What an AI agent is (and isn't)
An AI agent is software that can pursue a goal across multiple steps: gather context, take actions in tools, check results, and escalate when stuck. It is not a chatbot that only replies in a chat window. For SMBs, the useful version almost always lives where the work already happens — email threads, CRM records, shared docs, scheduling tools, and internal dashboards.
We design agents as colleagues with guardrails: they draft, research, update, and route; a human still owns the judgment calls that can create risk or brand damage.
Who this is for
- Operators drowning in research, inbox triage, or CRM hygiene
- Sales and success teams that lose hours to repetitive follow-ups and data entry
- Founders who want leverage without hiring a full ops department overnight
- Teams willing to start with one workflow that can prove value in a pilot
Common agent patterns we build
These are illustrative problem shapes, not claims about named clients:
- Research & brief agents — gather sources, summarize, and produce a structured brief for a human decision.
- Inbox triage agents — classify, draft replies, flag VIP threads, and queue actions with approval gates.
- CRM hygiene agents — keep records current from meeting notes, emails, and forms without spreadsheet babysitting.
- Sourcing & screening agents — collect candidates or vendors against a rubric, then hand shortlists to a person.
- Scheduling & coordination agents — propose times, prepare agendas, and chase missing inputs.
For deeper patterns, see Inbox & CRM agent patterns and Agent vs chatbot vs automation.
How we build them
- Map the real workflow and the cost of the status quo.
- Pilot one agent path live in your accounts with a fixed price and timeline.
- Run with monitoring, evaluation, and continuous fixes so reliability compounds.
Human control is designed in from day one — not bolted on after something goes wrong. Read Where human control should stay.
What you get in a pilot
Live workflow
One agent path running in your real tools — not a slideware prototype disconnected from production accounts.
Guardrails & handoffs
Explicit boundaries, tool permissions, and human approval gates where brand, money, or legal risk sits.
Success metric
A primary metric agreed before build (time saved, error rate, tickets handled) and a clear pilot end date.
Run playbook
How to monitor, who gets paged, what to tweak next — so the system can become a Run engagement if earned.
Fit / not a fit
Good fit
- One painful, multi-step workflow you can describe in plain language
- Access to the tools involved (email, CRM, docs, etc.)
- A decision-maker who wants a pilot receipt, not an endless workshop
- Willingness to keep a human on material judgments
Not a fit
- “Just wrap ChatGPT” with no process ownership
- Fully autonomous high-stakes decisions with zero review
- Multi-year enterprise SI programs seeking a large account team
- Unclear problem, no baseline, and no one who lives the workflow
Pricing signal
Agent work follows the same Map → Pilot → Run economics as the rest of the firm:
- Map — typically $1.5k–$4k (often credited if you proceed to Pilot).
- Pilot — most single-workflow agent pilots land in $8k–$28k depending on integrations, evaluation, and risk controls.
- Run — $2k–$8k / month once the pilot proves value, scoped separately.
You always get one number before we build. Detail: Services pricing · How we work · Pilot scoping guide.
FAQ
What is an AI agent for a small business?
An AI agent is software that can take multi-step action toward a goal — not just answer a chat question. For SMBs, that usually means working inside tools you already use: email, CRM, docs, calendars, and internal systems.
How is this different from ChatGPT?
Chat interfaces answer prompts. Agents run workflows: pull context, draft or update records, schedule, escalate, and hand off to a human when judgment matters. We build the workflow around your process, not a generic chat window.
Do you train custom models?
Usually no. Most value comes from reliable process design, tool integrations, evaluation, and human-control design on top of strong existing models — not training a private model from scratch.
What does a pilot look like?
One real workflow live in your accounts, fixed price and timeline, measured against the manual process it replaces. See How We Work and our pilot scoping guide.
Ready to pilot an agent?
Pick one painful workflow. We'll tell you if an agent is the right pattern — or if a simpler automation wins.