.
What the training covers
Every session uses the work on your team’s desks that week.
Working sessions on real tasks
People bring the work in front of them and leave with it done, with an agent doing the heavy part.
When to trust it and when to check
Where an agent is reliable, where it guesses, and how to catch a wrong answer before it reaches a customer.
Writing instructions agents follow
How to give an agent a clear job, the right context and its limits, and how to fix the instruction when the output is off.
Running your own agents
Each person learns to start, pause and review the agents that work beside them.
Changing it when the process changes
How to update an agent or an automation yourself when a price, a policy or a step changes.
Owning it after we leave
Documentation and a handover, so the team keeps improving what we built without calling us.
A sample working session
An example of the format, not a client story. One session, one real task: here, answering customer questions about where an order is.
Walk through the task
The person who does it shows a recent real case, start to finish, and where it slows down.
Write the instruction
Together we give the agent its job, the records it may read and the limits it must keep. Plain words, no code.
Run it on real cases
One normal case and one awkward one from this week. Everyone sees what the agent did and why.
Check the output
Where it got it right, where it guessed, and how to catch a wrong answer before it reaches a customer.
Fix it and run again
The person changes the instruction themselves and runs the same cases until the answer holds.
Agree what needs a person
Which replies the agent may draft, which a person approves, and who owns the agent from tomorrow.
The session ends with that week’s work done and the instruction saved where the team can change it.
Who learns what
Everyone works on the same agents. Each role learns the part it is responsible for.
The owner
Where agents pay first in the business, what to approve and what to hand to the team, and how to tell whether an agent is working.
Managers
How to check an agent’s work, set what needs approval, read its log, and decide when a process change means the agent changes too.
The person doing the task
How to instruct their own agent, run it on the day’s work, catch a wrong answer, pause it and fix the instruction.
What your team leaves with
Agents running on their own work
Each person runs an agent on their heaviest task, not a practice exercise.
Instructions they wrote
Saved where the team can find them and change them when a price, a policy or a step changes.
A rule for when to check
What the agent may do alone, what a person approves, and what it must hand over.
A named owner for each agent
One person who runs it, watches it and can pause it.
Documentation
What runs where, what it touches and how to change it, written for your team.
How AI training works
Training runs beside the agents we build, one team at a time.
Embed
An engineer sits with the team and learns how the work is done today.
Build
We build an agent for each person’s heaviest task, so training starts on something real.
Train
Working sessions on that task: run it, check it, improve it, until each person runs it alone.
Hand over
The team owns its agents and the documentation. Then we move to the next team.
Who it is for and what it costs
Who it is for
Owners and operators of businesses past $10 million a year, where growth has meant more hires, more handoffs and more of your own time holding it together.
What it costs
Engagements start at $10,000 per month, one priority at a time on a weekly loop.
What you own
Everything we build. It runs in your accounts, with documentation your team can follow and change.
Questions about AI training for teams
What does AI training for teams look like?
Working sessions inside your team’s real tasks, not slides. People learn to give an agent clear instructions, check its work and change it when the process changes. By the end, your team runs it without us.
Who should take part?
The people who do the work every day, and the managers who check it. Training works best when the people closest to a task learn to run the agent for it.
Do people need technical skills?
No. If someone can explain their job to a new colleague, they can learn to instruct and check an agent. We teach the rest on their own work.
Is this a course or a workshop?
Neither. It runs inside the engagement, beside the agents we build, so every session ends with real work done. There are no generic exercises.
Can you train our team on the AI tools we already have?
Yes. Training uses the tools and systems your team already works in, alongside the agents we build with you.
What happens after the training?
Your team owns the agents and the documentation, and keeps improving them. We pick the next priority with you, or step back.
Related guides
Where to start with AI automation
Pick a first automation by following the work, valuing it honestly, and shipping one complete improvement you can measure.
Your first 90 days with Signa
How a Signa engagement moves from understanding the business to a first release and a clear next priority.
How to test an AI agent before your team depends on it
A practical test plan for AI agents: representative cases, boundaries, failure states, limited release, and checks after every change.
Talk to us about the work you would hire for next
Send one short email about the work that keeps piling up. A person reads it and replies.
Engagements start at $10,000/month. Pricing
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