AI Agents
AI agents for work that takes more than one step
Some work is too involved for a simple automation. It runs across several steps, needs a judgment call at each turn, and pulls from more than one system. AI agents are built for exactly that kind of job, and we're honest about when a simpler tool would do instead.
What it is
An agent handles the steps, start to finish
A plain automation runs a fixed set of steps the same way every time. An AI agent takes on work that isn't that tidy. It looks at what's in front of it, decides what to do next, uses the tools it's been given, and works through a job that takes several steps to finish.
That makes agents a strong fit for multi-step work that used to need a person to move it along. It also makes them the wrong tool for plenty of jobs. When a straightforward automation would do the same work more simply, we build that instead, and we say so before you spend anything.
What this looks like
The work agents handle well
The specifics depend on your business, but agent-shaped work usually falls into a few patterns. The assessment is where we find which of these fits you.
Research and synthesis
Pulling information from across your sources and tools into one clear answer, so no one spends the morning gathering it by hand.
Multi-step work
Jobs that branch and decide as they go, where the right next step depends on what the last one turned up.
Using your tools
Agents that work through the systems you already run, reading and updating your apps and data the way your team does.
Coordinating a process
Running a workflow across several systems end to end, handing each step off to the next without someone shepherding it.
How a build goes
A defined project, with limits built in
Once the assessment shows an agent is the right fit, we build it as a defined project with the scope, timeline, and price set up front. It works through the tools you already use, so your team doesn't have to change how they work to get the benefit.
We give each agent clear boundaries for the work it does, and its independence matches the risk of the job. Higher-stakes steps get validation and checks, the agent escalates to a person when something falls outside its limits, and low-risk, routine steps run on their own.
Where it fits
Agents work best as part of a plan
Agents are one option, not the answer to everything. A lot of valuable work is better served by plain AI automation, and the way to tell the difference is AI strategy: working out which jobs are worth an agent, which want a simpler build, and which are better left to your team.
For the full picture, the services overview shows how strategy, automation, and agents fit together.
Ready when you are
See if an agent fits your work
Start with the Free AI Opportunity Assessment. We look at where your multi-step work is piling up and give you a straight answer on whether an agent, a simpler automation, or neither is the right call.
Common questions
- What's the difference between an AI agent and automation?
- A plain automation runs a fixed set of steps the same way every time. An agent takes on work that isn't that tidy: it looks at what's in front of it, decides what to do next, uses the tools it's been given, and works through a job that takes several steps to finish. If the steps never change, automation is simpler and we build that instead.
- When is an agent the right choice, and when isn't it?
- An agent earns its place when work is genuinely multi-step, involves a decision at each turn, or pulls from several systems to get to an answer. When the work is repetitive with fixed steps, a straightforward automation does the same job more simply and cheaply. We tell you which one fits before anything gets built.
- How do you keep an agent reliable?
- We give each agent clear boundaries for the work it does and match its independence to the risk of the job. Higher-stakes steps get validation and checks; the agent escalates to a person when something falls outside its limits; low-risk, routine steps run on their own. The safeguards are sized to the consequences of getting it wrong.
- How much does an agent cost, and how long does it take?
- It depends on the scope, which we set together after the assessment. Because we quote defined projects, you get a clear price and timeline up front rather than an open-ended clock. No surprise invoices.