The Future of Work: Will AI Agents Become Part of Your Team? - Business tips by J Sampath, Founder and CEO of JB Soft System

Imagine opening your CRM on a Monday morning and asking, “Which sales enquiries need my attention today?”

An AI agent could check which prospects are waiting for a reply, read their requirements, and draft follow-ups. If a prospect wants a website launched next month, the sales agent could ask a pricing agent to check the approved rates and a delivery agent to check the project calendar. You could then see which enquiries are ready to move forward and which need your decision.

The tools to build that kind of workflow already exist. For a business owner, the more interesting question is how much of the work to delegate and where to keep human judgment in the loop.

1. Give an AI Agent a Job Description

When you hire someone, you explain what they are responsible for, what information they can access, and which decisions they can make. The same questions help when you set up an AI agent.

Take an accounts agent connected to an ERP system. Its job could be to read imported bank transactions, suggest matches against invoices, and prepare a list of entries the accounts team needs to review. If two invoices have the same amount and the bank narration is unclear, the agent can be configured to flag the transaction for a person to resolve.

A simple job description should cover five things.

Onboarding makes that job description real. Give the agent the approved procedures, connect the tools it needs, and enforce access limits in the software itself. Test it on past transactions before letting it handle live work. The same agent setup can then be used for many reviews, with a separate record for each job.

2. Let Agents Work Together Where Specialisation Helps

Consider a customer support request. One agent could read the ticket and identify the issue. A technical agent could check the service logs and suggest a fix. A review step could compare the proposed response with company policy before it goes to the customer.

There are two ways to organise that work. A coordinating agent can call specialists and put their findings together, or it can hand the case over to a specialist who takes responsibility for the next step. For many small businesses, a single agent with access to the right tools may be enough. Separate agents make sense when different parts of the work require different information, permissions or responsibilities.

The quality of the handover matters. A shared ticket or CRM record should show what the customer asked, which checks were completed, and what is still open. If two agents reach different conclusions, the record should show the disagreement and who will resolve it. That also makes it easier for a person to step in without starting the investigation again.

3. Make One Agent Available to Many Teams

Think of a website audit agent. The sales team could use it to assess a prospect’s website. The support team could use it to investigate a speed complaint. Clients could request an audit through a customer portal. The same service could handle requests from all three, with separate permissions, job histories and reports.

This is where the comparison with an API helps. A performance API could return a page’s loading time. An audit agent could call that API, inspect other aspects of the site, and use the findings to prepare a list of fixes in priority order. The agent itself could also be made available through an API.

Standards are emerging for these connections. Model Context Protocol (MCP) helps connect AI applications to tools and data. Agent2Agent (A2A) helps independently built agents discover capabilities and delegate tasks. The businesses involved still decide who can request a service, what information may be shared, and what actions are authorised. An agent might eventually commission work from an external provider’s agent, but automatic negotiation and payment would still depend on commercial agreements and spending controls.

4. Can Agents Think, Decide and Collaborate?

In practical terms, an agent can break a goal into steps, choose a tool, look at the result, and change what it does next. That is a form of problem-solving. Whether a machine has conscious experience is a separate question.

What matters in business is the authority to act. A support agent might be allowed to decide which team should receive a ticket. A sales agent might prepare a quotation using approved rates, while a manager approves any special discount or delivery commitment. An accounts agent might propose an invoice match, while an authorised person approves a payment.

Agents can also review one another’s work. If two agents agree on a price because they both consulted the same outdated rate card, their agreement offers little assurance. A better check is to verify that the rate card is current and that the proposed price follows the company’s rules.

5. Put Methodology Before Technology

At JB Soft System, our work with websites, CRM and ERP systems has taught me to start with how the business handles the work. If the sales team has no agreed pricing rules, an agent will struggle to prepare consistent quotations. If customer records are incomplete, automating follow-ups can send the wrong message to the wrong person faster.

My business tip is to pick one task your team repeats every week. It might be reviewing pending enquiries, preparing a project status report, or matching bank transactions. Write down what a capable employee would need to do it, what a good result looks like, and which exceptions require a person. Let the agent prepare the work while the team reviews it. Measure the time saved and pay attention to the corrections people make. Those corrections often show where the process itself needs improvement.

Over time, the biggest change may be how much less time people spend moving information between systems. A sales executive could begin the day with the right follow-ups already drafted. A project manager could receive a complete brief when a quotation is approved. An accounts team could spend its morning investigating unusual transactions instead of looking for routine matches. Each of those gains begins with a job the business understands well enough to delegate.

- J. Sampath
Business Growth Strategist

About the Author

J. Sampath is the Founder and CEO of JB Soft System, a premier Chennai-based IT consulting and custom software development firm established in 2001. He is widely recognized for his unique philosophies on debt-free business growth, standard operating procedures (SOPs), and values-driven leadership. He regularly shares his business insights, operational frameworks, and morning reflections to empower the next generation of entrepreneurs.