Agent 01
I
The intake agent
Sales organizes, enriches, routes
AI Agents / One Process · Clear Limits · Human Review
One agent, one process, clear limits.
An AI agent works through a sequence of tasks: gathering information, using connected tools, taking permitted actions toward a goal. We set one up for one well-defined workflow, with the actions it may take written down and your team reviewing where it matters.
AI agent development
Tool-using agents
Permitted actions
Human review
Logs and limits
CRM, inbox, forms
// 01
what we build
An agent that finishes a job, inside limits you can read.
Our work as an AI agent development company starts with the difference: a workflow follows steps you drew. An agent is given a goal and a set of tools, and works out the steps itself: it reads the new inquiry, looks the company up, checks the calendar, drafts the reply, creates the task, and escalates when something does not fit.
That freedom is the point and the risk. So we build agents for one well-defined process, with a written list of the actions it may take, the ones it must ask about, and the ones it may never take.
The agent runs inside the tools you already use. Your team sees its work as drafts, tasks and a log, and reviews the decisions you said need a person.
01
Inquiry intake and enrichment agents
02
Scheduling and follow-up agents
03
Research and data-gathering agents
04
Document collection and checking agents
05
Support triage agents
06
Order and request processing agents
07
Tool connections (CRM, inbox, calendar, forms, sheets)
08
Permitted-action design and stop conditions
09
Human review and escalation paths
10
Logging, audit trail and reports
11
Evaluation on real cases
12
Documentation and handover
// 02
agents vs workflows
Most businesses need a workflow. Some need an agent. We tell you which.
If the steps are always the same, a workflow is cheaper, faster to build and easier to trust. An agent earns its place when the steps depend on what it finds: which documents are missing, what the customer actually asked, what the calendar allows.
The honest answer on the review call is often "a workflow with one AI step". We say that, because an agent that was not needed is a system nobody wants to maintain. If the job is drafting or finding answers for your team, see AI Integrations & Copilots.
When an agent is the right shape, the work is in the limits: what it may do, what it must ask, how you see what it did. That is what we design first.
// 03
agents that fit a small business
Four agents with a clear job.
Each of these has a goal in one sentence, a short list of tools, and actions that are safe to take alone. That is what makes them buildable in weeks.
Agent 02
D
The document collector
Onboarding asks, checks, reminds
Agent 03
S
The support triage agent
Support classifies, drafts, escalates
Agent 04
R
The research agent
Operations gathers, summarizes, files
Ask for a quote for a first agent. It is built in weeks and measured for a month before we talk about the second one.
// 04
how rtw works
Define the limits first. Then the agent. Then the month of proof.
We start by writing the agent's contract: its goal, its tools, the actions it may take alone, the ones it must ask about, and how you see what it did. For ongoing maintenance after launch, see Application Support.
agent.flow
06 stages
REVIEW
30-minute call, one process
CONTRACT
goal, tools, actions, limits
BUILD
agent, connections, logs
PROVE
real cases, people reviewing
LAUNCH
live, escalation to people
MEASURE
a month of numbers
01
Process review
A 30-minute call. You describe the job; we tell you whether it wants an agent, a workflow, or neither.
02
The agent's contract
A one-page document: the goal, the tools, the permitted actions, the actions that need a person, the stop conditions, the agreed quote.
03
Build and connect
We build the agent on the model we agree on and connect it to your CRM, inbox, calendar, forms or sheets. Every action is logged.
04
Prove it on real cases
The agent runs on real work for two weeks with your team reviewing every escalation and a sample of everything else.
05
Launch
Live, with the review points you chose. You own the agent, its contract and its documentation.
06
Measure for a month
Response time, hours saved, escalations, errors. Then we decide together what to widen and what to leave alone.
// 05
why rtw
Agents with human oversight, from people who will support them.
Limits before autonomy
We write what the agent may do before we write the agent. The contract is yours to read and change.
One process, measured
A single agent with a job you can measure, not a platform. The second agent comes after the first has run for a month.
Your tools, your data
The agent reads and writes through the tools you already use, with access scoped to the job and logs you can open.
Senior engineers, Reston VA
The people who scope the agent build it and answer for it. Since 2012, for USA TODAY, Century 21 New Millennium and businesses across the DC metro.
Supported after launch
Agents drift as the business changes. A support plan with a named engineer keeps the contract and the behavior in line.
client voices
What clients say.
// 06
features
What we can build into an AI agent.
AI agent development
Custom AI agents for business
Tool-using agents
Agentic workflows
Intake and routing agents
Scheduling and follow-up agents
Document collection agents
Support triage agents
Research and summary agents
CRM, inbox and calendar connections
Web form and WordPress connections
Permitted-action design
Stop conditions and limits
Human review and escalation
Logging and audit trail
Evaluation on real cases
Cost and usage controls
Documentation and handover
// 07
services checklist
A practical checklist of what RTW can help with.
Review / discovery
Contract / limits
Build / engineering
Prove / quality
Launch / handover
Support / post-launch
// 08
fit
Good fit when the next step depends on what the agent finds.
RTW is a good fit when one process has a clear goal, a handful of tools, and actions that are safe to take alone, with a person available for the rest.
It is not a good fit when the goal is "an AI that runs the business", or when the actions cannot be made safe. We say so on the review call.
common situations
- New inquiries need looking up, qualifying and routing before anyone replies
- Onboarding needs documents collected and checked from several people
- Support requests need classifying and drafting before a person answers
- Research tasks eat an afternoon every week
- A no-code "agent" was tried and nobody could tell what it did
- You want the limits written down before anything runs
- You want one agent measured, not a platform promised
// 09
straight answers
Straight answers to the questions we usually hear first.
OBJ 01
Is an agent safe to let loose on our customers?
It is not let loose. It has a written list of permitted actions, a list of things it must ask about, and things it may never do. Everything it does is logged.
OBJ 02
How is this different from a workflow?
A workflow follows steps you drew. An agent chooses the steps toward a goal using the tools it has. Most first projects are workflows; we build an agent only when the steps really do depend on what it finds.
OBJ 03
What does it cost to run?
Model usage for a single-process agent is usually small next to the hours it saves. We set usage limits and show you the number every month.
OBJ 04
What if it makes a bad call?
Bad calls are caught at the review points and in the month of measurement. The agent cannot send, pay, delete or promise without a limit you set.
OBJ 05
Who owns the agent?
You do: the contract, the code, the accounts and the documentation. Support is a plan, not a lock-in.
// 10
common questions
Questions from the intake conversations.
01 What does an AI agent actually do in a small business?
It takes a goal ("get this inquiry ready for a reply") and works through it with the tools it has: reads the message, looks up the company, checks availability, drafts the reply, creates a task, and escalates when something does not fit the rules you wrote. As an AI agent development company, we define its tools, permitted actions and review points before the build.
02 What must an agent not do?
Anything you did not permit. In practice: send money, delete records, make promises to customers, or act outside the one process it was built for. Those limits are written in its contract and enforced in the system.
03 Which tools can the agent use?
Email, CRMs (HubSpot, Pipedrive, Salesforce and others with an API), calendars, web forms, Google Sheets and Excel, Slack and Teams, WordPress, document stores, and the custom systems we build.
04 Do we need a workflow or an agent?
If the steps are the same every time, a workflow. If the next step depends on what is found along the way, an agent. The review call answers this in thirty minutes.
05 How long does it take?
A first agent is scoped in one call, built in three to five weeks and proved on real cases for two more.
06 How much does it cost?
Ask for a quote. We agree the scope and quote in the contract before the build. Running costs and support are shown monthly.
07 What happens when the agent is unsure?
It stops and hands the case to a person with what it found. Being unsure is a stop condition, not a reason to guess.
08 Which AI models do you use?
Anthropic, OpenAI or Google models, chosen for the job. Your data goes to the model only for the step that needs it and is not used for training.
09 Do you work remotely?
Yes, across the United States. Clients in Reston, VA and the DC metro can meet us by appointment.
// ready when you are
Bring us one process. We'll tell you if it wants an agent.
A 30-minute review: the goal, the tools, what could run alone, what must stay with a person, and what a first agent would cost.