Your Next Team Member Might Be a Prompt

Craig Leppan · 7 August 2025 · 4 min read

How Agent Mode is Reshaping Business Ideation, Design, and Delivery

The generative AI wave has moved from novelty to necessity. And with the launch of Agent Mode in ChatGPT Plus, we’re witnessing a shift that’s more than just technical—it’s structural. It changes who gets to build, who leads, and how fast you can go from idea to execution.

If you’re in consulting, strategy, product, or operations, this matters: You no longer need to code to build. You just need to define the job.

From Coders to Creators: A New Class of Builders

Visual prototyping and app design used to require specialist teams. Now, tools like Uizard and Stitch allow teams to describe what they want in plain English and receive functional mockups within minutes. With a few iterations, even a non-designer can produce a prototype that looks and feels enterprise-ready.

Agent Mode brings the same spirit into daily knowledge work. Need to summarize research, create a draft proposal, analyze a data set, or explore pricing options? Delegate the work to an agent that remembers your preferences, operates within a defined scope, and produces usable outputs—continuously.

It’s no longer just automation. This is a move toward orchestration.

Outcome, Not Access: Why Software Pricing is Being Rethought

Traditional SaaS pricing models—charging per user or seat—are increasingly misaligned with how modern AI tools are used. Each advanced AI query consumes considerable compute power. A static monthly fee tied to logins no longer reflects the real costs or value delivered.

Business Insider and Bain & Company both point out that usage-based and outcome-based models are emerging in response. As AI agents handle more tasks directly, software companies will charge for results, not access.

Agent Mode is a glimpse into this future. You don’t pay for a tool. You engage a capability.

Independent Consultants Now Compete with the Big Firms

Recent research from Catalant shows that independent consultants now use over 25 different AI tools in a typical workflow—with ChatGPT as the foundational one. This allows a solo practitioner to take on projects that previously required full teams.

Agent Mode takes this further by enabling reusable, specialized agents to handle repetitive work, freeing consultants to focus on insight, not execution. It’s an early version of a scalable, intelligent workbench—designed for the real pace of consulting.

What was once a ten-person job is now achievable by one person and a well-trained set of agents.

Industry-Specific Agents and the End of Generic SaaS

The future is moving away from one-size-fits-all software. Emerging agent-based platforms are being tuned for specific sectors—legal, financial, medical, and logistics.

Whether it’s an assistant trained to draft supplier reports or one that can interpret MRI scan data, organizations are starting to embed agents where traditional apps used to sit.

Agent Mode isn’t the final version of this shift—but it’s a signpost. It introduces memory, context, and workflow awareness into a single interface, all customizable by the end user.

What Forward-Looking Teams Should Do Now

If you’re running a business, leading a team, or delivering client value, here’s how to get ahead of this shift:

Enable Non-Technical Staff Let product managers, analysts, and strategists experiment with agent-based tools. Encourage idea testing through natural language prompts and prototype iterations.
Prepare for Digital Coworkers Digital workers—AI agents with defined roles and outputs—are coming to ERP systems, CRMs, and support desks. Plan for how you’ll govern, monitor, and collaborate with them.
Shift to Value-Based Thinking Evaluate software investments not by how many users log in, but by how much work is being done. Usage-based pricing isn’t just a vendor issue—it changes how you budget.
Build with Your Data, Not Just Public Tools Off-the-shelf agents are helpful, but they won’t differentiate your business. Start thinking about internal knowledge systems, secure data access, and how to train agents with your IP.
Invest in Prompt Literacy and Agent Governance The organizations winning with AI aren’t just those using tools—they’re the ones that understand how to control, validate, and guide them. Prompting is a skill. Oversight is a discipline.

In Closing

Agent Mode in ChatGPT Plus is not the endgame—it’s an entry point. But what it reveals is clear: the ability to describe, deploy, and direct AI-powered collaborators is no longer reserved for large engineering teams or expensive vendors.

At Imbila, we’ve said from the start—AI is not about replacing people, but giving the right people leverage. With tools like Agent Mode, that leverage is now available to consultants, creatives, and small teams everywhere.

If you’re still waiting for the right moment to start, this is it.

Define the role. Set the boundaries. Delegate the work. Then go and do what only you can do.