AI agents for small business
Give routine work an owner. Keep decisions in your hands.
Autonomous agents act inside the tools you already use. Each has a specific job, limited access, and written rules for human approval.
An agent does a job, within a defined scope.
It gathers context, works through a task, uses authorized tools, and reports the outcome. It is not an all-purpose employee, a source of guaranteed truth, or a substitute for accountability.
Connected to your work
Email, Slack, CRM and ERP records, internal applications, and repositories can become sources or tools where access is available.
Designed for supervision
You can see what ran, what changed, and what needs a decision. The agent follows an agreed scope instead of improvising its authority.
Examples of useful first jobs
These are possible use cases, not claims about client projects.
Triage incoming requests
Sort requests, gather missing context, and route them to the right person. Sensitive replies wait for approval.
Prepare a weekly business review
Read ERP or CRM records and assemble a short review with source links and a prioritized list for an operator to check.
Monitor automations
Identify failed runs and apply a documented, reversible repair where authorized. Escalate unfamiliar failures.
Draft follow-ups
Prepare messages from the relevant customer context and place them in an approval queue before sending.
Three boundaries, written before deployment
Control model
Does alone
Reads authorized sources, prepares summaries, classifies work, and performs explicitly permitted reversible actions. Every run is recorded.
Control model
Waits for approval
External messages, spending, binding commitments, and sensitive changes go to an identified human approver.
Control model
Never
Bypasses approval, uses access outside its role, changes its own permissions, or ships client work without acceptance testing.
Custom AI agent development, from spec to production
Discovery call
Walk through the job, the tools, and the decisions a person must keep.
Written specification and rules
Define inputs, outputs, permissions, approval steps, failure handling, and acceptance criteria.
Pilot on one process
Use a limited scope, review the reports, and test approval and recovery paths before broader access.
Rollout
Enable the agreed triggers and access only after you have tested and accepted the pilot.
Monitoring and maintenance
After the fixed build price, a monthly plan covers supervision and maintenance. New scope is agreed separately.
How pricing works
Every agent has two parts in its price. A fixed build price covers discovery, the written specification, development with tests, integration and launch: $2,000 to $4,500 for a single-task agent on your existing tools, $10,000 to $30,000 for an agent built into a custom application. A monthly plan of $500 to $1,100 covers supervision and maintenance.
What happens after launch
An agent is not a script you install and forget. This is what the monthly plan covers.
1. Monitoring
Every run is logged; a failed or missing run raises an alert.
2. Human approval
Actions with consequences, such as spending, messages to new recipients, or anything outside the agent’s remit, wait for a click in Slack or in your tools.
3. Repair
Failures are investigated and fixed under the plan. In our own operations, a dedicated agent repairs the others after an automatic check every morning and evening.
4. Updates
Models and APIs change; updates are tested and rolled out so the agent keeps working.
5. Reporting
A short report of what the agent did, what it asked, and what failed.
What you need to provide
A process and a responsible person
Bring a real workflow, sample inputs, a description of a good outcome, and someone who can resolve questions and approve actions.
Scoped access and business rules
Provide authorized accounts, relevant documentation, data-handling requirements, and the exceptions the agent must escalate.
Questions before we start
How is an agent different from a chatbot?
A chatbot usually waits for a question. An agent can start from a schedule or event, gather context, use authorized tools, and report its work. Its permissions still have written limits.
Can it send messages or spend money?
Spending and messages to new recipients wait for a person to approve them. Routine messages from templates you have approved, such as reminders, can go out on their own if you decide so.
Will it work with our existing tools?
We check the available APIs, permissions, and data access during discovery. The first process is chosen around integrations that can be used reliably.
What happens when it fails?
Run statuses and monitoring make failures visible. Safe recovery can be automated within the agreed scope; ambiguous failures are escalated for human review.
How is the service priced?
A fixed build price covers the agreed implementation: $2,000 to $4,500 for a single-task agent on your existing tools. A monthly plan of $500 to $1,100 covers supervision and maintenance; model usage and hosting depend on volume.
Can we change or stop the agent?
Yes. The deployment includes a way to pause its triggers and revoke access. Changes to its role or permissions are reviewed and documented before use.
Which task should stop landing on your desk?
Bring the spreadsheet, the workflow, or the idea. We’ll talk through what is worth building and where human approval belongs.