AI that earns its place in your business.
We build AI agents and workflow automation for small and mid-size businesses: lead research, customer follow-up, phone coverage, internal reporting. Every agent is disclosed to your customers, measured against a real number, and skipped entirely where AI is the wrong answer.
What can an AI agent actually do for a small business?
A real job with a definition of done. Our own agents research every sales lead and draft the outreach before a rep picks up the phone, and compile a morning brief across five business systems before the workday starts. For clients, the same pattern covers inbound triage, review requests, appointment reminders, and the phone ringing after hours.
The test we apply before building one: if you can name the job, the hours it eats, and what done looks like, an agent can probably hold it. If you can't, the problem isn't ready for AI yet, and we will say so.
What does AI automation cost?
It comes down to one choice: buy a tool or build one. An off-the-shelf tool is a monthly subscription, low and predictable, and it fits when your need is common. A custom agent wired into your systems is a one-time build, priced by how many systems it touches and how clean your data is. Either way a live agent needs monitoring and upkeep, so plan for a monthly run cost on top of the setup.
We scope against a real number and draw the line where AI stops before we build. For 2026 market ranges by tier, see our cost guide. Those are industry ranges, not a quote.
Should you buy an AI tool or build one?
Both are right for different jobs. An off-the-shelf tool wins when the need is common and you want it running this week. A custom agent wins when the job is specific to how you work and has to reach into your own systems. The test is fit: buy when the tool matches your process, build when your process is the point.
| Consideration | Off-the-shelf tool | Custom-built agent |
|---|---|---|
| Setup time | Live in days, configured inside the vendor's app. | Weeks to build and wire into your systems. |
| Fit to your workflow | Strong on common cases; unusual ones bend to the tool's assumptions. | Built around your process; unusual cases are handled but add scope. |
| Integration | Connects through the vendor's supported integrations; anything outside stays out. | Connects to what you already run; each new integration adds cost. |
| Run cost | A predictable subscription that scales with seats or usage. | A build up front, then monitoring and upkeep each month. |
| Who maintains it | The vendor patches and updates on their own schedule. | You own it, so someone has to watch and maintain it. |
| Where it breaks down | When your process does not match the tool's model. | When the scope is drawn too wide or the data is messy. |
For the build-versus-buy decision beyond AI, see our guide to custom versus off-the-shelf.
Will my customers know they're talking to AI?
Yes, every time. Customer-facing AI announces itself plainly, up front, no exceptions. Back-office AI does its work without theater. If a tool only works when people don't know it's a machine, we consider that a verdict on the tool.
Does automation replace my staff?
No. We aim it at the work nobody was doing well: the missed calls, the follow-ups that slip, the research that eats a morning. Your people stay in front of your customers, and the system catches what falls. A person first, then the machine, is how we set up every customer-facing flow.
Where is AI the wrong answer?
Anywhere a wrong answer is expensive and hard to catch: payroll math, legal language, regulated claims. And anywhere plain software already works, because deterministic code is cheaper, faster, and auditable. Part of every scope is drawing the line where AI stops, and we put that line in writing before we build.
Name the job that eats your week. We'll tell you if AI can hold it.
A thirty-minute call with the person who would build it. No pitch, no slide deck. We will tell you if we are not the right fit.