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AI Agents for Business: What Changes and How to Start
The shift from asking AI questions to having AI do the work, and the first five steps to get there.
By Ron PascalOctober 28, 2026
01 · Where most teams are
From answering questions to doing the work
The most common gap I see is not access to AI. It's how AI is used.
Assistant mode
A person asks AI a question, gets an answer and does the work. Helpful, but the person is still the bottleneck. This is where most teams are today.
Agent mode
AI performs the work: it updates records, drafts and routes documents, runs scheduled reports and hands off to other systems. People review and decide.
The companies building AI are investing heavily in agents for a reason. Google, Microsoft, OpenAI and Anthropic have all made agents central to their products. Teams that only use AI for answers will fall behind teams that use it to complete work.
02 · Agent to agent
Your systems will talk to each other's systems
Much of today's business coordination is people relaying information: scheduling meetings, confirming details, sending documents, checking status. That work is moving to agents.
Today
People coordinate with people, then each person updates their own tools.
Next
Agents handle scheduling, status and routine back-and-forth between companies. People focus on relationships and decisions.
The most valuable skill in this shift isn't knowing every answer. It's asking, for each recurring task: "How can an agent handle this?"
03 · Capabilities change fast
Re-evaluate tools every quarter
Agent capabilities improve in real time. A tool that fails a task this quarter can handle it well next quarter after a major update. Some examples from my own work:
Database connections Weak to strong
For years, the AI built into my database platform added little value. Within a few weeks of a major update, its connection for outside AI tools became reliable enough that AI now reads and updates my records directly.
Assistants Uneven to dependable
General assistants that struggled with multi-step tasks a year ago now complete them reliably, including research, drafting and scheduled reporting.
Coding agents Major gains
Coding agents went from autocomplete to building and testing complete applications, which changes what small teams can build in-house.
Usage limits Improving
Usage limits that once interrupted work regularly have eased considerably on leading plans.
04 · Avoid lock-in
Use more than one tool and keep testing
Don't standardize on one AI vendor for everything, and don't dismiss a tool permanently because it failed once.
Use several tools
Different tools for different jobs. When one improves, you're already positioned to use it.
Re-test regularly
The tool you dismissed six months ago may now be the best option for that task.
05 · Assess your team
Three signs you're still in assistant mode
AI only gets typed questions
Expand how you use it. Voice input, scheduled tasks and system connections let AI work alongside people instead of waiting for prompts.
Customers and partners can't reach your AI
Open it up. If nothing outside your team can interact with your AI, such as a booking assistant, a support agent or an intake bot, you haven't started agent-to-agent work.
AI handles less than half of your recurring tasks
Delegate more. My working benchmark is 60% of routine tasks. List your team's recurring work and ask of each item: "How can an agent handle this?"
✓ · Self-assessment
Assistant mode or agent mode?
Check every statement that is true for your team today.
✓ · Start this quarter
Five steps to get started
Map recurring work Week 1
List your team's recurring tasks. For each one, note how an agent could handle it.
Expand inputs Week 1
Start using voice and scheduled tasks for routine requests.
Delegate one workflow Weeks 2–3
Choose one workflow, such as meeting follow-ups, CRM updates or a weekly report, and have an agent complete it end to end, with human approval.
Re-test a dismissed tool Week 3
Run a real task through a tool you set aside earlier. It may have changed completely.
Open one external channel This quarter
Launch one way for customers or partners to interact with an agent: scheduling, intake, support or follow-up.
Tool observations reflect my own experience as of late 2026. This area changes quickly, which is the point of this guide.
By Ron Pascal
Ron Pascal has 12+ years in marketing and sales and has worked with more than 500 clients. He publishes the playbooks he uses with clients.
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