org.tech / Approach / Compare Glass box. Six options · six questions

Nobody picks a private AI platform against nothing. They pick it against five other things they could reasonably do instead.

The comparison is never this or no spend.

Every organization weighing a governed AI capability is already doing one of six things. This section takes each of them seriously, says plainly when it is the better choice, and shows the small number of questions on which the answers genuinely differ.

Six things an organization actually does.

COMPARE · 01

A vendor comparison usually pretends the alternative is an empty room. It never is. By the time anyone books a call there is a default already running, a subscription already paid for, an internal build somebody has costed, or a proposal from a firm with a logo on it. The question is not whether to spend. It is which of these six paths puts a governed capability in front of your people, and what each asks of you in return.

Sometimes the right answer
Right under conditions
Right for nobody, for long
01 Often right

A SaaS AI assistant.

Bought per seat, running on the vendor's systems, live the afternoon you sign. The fastest path to ordinary productivity. The data path is the vendor's, described in their documentation rather than drawn on your architecture.

Per seatVendor holds the account
02 Often right

A bundled suite copilot.

Already installed, already invoiced, already approved by somebody. It reads what your people can already read, which is both the whole of its value and the whole of its risk.

Already paid forInherits your sharing settings
03 Conditional

Building it yourself.

Real control, and with the right people a legitimate answer. The cost is not the first demo. It is identity, policy enforcement, metering, isolation and release tooling, maintained against a market that moves every few months.

You own everythingIncluding the maintenance
04 Conditional

A consultancy programme.

Institutional trust, procurement familiarity, breadth, and a name your board recognises. What arrives at the end varies: sometimes a running system, sometimes recommendations and a plan to build one.

Breadth and trustBespoke by construction
05 Conditional

Self-hosting open models.

The strongest technical alternative, and the only one where the weights sit inside your perimeter. Provisioning, patching and inference optimization become a standing function you staff.

Weights insideA team to run it
06

Doing nothing.

The most common option, and the only one nobody writes a business case for. It is not zero AI. It is AI without an account, a policy, a record or an owner, running in browser tabs on personal subscriptions.

Free of chargeNot free of cost

The questions that decide it.

COMPARE · 02
Six, not twenty

Feature lists do not settle this. Six questions do.

Every option on this page can hold a conversation, summarise a document and draft an email. Comparing those capabilities is how a decision takes six months and lands nowhere. These are the questions where the answers diverge, and where changing your mind later is expensive.

  • 01
    Who holds the data at rest. Not who promises to look after it. Whose account is it sitting in when nobody is using it.
  • 02
    Can the data flow be scoped for a security review. Your reviewer needs a diagram, a boundary and a control narrative, not a trust page.
  • 03
    Who owns the account and the exit. If the relationship ends badly, what keeps running, and who has the credentials.
  • 04
    Time to a governed first use. Not time to a demo. Time until one real group of people use it under a policy somebody signed.
  • 05
    What it costs to run. Separate the fee from the compute, and ask who profits from the compute.
  • 06
    Who maintains it as models change. The catalogue moved twice while you were reading this page. Somebody has to keep up with it.
Our answers, shortREF-CMP-02
  • Data at restYour accountOne organization, one cloud account, billed to you directly
  • ScopingDrawn, not describedArchitecture, posture tiers, a 17-row controls matrix with its standing exceptions
  • ExitYou keep the platformThe monthly fee buys the service, not access
  • First governed useWeeksWe quote no fixed number of days
  • Running costYour cloud billRoughly $5 to $10 a month at Baseline, about $110 on the private-network tiers, inference excluded
  • MaintenanceOursPinned releases, a generated model catalogue, drift checks before changes
At a glance·The long form is the table below

Seven paths, six questions.

COMPARE · 03
Path Data at rest Scopeable for review Account and exit Time to governed use What it costs to run Who maintains it
orgOS on a cloud you own Your account Architecture and posture Yours, both Weeks. We quote no fixed number of days Your cloud bill, plus $500 a month Us, from pinned releases
A SaaS AI assistant Vendor systems Their documentation Vendor holds it Same day Per seat, per month The vendor
A bundled suite copilot Suite vendor systems Your sharing settings Bundled with the suite Already installed Per seat, above the suite The vendor
Building it yourself Your account Whatever you document Yours, both Quarters Staff time, plus the cloud bill Your platform team, indefinitely
A consultancy programme Depends what is built A report, then a build Depends on the contract Quarters Programme fees, then support Whoever is retained next
Self-hosting open models Your account, weights too Entirely yours to draw Yours, both Months, plus a new function Accelerators, running or reserved Your own inference team
Doing nothing Wherever a tab sent it Nothing to scope No account exists Ungoverned already Invisible, and carried anyway Nobody

The last two columns carry no verdict mark because they are descriptions, not judgments. Inference is billed to you by the cloud provider at list price.

Where the other paths win

Three columns in that table go to somebody else. Nothing beats an installed suite copilot on time to first use, nothing beats a self-hosted open model on keeping the weights inside your perimeter, and nothing beats a large firm on institutional familiarity. We win on the data boundary, on operator control, and on what you still hold if we part ways.

Read the one you are actually weighing.

COMPARE · 04

Each page below makes the fair case for the alternative first, including the conditions under which we would tell you to take it, and only then says where the difference lies. None of them names a company or a product. If a page reads as a hit piece, it has failed.

How to use this section

Read the page for the option you are closest to taking, not the one you like least. Then take the six questions into whichever meeting is next and ask them of us as hard as you ask them of anyone else. If the answers on this site do not survive that, the pages are wrong and we want to know. The posture questionnaire is published for the same reason: you should see the questions before the call, not during it.

Fair questions.

COMPARE · 05
01Can we run more than one of these at once?

Most organizations should. A bundled copilot for ordinary drafting and a governed deployment for anything sensitive is a sensible split, not a contradiction, and the two do not compete for the same work. What does not work is running both without deciding which content belongs where, because then the classification lives in each person's head.

02How long does it take to reach a governed first use?

Weeks. We quote no fixed number of days, because the pace is set by decisions you make rather than by us: the posture tier, the retention election, the first group of people to be put in front of it. The engagement path sets it out gate by gate, and the gates are the thing to hold us to.

03You are small. Is that not a bigger risk than any of these options?

It is a real risk and it has its own page. The mitigation is structural rather than reassuring: the deployment is in your account, you hold the credentials and the billing relationship, and infrastructure code and runbooks are deliverables. Read continuity before you decide.

04Do you have customer references we can call?

No named references and no measured outcomes. What exists instead is a live demo of the running product, a published controls matrix with its standing exceptions visible, and an assessment whose deliverable you keep whether or not you proceed.

The frame

The choice is not AI or no AI. It is unmanaged adoption or a governed capability.

Every path on this page is already being taken by somebody in your market. The one being taken silently, by your own people on their own accounts, is the one with no owner.

  • 01
    Ask the six questions everywhere. Including of us. They are the same six in every room.
  • 02
    Decide what must never leave your account. That decision picks the path faster than any feature list.
  • 03
    Keep the exit open. Whatever you choose, know what still runs on the day the relationship ends.
⎯⎯ Book the strategic assessment ⎯⎯

Your private AI, inside your control ·

A bounded engagement that maps your network topology and data flow, and tells you honestly which of these six paths fits. You keep the deliverable whether or not you proceed.