Most companies already know they should use AI. What they don’t know is where to start, or how to prove it worked.
AI for Everyday Life is for managers and team leads in any industry or function. You pick one process, map where it actually breaks, and write down how you’ll prove the change worked in 30 days.
What you’ll learn
- Spot the three gaps
- Software bought but work unchanged, AI that starts from zero every time, and pilots nobody measured.
- Pick one process
- Score five candidates on volume, repetition, written rules, cost of error and measurability. Keep one, cross out four.
- Map the waiting
- Measure elapsed time, not work time, and find the longest wait. That is where AI helps, or where it won’t.
- Prove it
- One metric, a baseline before you build, and an honest look at what caused the change.
- Make it stick
- A reminder in a tool you already open, a 10-minute weekly review and one visible number.
What you’ll do
- Answer the opening questionSay whether the AI tools your company bought actually changed how your team works.
- Score five processesList five real processes and score each one. Circle the winner and cross out the other four.
- Map the waitingWrite each step on a sticky note. Between steps, ask what waits and for how long. Put a red dot on the longest wait.
- Fill in your baseline cardWrite down the process, metric, today’s number, where it comes from, your 30-day target and who owns it.
- Build your 30-day loopChoose a reminder, a 10-minute weekly review and one number everyone can see. Name the owner.
- Make your commitmentRead one sentence aloud: what you will change in 30 days, and how you’ll know it worked.
What you’ll leave with
- One process chosen, and four set aside
- A process map with the longest wait marked
- A baseline card with your metric, target and owner
- A 30-day follow-up loop with a named owner
- A one-sentence commitment
An example workflow
Turning a call into notes and tasks
After a team call, the next steps often sit in one person’s head or in a long transcript nobody reads.
- Share the transcriptThe call transcript is shared with an AI assistant.
- Ask in plain EnglishThe request is simple: “Turn this into short meeting notes and a task list with owners.”
- AI drafts the notesIt pulls out the decisions, the open questions and the tasks.
- The team checks itPeople correct anything wrong and confirm who owns each task.
- Send it outThe team shares the notes and tracks the tasks in a tool it already uses.
AI does the note-taking. People own the work.
Other programs
Compare programs- AI for Sales
- Decide who to approach first, find where deals wait, and stop losing the follow-up.
- AI for Decision Making
- Turn one real decision into clear questions, data, a threshold and an owner.
- AI for Leaders
- Find AI opportunities, decide what to prioritize, and leave with an AI roadmap.
- AI Implementation Lab
- Build a working AI prototype for a real business problem, hands-on.
Questions
All questionsWhat does SDR do?
SDR is a learning consulting company. We help companies adopt AI, starting with training. When you’re ready, we can also work alongside your team to build what you need.
Why start with training?
AI adoption depends on people, not software. Training helps your team see what AI can do for them and try it on their own work. That is what turns a tool into a new way of working.
Will automating a process replace the people doing it?
That isn’t the aim. You look for waiting and repetitive work, so people can spend more time on the parts that need human judgment.
Do we need technical skills?
No. You work with sticky notes, a scoring sheet and a process you already know.
What if our problem isn’t AI?
We’ll say so. Many teams find the real fix is a clearer owner or a shorter queue, and that is still a useful result.
Can SDR help us implement what we learn?
Yes. Through Embedded AI Engineering we design, build, integrate, test and deploy with your team, subject to scope and technical requirements.
How do we get started?
Tell us your goals, your team’s experience and the challenges you want to address. We’ll suggest the right program or mix of services.
Let’s put AI to work.
Tell us your goals and your team’s experience, and we’ll shape the right next step.
- AI for Everyday LifeThis program
- Another programCompare
- Not sure yetWe’ll help
1conversation to find the right approach