Compare

AI coworkers, against the alternatives

Four comparisons, each written to stay useful when we are not the answer. Every one names the cases where the other option is the better buy.

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THE ALTERNATIVESFour things you are choosing betweenAn agent platform your own team builds onA copilot rolled out to everybody, per seatMore people, through hiring or a BPOAn internal build by your own engineers
versus
AI COWORKERSWhere this one wins, and where it does notBuilt for one job and deployed in your own cloudOwns the work rather than assisting the person doing itLoses to each of the four somewhere, and says where

Most companies solving this are choosing between four things: an agent platform, a copilot rollout, more people, or an internal build. An AI coworker competes with all four, wins against different ones for different reasons, and loses to each of them somewhere.

THE FOUR ALTERNATIVES

What you are probably choosing between

VS AI AGENT PLATFORMS

vs AI agent platforms

A builder hosted in the vendor’s cloud, against something built for you and running in yours.

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IInternal ChatSlackGoogle ChatTelegramTeamsGmailOutlookZoomCCallsCCRMBBrowserEERP
VS COPILOTS

vs copilots

Answers for the person doing the work, against something that does the work and closes the loop.

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▣   New request
▣   Work completed
VS OUTSOURCING

vs outsourcing

Capacity that ramps for months and leaves with the person, against a process written into your systems.

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YouThe team rotated again. Who knows the exceptions now?AI coworkerThey are written down, not remembered.
VS BUILDING IN-HOUSE

vs building in-house

Complete control and a permanent owner, against the same architecture without the internal roadmap.

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Internal buildWho owns this in the second year?
EACH ONE, IN A LINE

Different alternatives fail on different questions.

None of these are bad products. They answer different questions from the one this answers.

Agent platforms
VENDOR CLOUD
Copilots
NEED A PROMPT
Coworkers
OWN A JOB
Outsourcing
RAMPS FOR MONTHS

Where we lose, in short

When a copilot is enough

The work is thinking rather than moving, and a person makes every call anyway

Honest answer
AI coworkerBuy seats. That is the right shape for that job.
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When people are the answer

Hands, phone calls, negotiation, or anything where the relationship is the work

AI coworker

Out of scope

No API, no route in
Staff it instead

When you should build it

Agents are your product, or your team has already shipped one that works

Your CTOThis is our core capability.
AI coworkerThen build it. Do not buy it.

Choosing between them

What teams ask when all four options are still on the table.

Four, in practice: an AI agent platform your team builds on, a copilot rolled out per seat, more people through hiring or a BPO, or an internal build by your own engineers. Each is genuinely the right answer for some situations, and each page here says which ones.

Against copilots when you want one tool for everybody and the work is thinking rather than moving. Against outsourcing when the job needs hands or judgement. Against an internal build when agents are your product or your team has already shipped one. Against an agent platform when your team wants to build and change things itself.

Not yet, because pricing is not published while we are working with design partners. What we can do on a call is compare against what the job costs you today, which is the comparison that actually decides these.

Most teams do. Copilots for everyone plus a coworker on the one job that never gets done is a common and sensible split. So is keeping a BPO on judgement work while a coworker takes the volume.

Pick one real workflow, exceptions included, and put every option against it. Ask each vendor where the software runs, who builds it, who maintains it, and what happens when it gets something wrong. Clean demos do not separate these products.

“A comparison page that only flatters its author tells the reader nothing they did not already assume.”
— Why each of these names where we lose
Evaluationone real workflow

Same job, four approaches, exceptions included.

clean demos separate nothing✓ Ask where the software runs

Put an AI coworker
inside your own cloud.

Bring the workflow you are evaluating. We will tell you honestly if we are the wrong answer.

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