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Evaluating AI employee platforms
including this one.

The questions worth asking, the answers that should worry you, and how to design a pilot that actually proves something. We wrote it knowing you will point it at us.

12 minute read

First, work out what you are actually buying

Three quite different things are being sold under similar language, and the evaluation criteria for each are not the same. Deciding which one you need before you take the first call saves a quarter.

Assistants

Answer questions, draft text. A person carries the output somewhere else. Judge on answer quality and adoption. No governance burden because nothing acts.

Automation

Deterministic flows with a model in one step. Judge on reliability and maintenance cost. Breaks when the input varies, which in document work it always does.

AI employees

Own a piece of work end to end, hold context between tasks, act inside a granted boundary. Judge on governance, memory and evidence. Accuracy is table stakes.

If what you need is the first, most of this guide is overkill and you should buy on usability. It is written for the third, where a wrong choice is expensive to unwind because the thing has been given permissions.

Six criteria that decide the outcome

Governance

Are autonomy boundaries configured by you, in business terms, and enforced outside the model? Can you demote in one click? This is the criterion that kills deployments.

Memory

Does it retain anything between tasks, or does every conversation start from nothing? Retrieval over a document store is not memory of your organisation.

Integration depth

Read-only or read and write? Enforcing the source system's permissions per request, or holding one admin token? The second is a finding waiting to be written up.

Decision record

Produced automatically, readable by a non-engineer, and reconstructable months later, or an event log you would have to interpret during an incident?

Security posture

Where it runs, who the subprocessors are, what reaches a model provider, whether your data trains anything. Ask for the list, not the badge.

Failure behaviour

What happens when it does not know? Stops and asks, guesses confidently, or silently drops the item. Ask to see it fail in the demo.

Questions to put to every vendor

Phrased so that a vague answer is visible as a vague answer. If two vendors give you the same words, ask the follow-up in brackets.

“Show me where I set what it can do on its own.”

In the product, not in a slide. If it is a prompt field, the boundary is advice rather than a control.

“Pick a decision from last month and tell me why it happened.”

Live, in their own demo tenant. How long it takes them tells you what your audit will cost.

“Which certifications do you not hold?”

A straight list is a good sign. “We are SOC 2 ready” means nothing and should be treated as a no.

“Name every subprocessor and what reaches each one.”

If the answer needs a follow-up email, the list is not being maintained.

“What does it do with a document it has never seen before?”

Bring one. Scanned, slightly wrong, missing a field. That is what your inbox looks like.

“What happens to the memory if we leave?”

Exportable in a usable form, or a lock-in you are choosing to accept with your eyes open.

Commercial models, and what each one costs you later

Per seat

Predictable, but penalises exactly the outcome you want: the work being done by fewer people. Watch for viewer seats needed just to approve.

Per action

Aligns cost with value, and makes budgeting hard. Ask what counts as an action and whether a retry counts twice.

Per employee

Easy to reason about against a salary line. Check whether a second process means a second licence.

Platform fee

Usually hides the real number in implementation services. Ask for the total first-year figure including people.

In all four cases ask the same two questions: what does year two look like at three times the volume, and what is the cost of stopping. Our own answer is on the pricing page, including the parts that are not a fixed number yet.

Designing a pilot that proves something

Most pilots are designed to succeed, which is why so many of them end without a decision. A useful one is designed to be capable of failing on a criterion you agreed in advance.

One process

High volume, real documents, a clear owner, and a definition of correct that two people would agree on. Not three processes.

Real mess

Include the scanned ones, the exceptions, the supplier who emails a photo. A clean sample tells you nothing you need.

Baseline first

Measure today's time per item, error rate and exception rate for two weeks before anything is switched on. Without it there is no result.

Start supervised

Agreement rate under review is the metric that matters in weeks one to four. Autonomy is a decision you take on that evidence, not a pilot setting.

Written exit

The numbers that mean yes and the numbers that mean no, signed by the process owner and the vendor before day one.

Ninety days

Long enough for the exceptions to show up, short enough that the sponsor is still in the role when it ends.

Red flags

An accuracy percentage with no dataset, no definition of correct, and no failure mode attached.

“Fully autonomous” offered as a feature rather than as something you grant deliberately.

A claim that prompt injection has been solved. Nobody can know that.

A demo on synthetic documents, with reluctance to try yours in the room.

Integrations described as “on the roadmap” for the system your process actually depends on.

No named reference doing the same process at a comparable size, at any stage of the conversation.

Scorecard

Score each vendor out of five, weight what matters to you, and keep the notes.

The weighting is the part worth arguing about internally. In regulated work, governance and record are usually worth more than everything else combined, and they are the two most likely to be scored on a promise.

Governance

Boundaries in business terms, enforced outside the model

Memory

Retained between tasks, scoped, exportable

Integration

Write access, per-request permission enforcement

Record

Automatic, readable, reconstructable later

Security

Named subprocessors, region, training position

Failure

Stops and asks, on your own messy documents

Score us first: our security page starts with what we don't hold →

Bring the list. We'll answer it in order.

Including the questions we come out badly on. If we are the wrong fit for where you are, a short call is the cheapest way for both of us to find that out.

Book a demo→Read the governance guide