AI infrastructure

AI infrastructure connected to your business tools.

We organise the data, connections, permissions and operating conditions that allow your automations and AI agents to work on your processes. Model selection accompanies this framework rather than replacing it.

See what we install
Scope

a defined process and access permissions

Pilot

tests on authorised cases

Measurement

a result compared with the baseline

Connected toGoogle DriveSheetsDatabaseMaken8nOdooSlackNotionDocs

The short answer

What is business AI infrastructure?

AI infrastructure brings together data sources, tool connections, models, access rights, hosting and operational monitoring. It also defines approvals, error handling and responsibilities. Its purpose is to make a use case workable in everyday business.

The problem

Points of friction · AI infrastructure

  • 01The same customers or files exist in several tools with different data.
  • 02The required access permissions and integrations are undocumented.
  • 03The prototype does not account for incidents, costs or maintenance.
  • 04Nobody knows who checks changes after launch.

What it costs

AI infrastructure connected to your business tools.

Live

A request arrives. See what happens next.

Illustrative scenario: approvals and exceptions still need to be defined with your team.

SlackSlack#direction
YYOUPrepare the morning update with the files that need checking.
YYour operations agentI’ll take care of it now.
Send a message

Meanwhile, in your tools

Google Drive

Make data useful and verifiable

Make

Check connections to your tools

Slack

Define permissions and controls

Database

Plan operations and handover

Scope · a defined process and access permissions

What we install

The complete infrastructure for your workflow.

Each step is built, connected to your tools and tested on your real cases before launch.

We identify reference sources, duplicates, required fields and read permissions. The documents used must be accessible only to authorised people and systems.

Connected toGoogle DriveSheetsDatabase

APIs, connectors and integration options are tested. When a tool imposes a limit, we define a manual step or a different architecture before committing to development.

Connected toMaken8nOdoo

Access is limited to the selected process. We identify what can run independently, what remains a draft and what needs approval, with a procedure for incidents.

Connected toSlackNotionDocs

Hosting is chosen according to constraints, costs and maintenance capacity. The project defines documentation, logging, alerts, backups and maintenance responsibilities.

Connected toDatabaseGoogle DriveAirtable

Pilot monitoring

What to monitor during the pilot

Scope

a defined process and access permissions

what the system can do and what still needs approval

Pilot

tests on authorised cases

routine cases, exceptions, duplicates and denied access

Measurement

a result compared with the baseline

processing time, checks, corrections and operating cost

Orders of magnitude observed on typical deployment scenarios, given to situate the extent of the change. These are not measured customer results: yours are quantified during the audit, on your data.

Your safeguards

What stays under your control.

Giving a system access affects your data and processes. These are our default safeguards.

You stay in control

We start with approval for every action. Only what you explicitly authorise, case by case, runs on its own.

Your accounts stay yours

Accounts, domains and hosting remain in your name. You can disconnect whenever you choose.

Approvals before sensitive actions

Sensitive actions use drafts and approval queues instead of direct writes.

Questions

The questions we are asked

Do we need an AI agent already?

No. The first step is to understand the process and the state of the data. A simple integration may be enough; an agent is added when interpretation or contextual search delivers measurable value.

Cloud, hybrid or local: which should you choose?

The choice depends on the data, access, expected performance and ability to maintain the system. Local hosting can reduce some external data transfers; it does not by itself guarantee the project's security or compliance.

Can we keep our business software?

That is the aim where its access options allow it. We check integrations and constraints before defining the scope. A connection cannot be guaranteed from a software product's name alone.

What evidence should we request before launch?

A flow diagram, a permissions list, tests on representative cases, error checks and a recovery procedure. Acceptance criteria must match the selected process, not just a successful demonstration.

How are costs and maintenance monitored?

The scope specifies third-party services, their usage, hosting and agreed interventions. Monitoring compares costs and incidents with measured results; a significant process change requires fresh approval.

What do we receive at the end of the project?

Deliverables and access to be handed over are defined in the agreed scope: architecture, documentation, configurations and procedures. Software licences and third-party services retain their own terms.

We look at your case before promising anything.

A call to understand what is costing you the most today, and to tell you frankly if we are the right person to talk to.