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Platform / AgentsDWG ML-AGT-01 · REV CManaged Agent Operations

Custom AI agents, built for work.

When the task arrives, your agent gets to work. It gathers context from your systems, follows the rules of the job, chooses the right tools, takes the actions you've authorized, and carries the process through to completion. No prompting. No checking. No new software to learn. Just finished work, with every action on the record.

Start free trial Automate your first task

No obligationNo setup feeCancel anytime

Price
$249/mo per workload · $199 at three or more
Trial
14 days of real work getting done before you pay anything
Your part
Describe the task you're outsourcing to the agent
Our part
Build, hosting, monitoring, fixes and changes as you grow
ML-AGT console3 workloads loaded
agent inbound-leads-01 · run 041221:04:42 ET
  1. 21:04:12intake.parseweb form: "pricing for 12 seats"OK
  2. 21:04:14crm.lookupexisting contact, no open dealOK
  3. 21:04:15site.activity/pricing visited 2x this weekOK
  4. 21:04:19calendar.read3 open slots, Tue and WedOK
  5. 21:04:31draft.replyowner voice, 94 wordsOK
  6. 21:04:33gate.checkafter-hours send: allowed (L1)PASS
  7. 21:04:41email.sendreply sent, 3 times offeredSENT
  8. 21:04:42crm.updatestatus: contacted, note addedOK
Workload inbound lead handling30s · 8 steps
MACHINE-LIKERUN 0412-7C
WORKLOAD
inbound lead handling
INPUT
web form, 12 seats, 21:04 ET
CHECKED
CRM · site activity · calendar
GATE
after-hours send, allowed (L1)
ACTION
reply sent 21:04:41 ET
WAITING
nothing
FILED
Founder-led teams that handed off the work7 of many
fitDEGREELakeEspresso AICustomer Science GroupCourseCareersAlarm New EnglandQC Capital
01Automate your first set of tasksInput: your week

Your tasks, handled.

You don't need to know what an AI agent should do. You know what ate last Sunday. Pick it, and get an agent that takes it off your plate.

Show me jobs for
Work order ML-0001 · draftJ-01
SalesWorkload

Inbound lead handling

Every lead answered, enriched, routed, and followed up until it books.

Trigger
Form fill, email, or DM
Output
Booked meeting, logged in CRM
You approve
Pricing questions and VIP leads
Example

A pricing request lands at 9 p.m. The agent replies in your voice within minutes, offers three open times, and logs the lead before anyone is back at a desk.

Works inside
HubSpotGmailGoogle CalendarSlack
Typical run
  1. lead.received web form, 12 seatsOK
  2. enrich 12 staff, Austin, fits ICPOK
  3. reply.sent 3 times offeredOK
  4. meeting.booked Thu 2:00 p.m.OK
  5. crm.logged HubSpot deal createdOK
Price
$249 /mo
Time back
5 to 10 hrs/wk*
Build
On us
Start a trial with this job

Examples, not a menu. If the work repeats and you can describe what done looks like, we can scope it. *Typical estimate per workload.

02Evidence, not claimsOutput: finished work

Our machines bring receipts.

Every run files a receipt: what came in, which of your records it read, what it did, and what is waiting on you. Usually nothing.

MACHINE-LIKE · RECEIPTRUN 0412-7C
TIME
Tue 21:04:12 ET
WORKLOAD
inbound lead handling
TASK
reply to pricing request
INPUT
web form: Dana R., Alder & Finch, "pricing for 12 seats"
CHECKED
CRM: existing record, no open deal · site: /pricing 2x this week · calendar: 3 open slots
DRAFTED
reply in owner voice, 94 words, 3 proposed times
GATE
send outside business hours: allowed (Level 1, granted Sep 14)
ACTION
sent 21:04:41 ET · CRM status set to contacted, note added
WAITING
nothing
FILED
  1. 1
    Input

    What came in, exactly as it arrived.

  2. 2
    Checked

    Which of your records it read. If it's wrong, you can see where.

  3. 3
    Gate

    The permission you granted, and when. Nothing outside it happens.

  4. 4
    Action

    What it did in your systems, timestamped.

  5. 5
    Waiting

    What's on you. Most days, nothing.

Illustrative runs · names and figures changedEvery receipt lives in your Terminal
03How it works3 steps · proof before payment

Hands-off is an understatement.

No configuration, no prompt writing, no training your team on a new tool. You describe the job. We do the rest. Then you judge the result.

  1. Step 01

    Describe the task.

    Create an account in 2 minutes, no card. Then describe how that work gets done today, the tools you use, the rules to follow, and what done looks like.

    You · about 15-20 minutes

  2. Step 02

    We build it. It goes live.

    Connect your systems through access you control and can revoke. We engineer, test, and launch the agent in your environment.

    Us · build cost on us

  3. Step 03

    Evaluate 14 days of on-the-job work.

    The clock starts when your agent goes live. You can then keep your agent on the job or walk away with no obligation.

    You decide · 14 days

On you 4 items

  • Describe the task and desired end-state
  • Provide system access to your agent
  • A few examples of the work done well
  • One point of contact who can make approval calls

On us Everything else

  • Design, build, and testing before go-live
  • Hosting and monitoring on every run
  • Fixes when something breaks
  • Changes when your business does
04Inside every agent5 controls · 1 receipt

Trained on your business.

Generic AI answers from the internet's average: fluent, confident, and wrong about your business often enough to matter. A Machine-like agent works from your systems, inside limits you set.

Generic AI

Answers from what the internet says on average. You check everything, because you can't see what it relied on.

web averagetraining dataa good guess

Your agent

Reads your records before it acts, and the receipt lists exactly which ones. If it's wrong, you can see where. If it's right, you can stop checking.

your CRMyour docsyour calendaryour rules
Context01
Rules02
Permissions03
Tools04
Act + receiptDone
01 · Context

It reads before it acts.

The customer's history, the open invoice, the last three emails, the doc that answers the question. It works from your records, not from memory.

02 · Rules

Your policies, enforced.

Discount limits. Who gets a reply and who gets escalated. What never goes out without a signature. It follows them. It doesn't interpret them generously.

03 · Permissions

Scoped to the job.

It can touch what its job requires and nothing else. A sales agent can't read payroll. A support agent can't refund past the line you set.

04 · Tools

Your stack, as is.

CRM, inbox, calendar, help desk, billing. No migration and no new system of record. A spreadsheet and a shared inbox is a fine place to start.

05 · Adaptation

It stays correct.

Prices move, policies change, an integration ships a breaking change. We retune the agent so it keeps doing the job right. Nobody on your team maintains it.

05The mathEstimate · your numbers

$249 a month, vs. the value of human time.

A typical workload replaces 5 to 10 hours of manual work a week, or $1,500 to $3,000 a month of paid time. Set your own numbers.

Jobs to hand off1workload

Three or more drops every workload to $199. Six or more is a custom quote.

7hrs
$50/hr
Readout · monthlyLive estimate
Estimated monthly difference
$1,267per month
By hand$1,516
Machine-like$249
Hours back
30 / mo
Your rate
$249 ea.
First 14 days
$0

Estimates. Hours per month equal hours per week × 4.33. Your scoping call sets the real scope.

Start free trial
06ProofField record · matched to the job

Work our agents already run.

Each story is matched to the workload it proves. Read exactly what the agents do, and what stayed with people.

Support triage and resolution

Tier 1 tickets handled end to end, inside the stack they already had.

82%of Tier 1 support tickets automated
68%reduction in average first-response time
54%decrease in ticket backlog

"Machine-like gave us a more responsive support operation without forcing a massive migration. The agents worked across our systems and kept me in the loop when something needed my attention."

Nick Hale · CEO and Co-Founder, fitDEGREE
Read the fitDEGREE story
Performance marketing co.Reporting and analytics

Reports that build themselves. People keep the decision.

Always-on data QA, pre-scoped requests, and recurring readouts prepared by agents. Decision Scientists own design, interpretation, and the final call.

"Our talent is too valuable to spend on manual, repeating tasks. Machine-like agents handle the recurring analytical machinery."AJ · Manager, Lifecycle Marketing Analytics
Read the story
CourseCareersGEO and content

Found in AI search, and enrolling from it.

Site optimization and generative engine work tied to enrollment and AI-referred traffic growth.

"What stands out is Machine-like's technical approach to automation. They've got this down to a science and have been a rock-solid partner."Troy Buckholdt · CEO, CourseCareers
Read the story
"We looked at a few vendors, including building the agents ourselves. Every option required technical resources that we couldn't spare. I needed these tasks done, and the team at Machine-like just handled it."
Espresso AIMarthe Naudts
Head of Growth, Espresso AI
07AlternativesOne workload, side by side

Market alternatives.

You've got options. It's a hire, a VA, an agency, or a couple weeks lost to building it yourself. Here is one workload, compared.

One workload of work, roughly 5 to 10 hours a week, compared across five options
FactorMachine-likePart-time hireOffshore VAAgency or freelancerDIY automation tool
Monthly cost$199 to $249per workload$1,500 to $3,000plus payroll costs$700 to $1,500plus your management$1,500 to $4,000retainer$50 to $300plus your hours
Setup on youOne 30-minute callHiring, onboarding, trainingTraining and written proceduresBriefs, reviews, revisionsYou design and build it
When it breaksWe fix itYou manage itYou manage itThey fix it, on their scheduleYou fix it
Pay before proofNo. Free until it worksYesYesUsuallyYes
Nights and weekendsAlways onNoPartialNoUntil it breaks
If they leaveNothing walks out the doorKnowledge leaves with themStart overStart overOnly you know how it works

US cost estimates for roughly 5 to 10 hours of work a week.

See full pricing
08Questions9 answers

What owners ask first.

Still unsure what to hand off? Bring the job to a scoping call. If it isn't a fit, we'll tell you.

Book a scoping call
Q01What is a managed AI agent?

A managed AI agent is software that completes a recurring business job on its own, inside your existing tools, while a provider builds, runs, monitors, and fixes it for you. With Machine-like, you never configure or maintain the agent. You review its finished work and the receipt for each run.

Q02How much does an AI agent cost with Machine-like?

$249 a month per workload, dropping to $199 per workload at three or more. Six or more is a custom quote. There are no setup, integration, or platform fees, and you pay nothing until your agent has finished 14 days of live work.

Q03What do I have to do?

One 30-minute scoping call, access to the tools involved, a few examples of the work done well, and one person who can make approval calls when needed. You don't build, configure, or maintain anything.

Q04When does the 14-day trial start?

When your agent goes live on real work, not when you sign up. Account, scoping, build, and trial cost nothing. If the trial doesn't deliver, you walk away owing nothing.

Q05What happens when the agent isn't sure?

It doesn't guess. Anything outside your rules goes to an exception queue or to a person, with the context attached. You decide which actions need your approval before they happen.

Q06Will it work with the tools we already use?

Yes. HubSpot, Salesforce, Gmail, Slack, Google Calendar, Notion, Stripe, Intercom, Airtable, and the usual suspects. Deeper API work and legacy systems get scoped on the call. No rip and replace.

Q07How is my data handled?

Your systems stay where they are. Agents reach them through access you control and can revoke anytime. Runs are encrypted in transit and at rest with full audit logging, and your data never trains models. You own your data and every output.

Q08What happens when my business changes?

If it's the same job with new rules, fields, templates, or report formats, it's a change, and it's included. If it's a different job that needs its own agent, it's a new workload, and we quote it before anything changes your bill.

Q09Who isn't a fit?

Businesses where recurring knowledge work doesn't cost much. If follow-up, routing, reporting, research, and intake are a minor expense, agents solve a problem you don't have.

One job · fourteen days · nothing owed if it doesn't deliver

Let's get back to the work of humans1

Frontier labs build models. We put them to work, so your team can get back to theirs.

Start free trial Or book a 30-minute scoping call