The Agentic GTM Operating System

The version of this that fails looks like a dashboard of separate bots, each with its own chat window, each needing its own instructions. Owners try it for a week and go back to doing the work themselves, because managing four tools is more work than the work.

AgentCorp runs on a different model. You brief Alex, an executive assistant, the same way you'd message a capable hire: “chase the two unpaid invoices, get the March numbers ready, and draft the follow-up for yesterday's demo.” Alex splits that up and hands each piece to the right specialist: Riley takes the invoices and the numbers, Sam takes the demo follow-up, Taylor picks up anything campaign-shaped. Then Alex reports back to you in one thread.

The agents share memory and hand work to each other, so context survives the handoff. And the whole thing is built for non-technical teams: plain language in, connected to the tools you already run your business on, like Gmail, your calendar, and your CRM. Meet the full roster on the agents page.

Concrete beats abstract, so here is the shape of a typical first month, once the connections are made. Monday morning, Alex has already triaged the weekend inbox: two messages flagged for you, four replies sent, the rest filed.

Tuesday, you forward a lead and write “chase this.” Sam logs it, researches the company, and the follow-up sequence goes out. Wednesday, Riley flags an invoice that's two weeks overdue, and Alex sends the reminder. A refund would have waited. Thursday, you ask for “something for the product update” and Taylor drafts the announcement and builds the campaign. Friday, Alex hands you a summary: what moved, what's waiting on you, what's scheduled for next week.

Notice what you did all week: forwarded things, and made the judgment calls that were actually yours. That's the job after delegation, and it's measured in minutes a day.

Three line items, in practice. The first is the VA retainer: inbox triage, scheduling, follow-ups, data entry. This is the work an AI workforce absorbs most completely, because it's high-volume, rule-shaped, and lives inside connected software.

The second is the first ops hire, the person a founder brings on when the pipeline, the books, and the inbox each need daily attention but none of them justifies a full-time specialist. An AI workforce covers that spread of part-time functions without asking one human to be mediocre at four jobs.

The third is a slice of the agency retainer: the recurring production work, like campaign drafts, follow-up sequences, and reporting. Strategy and brand judgment stay human; the monthly production grind doesn't have to.

See how this plays out by industry on the use cases page.

AgentCorp's published price is $250 per seat per month for the full live team, and every new workspace gets $50 of free usage when you add a payment method, valid during the 7-day trial, so the evaluation costs you nothing but an afternoon. The terms are on the pricing page.

Now the benchmarks. The U.S. Bureau of Labor Statistics puts the median wage for secretaries and administrative assistants at $47,460 a year as of May 2024, about $3,955 a month in salary alone, before benefits, payroll taxes, recruiting, and the months of ramp. Managed virtual assistant services publish 2026 rates from roughly $400 a month for small hour buckets up to $2,000 to $3,000 a month for a dedicated full-time offshore assistant, with U.S.-based dedicated VAs listed higher still; Wing's advertised flat plans start near $999, and MyOutDesk's 2026 pricing guide maps the dedicated band. Single-function agency retainers usually start in the thousands.

The honest comparison isn't price alone. It's price against coverage: one subscription that works nights and weekends across four functions, versus one person's working hours in one lane. And there is a cost line the spreadsheets skip: your management attention. A first hire consumes it for months; a team that acts, and writes it down, consumes minutes.

Sources: first-hire salary is the BLS median for secretaries and administrative assistants (May 2024); VA ranges are published 2026 rates from managed providers including Wing and MyOutDesk. Rates vary by region and scope. AgentCorp's figure is our published price.

Delegation without limits is how horror stories happen, so the limits matter more than the demo. On AgentCorp the agents act. Payments, deleting your AgentCorp data, and bulk email to more than 50 recipients wait for your approval, and you can put email and posts back behind an approval whenever you want the approval step. Sends that do go out still pass automatic guards nobody can switch off.

Behind that gate sits an activity log: every step an agent takes is recorded, reviewable, and attributable. Your workspace's data stays isolated to your organization and never trains shared models. The full security posture is on the trust page.

An honest vendor tells you where the edges are, so here are ours. An AI workforce can't take a phone call or sit in a negotiation. It won't make the judgment call on a delicate client situation; it will draft the options and wait for you. It works inside connected tools, so a process that lives in a filing cabinet or someone's head has to be written down before an agent can run it. And in its first weeks it needs context from you, the same way any new hire does, just measured in days instead of quarters.

If most of your delegable work is relationship-heavy, phone-first, or offline, a great human assistant is still the right call. The volume work underneath that person is what the agents are for.

Whichever product you evaluate, including ours, hold it to this list:

• One point of contact. If you have to brief each agent separately, you've bought a management job, not a workforce.
• Hard limits, not a rubber stamp. Payments and deleting the product's own records should wait for a person. Sends should pass automatic guards. You should be able to require approval when you want it.
• An activity log. You should be able to see every step an agent took, after the fact, without asking anyone.
• Published, flat pricing. A monthly allowance you can see beats a meter you discover on the invoice. A good one refreshes in full each period, and the vendor says plainly whether it rolls over. Ours does not.
• Data isolation in writing. Your business data should stay in your workspace and out of shared model training.
• Works inside your tools. Email, calendar, CRM. If it can't act where the work lives, it's a chatbot with extra steps.

We apply this same list to ourselves in the head-to-head with Sintra and across the wider alternatives roundup, with sources and access dates on every claim.

The practical path: connect your email and calendar, hand Alex one real recurring task this week, like inbox triage each morning or the Friday pipeline summary, and judge the output against what you'd have produced yourself. Widen the brief as trust builds. The getting-started guide walks through setup from zero.