AI agents, where they earn their place.
Agentic workflows can take real coordination work off your team. But many problems are better solved with simple automation. FPA helps you tell the difference, then builds agents with clear guardrails and human sign-off.
In short: if the process is a fixed flowchart, automate it. If a person needs help with information, give them an assistant. Use an agent when the work is multi-step, messy and spans tools, and keep a person accountable for the outcome.
Automation, assistant or agent?
| Workflow automation | AI assistant | AI agent | |
|---|---|---|---|
| Best for | Fixed, rule-based steps | Helping a person read, draft or find information | Multi-step work across tools that needs some judgement |
| Example | Weekly sales report emailed every Monday | Answering staff questions from the HR handbook | Researching a new lead, drafting outreach and preparing it for review |
| Predictability | High | Medium, with a person reading the output | Lower, so it needs guardrails and logs |
| Cost to run | Low | Low to medium | Medium |
| Human role | Handle exceptions | Use and check the output | Approve consequential actions |
A practical example: an agentic sales workflow
A typical agentic lead workflow we design looks like this. A new enquiry arrives. The agent researches the company, checks your CRM for history, scores fit against criteria you set, drafts a personalised reply and schedules a follow-up. A salesperson reviews and sends. The agent does the legwork, and the person owns the relationship and the commitment.
How FPA builds agents
- Charter first. We define the agent's purpose, inputs, tools, permissions and where a person must sign off, before writing any code. Our Agent Studio exists for exactly this.
- Narrow scope. One workflow, one measurable outcome.
- Grounded in your information. Agents work from your documents and systems, not guesswork.
- Logged and reviewable. Every action is recorded so you can see what the agent did and why.
- Measured. Time saved, accuracy and adoption, reviewed before the scope is widened.
The ground rule
The AI drafts and you decide, and the evidence is there to show it. That principle runs through every agent we build, and it lines up with Singapore's direction on responsible, people-centred AI at work.
For a fuller introduction, read our guide: AI agents for SMEs: what they are and how they work.
Related
Common questions
What is an AI agent?
An AI agent is an AI system that can work through a multi-step task towards a goal. It decides which step comes next, uses tools such as search, email, spreadsheets or your business systems, and adjusts based on what it finds. A chatbot answers a question. An agent can carry out a sequence of actions.
When should an SME use an AI agent instead of automation?
Use automation when the steps and rules are known in advance. Consider an agent only when the task is multi-step, involves unstructured information (emails, documents, web pages), spans several tools and needs some judgement about what to do next. If you can draw the process as a fixed flowchart, you probably don't need an agent.
Are AI agents safe for an SME to use?
They can be, if they are designed with limits. That means a narrow scope, access only to the data and tools they need, logs of what they did, and a person approving anything consequential. We design every agent's charter (its purpose, permissions, guardrails and sign-off points) before building it.
How much does an AI agent cost to build?
It depends on scope and integrations. We usually start with a small pilot on one workflow so you can see real results and running costs before committing further. The Transformation Snapshot is the quickest way to start that conversation.
Not sure if you need an agent?
Most businesses don't start there. The Snapshot shows where to begin.