Service · Custom AI agents

Agents for the jobs that should run without anyone opening anything.

Some jobs happen at 2am, across several inboxes, or a hundred times a day. Training a person will not reach them. For those I build an agent that runs on accounts you own, with a person approving anything that matters, a hard kill switch and a spending cap. And I stay after launch.

Built as a 14-Day Outcome Sprint, from $4,500 · fixed quote with your map
14 daysfrom scope lock to live
60 daysmeasured against one KPI
1 switchto stop it completely, demoed at handoff
The problem

An agent is only as good as its limits.

Anyone can make a demo that triggers ten steps. The hard part is making it reliable: what it may read, what it may never send, who approves, what happens when an API fails at midnight. Every build starts from those limits, written down, before a single connection is made.

Guardrails in every build
Written access scope before anything connects, revocable any time
Human approval on anything external or financial
A hard kill switch, demonstrated at handoff
API cost caps so a bad loop costs dollars, not thousands
Loop prevention on anything that replies
Logs a non-technical owner can read
Runs on accounts and hardware you own
Runbook and fallback so it never depends on me
What's included

What you actually get.

Scoped from your audit map, so you only pay for the parts you need.

  • Inbox triage across one or several inboxes: sort, draft, route, escalate
  • Missed-call text-back and five-minute lead replies
  • Owner's morning brief from calendar, inbox and open loops
  • Document chasing and follow-ups
  • Quote and proposal first drafts from your price sheet
  • Weekly status and KPI packs from your spreadsheets
  • Research and lead-list building from public data
  • Scheduling, confirmations and reminders
Examples

What the work looks like on paper.

Every engagement produces documents you keep. These are example layouts with sample data; yours are built from your audit.

Agent spec · inbox triagesigned
Triggernew email, 3 inboxes
Can readinbox, price sheet
Can draftreplies, tasks
Neversend, delete, pay
Approvesowner, by text
Kill switch1 toggle, demoed
Cost cap$40 / month

Agent spec: inbox triage

The one-page contract for every agent: trigger, access, approvals, limits, KPI.

The lead-reply flow

Inquiry in, facts checked, owner approves, reply and booking link out.

Run log · todaylive
07:02Sorted 14 emails
07:03Drafted 3 replies
07:03Quote request > owner
09:41Skipped: own reply (loop)
12:15Spend today $0.84 / cap $2

Run log

What it did, when and why, readable by a non-technical owner.

60-day scorecardKPI
BaselineTargetDay 60
9h 14m<15myours
Confirmed by your team, not by me.

Measured result

Baseline, target and the 60-day number, confirmed by your team.

See it run

Inspect the workflow before you buy it.

Pick an outcome. Red is where it leaks today, amber is where a person decides, lime runs on its own.

Bottleneck

Lead-to-booking

New inquiries wait in an inbox while the owner is on a job.

Lead arrives
Inbox waits
Owner replies late
Follow-up forgotten
Improved workflow
Lead capturedActive
Details checkedActive
Owner approves replyHuman approval
Reply + booking linkComplete
Example output

A personalized reply, qualification note, booking link and follow-up task.

Primary KPIMedian lead response time
How it runs

The process, start to finish.

Days 1-2

Scope lock

Written scope: exactly what is built, what it touches, what it never touches, and who approves what.

Days 3-10

Build

On the tools you already pay for where possible. Approvals, fallbacks and logs built in, not bolted on.

Days 11-14

Test + hand off

Edge cases tested, your team trained, kill switch demoed, cost caps set, runbook delivered.

Days 15-74

Measure

One KPI against your baseline, with check-ins at day 30 and day 60. Then it runs, or we change it.

Who it's for

Is this you?

  • Owners drowning in inbox and admin work
  • Service businesses losing leads at night and on weekends
  • Teams re-typing the same information between systems
  • Anyone who tried a no-code automation and watched it break silently
Proof

What it looks like when it works.

Food & beverage
~74%time and resource savings

A bakery

Cash-flow optimization

Marketing services
~59%time and resource savings

A social media agency

Customer-service assistant

Childcare
~48%time and resource savings

A kindergarten

Childcare operations automation

Software
~27%time and resource savings

An AI startup

AI generation features in the product

Earlier client engagements, 20+ projects to date. Names withheld; figures are the time and resource savings reported for each project. Your audit sets your own baseline.

Questions

Straight answers.

Is this a chatbot?

No. A chatbot answers questions. An agent works toward a goal inside permissions: reads a message, checks your approved facts, drafts a reply, routes it to you. Often the least complex version is a simple workflow, and I will tell you when that is enough.

Can it send emails on its own?

Only what you approve in writing. The default is: drafts are automatic, anything sent to a customer or vendor waits for a person, until a rule is tight enough to trust.

What if it breaks?

It fails safe. Every build has fallbacks, alerts and a kill switch, plus a runbook so your team or another developer can operate it. I stay through the 60-day measurement and longer under the Virtual AI CIO.

What does it cost to run?

Usually tens of dollars a month in AI usage, capped. You see the cost cap in the scope before anything is built.

Who owns it?

You do. Accounts, code, prompts, documentation and data are yours from day one.

Have a job that should run itself? Bring it to the free audit.

One hour on your operation. A one-page map in 48 hours. Yours to keep.

Book your free AI audit