AI Solutions · Connected Assistants
When something has to happen, not just be known.
Governed AI is the category, and this is the option where it stops answering and starts acting — inside the service desk, the CRM, the finance system, the applications your business actually runs on. Reading from them, and writing back.
The boundary
We are Microsoft-centric about your environment and deliberately open about what we put to work inside it.
This is one of five ways an outcome gets delivered with governed AI. It assumes one of the first two already exists — you cannot responsibly connect a model to your finance system before deciding which model, under what terms, and with what access.
All five are governed AI. The option is chosen against the shape of the problem, never against a vendor relationship.
- 01Copilot
- 02Company AI
Accounts - 03Connected
Assistants - 04Workflow
Platforms - 05Tailored
Builds
The distinction that matters
Answering and acting are not the same job.
A capable model with no connections can tell someone what the renewal terms usually are. A connected assistant can tell them what this client’s renewal terms are, because it read the record — and then draft the renewal.
The quickest test. Can a person get what they need by asking, and then doing it themselves? That is option two. Does something have to happen inside a system you already run? That is this one.
What it is
The model given permission to work inside the systems where the work actually happens — the service desk, the CRM, the finance or ERP system, the line-of-business applications, the file stores.
When it is right
When the answer needs live data rather than a document, or when the useful outcome is an action: the ticket created, the record updated, the quote drafted from real numbers.
When it is not
When the underlying data is unreliable. An assistant acting on bad records does damage faster than a person does, and the fix is upstream.
Who sells what
The technology partner sells the integration build, then the managed operation of it.
Reading from systems, and writing back through an approval
The assistant reads from the service desk, the CRM and the finance system. Writing back passes through an approval step before anything changes.
- Reads fromYour systemsThe service desk, the CRM, the finance system
- ThenThe assistantReasons over what it was given
- BeforeA person approvesOn the actions that were decided in advance
- Only thenIt writes backThe record changes
Which actions need a person, and which do not, is decided before anything is built
Reading is one grant. Writing is another. Deciding which actions a person has to approve happens in discovery, not after the first wrong record.
The honest part
This is integration work, and integration work has an owner.
Built once, then run
The build is scoped once. Running it continues, because systems change, fields are renamed and credentials expire.
Built once
Scoped, built, tested
The expensive part, and it happens once
Run from then on
A field is renamed. A credential expires.
The benefit arrives every time the task runs
The second half is not an upsell. It is what keeps the first half working
Sold as an integration build, then a managed operation. When the connection breaks on a Friday afternoon, the question is who is fixing it.
It has a build cost
Every connection is scoped, built and tested. There is no version of this that is a setting somebody switches on, and a page that implied otherwise would be setting you up to be disappointed in month two.
What makes it worth the cost is that the expensive part happens once, and the benefit arrives every time the task runs afterward.
It needs somebody whose job it is
Systems change. An update ships, a field is renamed, a credential expires. When the connection breaks at 4pm on a Friday, the question is not whether it can be fixed — it is who is fixing it.
That is why this is sold as an integration build and then a managed operation. The second half is not an upsell. It is the half that keeps the first half working.
Before anything connects
The data question comes first, and it is not a formality.
The data questions, asked in order
Whether the data is reliable, what the assistant may reach, and what it may change. All three are settled before anything is built.
Asked before anything is built
- 01Is the data reliable?Stale or duplicated records get acted on confidently
- 02What may it reach?The narrowest access that does the job, set per system
- 03What may it change?Reading and writing are different grants
“Not yet” is a legitimate answer to any of them
Three of the seven governance checks, asked early because this is the option where the answers change the build rather than the paperwork.
Is the data reliable?
An assistant reading stale or duplicated records will act on them confidently. If the records are wrong, this option makes the problem faster rather than smaller.
What may it reach?
Permissions are set deliberately, per system, rather than inherited from whatever the integration account happens to have. The narrowest access that does the job.
What may it change?
Reading and writing are different grants. Which actions need a person to approve them, and which do not, is decided before anything is built.
These are three of the seven governance checks, asked early because this is the option where the answers change the build rather than the paperwork. Not yet is a legitimate answer to any of them.
Where we come in
Advice, then the work, then the handover.
Whichever of the five is chosen, the shape of the engagement is the same: one outcome, a baseline measured before anything is switched on, a named owner, and the result published. What changes is the scope and the price.
- 01
Decide whether it is actually your option
The assessment establishes what you already own and pay for, what your people are already using, and which single outcome is worth doing first — with the baseline taken and the owner named before anything is switched on. If the records underneath are not reliable, we say so here — connecting to data nobody trusts is the most expensive way to find out it was wrong.
- 02
Do the work
The data gets checked, the permissions get set per system, and the approvals get decided — what it may reach, and what it may change. Then the integration is built, tested and operated. Measured against the baseline, because an outcome nobody measured did not happen.
- 03
Hand it over
The result is published, and the documentation to run it without us is written during the work rather than promised for later. A provider who becomes indispensable has failed at the job.
If you are a technology partner
You own the client relationship, the contract and the invoice. We are the specialist capacity behind it — the method, the assessment, and the delivery depth you would otherwise have to hire. You decide whether we are named in front of your client, and whether we are in the room at all.
If you are a business
Where a technology partner supports you, we work through them. Where one does not, we work with you directly and say so plainly.
Where to start
The assessment establishes whether your systems are ready to be connected.
It looks at what you already own and pay for, how identity, devices and permissions are configured today — read-only, against your own tenant, what AI is already in use, and which single outcome is worth doing first. For this option it also looks at the data underneath — because connecting to records nobody trusts is the most expensive way to find out they were wrong.
Technology partners begin with the MSP Secure AI Practice Assessment. Businesses begin with the Secure AI Operations Assessment, offered through your technology partner where one is in place.