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Services

Four services. You may take only one.

60 days from the diagnostic to the first AI agent live: 10 days to put a figure on it, 40 to build, 10 per team for adoption, 2 to 4 weeks for the foundation. Each has its own deliverables and stands on its own. Advisory does not oblige you to roll out, and rolling out does not oblige you to adopt.

Executives and leadership teamsAchetable seule

AI strategy & advisory

Where to invest, and in what order.

What we do

  • Reading your processes
  • Mapping the opportunities
  • Prioritizing on value, effort and risk

Livrable

A prioritized roadmap, with its assumptions written down.

Business leaders and IT

Design & rollout

From the priority to the thing that runs.

What we do

  • A prototype tested against reality
  • Development and integration
  • Go-live, scope by scope

Livrable

A solution live, documented and maintainable.

Team leads and transformation owners

Adoption & change

So that the teams actually use it.

What we do

  • Training on your real cases
  • Change management
  • Measuring usage

Livrable

An adoption plan and the indicators that track it.

Executives and IT who want more than one AI agentAchetable seule

AI agent foundation

So that the second AI agent costs a fraction of the first.

What we do

  • Company memory
  • Reusable connectors
  • Teams that stand on their own

Livrable

A company memory, documented connectors and a dashboard.

What we do not do

The limits of each offer, written before signature.

AI strategy & advisory

  • No line of code is written during this engagement
  • No committed figure for return on investment without measuring first
  • No recommendation of a tool we would be reselling

Design & rollout

  • No outsourcing of your tools
  • No application rebuild dressed up as an AI project
  • No go-live without your IT team's agreement on security

Adoption & change

  • No certified training body, no off-the-shelf catalogue
  • No change management without a real solution to adopt
  • No individual assessment of employees

AI agent foundation

  • No new tool to buy: the foundation leans on the ones you already pay for
  • No migration of your data onto a platform that would belong to us
  • No foundation without a first real AI agent: you do not build a motorway without a car

Before, after

What actually changes.

No technology in this table. Only what your teams live through today, and what they live through once the AI agents are at work.

  • By hand

    Spreadsheet, email, copy and paste. A bid takes three days, and sometimes goes out incomplete.

    Prepared

    The file arrives already assembled. Your teams review, correct and sign. Nothing leaves without them.

  • Expensive

    More volume means more people to hire. Growth costs you margin.

    Sustainable

    A rise in activity passes through without straining the company. Your teams handle more files, not more hours.

  • Scattered

    Everyone has their own files and their own shortcuts. The method lives in people's heads, and it leaves with them.

    Kept

    The rules are written once and applied to every file. The know-how stays when someone leaves.

Inside your tools, not alongside them.

The right answer is often a feature you already pay for and have never switched on. The environments we come across:

Supernature is not a reseller, partner or affiliate of any of these vendors, and takes no commission.

Microsoft 365ExcelSharePointOutlookTeamsGoogle WorkspaceSlackSalesforce
Microsoft 365ExcelSharePointOutlookTeamsGoogle WorkspaceSlackSalesforce
Microsoft 365ExcelSharePointOutlookTeamsGoogle WorkspaceSlackSalesforce
Microsoft 365ExcelSharePointOutlookTeamsGoogle WorkspaceSlackSalesforce
HubSpotZendeskSAPSageCegidOdooPower BINotion
HubSpotZendeskSAPSageCegidOdooPower BINotion
HubSpotZendeskSAPSageCegidOdooPower BINotion
HubSpotZendeskSAPSageCegidOdooPower BINotion

Agencies build. Consultancies recommend.

We do both, and then we leave. Every line of this table can be checked against our service pages.

What we see most often

  • A consultancy hands over a recommendation, then stops
  • An agency builds the AI agent, but not the data collection that feeds it
  • The AI agent runs on a command line, nobody knows how to launch it
  • The prototype impresses, nobody puts it into service
  • The solution holds as long as the provider is there

What we do

  • We frame it, then we go all the way to go-live
  • We deliver the collection, the AI agent, the screen and the monitoring
  • Your teams run it from a tool they already open
  • We measure the times before writing a line of code
  • We hand over the code and the documentation, so anyone can take over

What you keep

Every service ends with a folder.

Diagnostic, costed sheets, roadmap, source code, documentation. Editable formats, picked up by your own teams or by the provider of your choice.

Contact

A problem first. The tool after.

Describe a situation that costs you time. We will tell you honestly whether AI is the right answer.

Tell us about your project