Stage 01 · Assessment
We understand where you are
Before proposing anything, we look at how your organization works today.
- processes
- tools
- information
- teams
- opportunities
- risks
Deliverable
An opportunity map and implementation priorities.
Flowdots Enterprise
Your business on autopilot.Your team, amplified.
Put AI to work in your company. For real. We take you from “we want to use AI” to concrete processes, a trained team and tools that are part of how your company actually works.
A first conversation to understand where your company stands and what would make sense to implement.
Assessment · Training · Implementation · Ongoing support
AI isn't the problem
The problem isn't having access to AI. It's knowing how to bring it into the work.
Plenty of companies already have ChatGPT, Claude, Copilot or other tools.
That doesn't mean they're using them well.
Everyone uses it differently
Different prompts, tools and criteria for similar tasks.
Information is a mess
Duplicate documents, folders nobody can navigate and knowledge scattered across tools.
Processes live in someone's head
If knowledge isn't written down, an agent can't use it well either.
Tools get tried, impact doesn't get measured
Lots of enthusiasm. Few KPIs.
People are afraid of getting it wrong
Sensitive data, permissions, privacy, wrong answers and no agreed rules of use.
After the training, everything goes back to normal
People learn a tool, but the organization doesn't change how it works.
That's why we don't start with the agent. We start by understanding how your company works.
Book a conversationThe method
From “we want to use AI” to a real capability inside your company.
Six stages. We work alongside your team to find opportunities, lay the groundwork, pick the right tools and get real use cases into production.
- Stage 02 · Foundation
We lay the groundwork
Before asking an agent to work with your company, it has to be able to find and understand what it needs.
- SOPs
- repositories
- document structure
- context
- permissions
- usage policies
DeliverableA foundation ready to work with AI.
- Stage 03 · Training
Your team learns by doing
No theory for its own sake: we work with the processes and tools your team uses every day.
- professional use of AI
- agents and context
- skills and connectors
- MCP and automation
- security
- evaluating results
DeliverablePeople who can work with AI, not just ask it questions.
- Stage 04 · Implementation
We build real solutions
Depending on the case, we build with your team:
- skills
- agents
- connectors
- automations and workflows
- scheduled tasks
- integrations
DeliverableUse cases running inside the organization.
- Stage 05 · Measurement
AI has to move something
Whenever possible, we define the indicators before implementing.
- time per task
- volume processed
- response time
- errors
- hours freed up
- team capacity
DeliverableMeasurable impact.
- Stage 06 · Transfer
Your company is ready to keep going
The goal is that you don't depend on us to use AI. Your team learns to:
- create new skills
- connect new tools
- design workflows
- evaluate agents
- onboard new people
- spot new opportunities
DeliverableIn-house capability.
What stays in place
We don't hand over a slide deck. We leave capability in place.
What your company keeps isn't a report: it's pieces people use every day.
Knowledge base
Organized information that people and agents can actually find.
SOPs
Documented processes, ready to be run, evaluated and improved.
Skills
Reusable capabilities for concrete tasks.
Connectors
Controlled access to the tools and sources your company needs.
Agents
Workflows that carry out tasks with different levels of autonomy.
Trained team
People who understand how to work properly with AI.
KPIs
Metrics that tell you whether the implementation is having an impact.
Governance
Rules for using AI responsibly and consistently.
Who it's for
This is for companies that already get that AI won't be just another tool.
It's for you if…
- people on your team already use AI;
- you want to move from experiments to processes;
- your team has 5 to 40+ people;
- you want to standardize how AI is used;
- you have internal information an agent should be able to use;
- you want to automate concrete processes;
- leadership is willing to get involved;
- you want to measure impact.
It's probably not for you if…
- you're not sure yet whether you want to use AI;
- you're only looking for a motivational talk;
- you want “a chatbot” without changing any process;
- you expect AI to fix organizational problems you're not willing to sort out;
- you want a fully automatic solution without involving your team.
Getting started
You can start small.
Three steps. Each one makes sense on its own, and none of them commits you to the next.
- Step 11–2 weeks
AI Assessment
FromUSD 500We understand where your company stands and what's worth implementing first.
- discovery
- demo with real cases
- information review
- opportunities and priorities
- business case
The assessment fee is credited if you move forward with implementation.
- Step 24–10 weeks
AI Kickstart
FromUSD 3,500The implementation program: training, groundwork and use cases in production.
- training
- organizing information
- skills and connectors
- use cases
- measurement
- knowledge transfer
Scope is defined by the number of users and areas involved.
- Step 3Optional
Skill Library
FromUSD 250/monthFor companies that want to keep evolving with us alongside.
- support
- skill evolution
- office hours
- follow-up
- new capabilities
Not required: your company already has its own capability.
Reference prices in US dollars. The final price depends on scope.
Book a conversationAcademy + Enterprise
Training and implementation, from the same team.
Academy prepares people. Enterprise changes how the organization works.
When both happen together, adoption stops depending on a one-off training.
- Flowdots Academylearn
- Flowdots Enterpriseimplement
- Skill Libraryevolve
In progressReal case
Takuara is building its AI working system.
Takuara is a marketing agency currently in the Enterprise program. Some pieces are already running; we're now working toward their KPIs.
takuara.com.arAlready running
- A connector between their management system (Xubio) and their AI tools, to query invoices, collections and payments in plain language.
- Time tracking inside Trello, on their own infrastructure: the baseline for measuring impact.
- A credentials vault with a usage manual, so access is organized and under control.
The numbers will show up here once we have them. Not before.
FAQ
What people usually ask us.
Do we have to use Claude?
No. We work with whichever tools best fit each company's context.
Do we need to have AI in place already?
No. We can start from the assessment and decide together what makes sense to bring in.
Do you work with our real data?
Yes, when appropriate and under whatever data processing agreements are needed.
What happens to our sensitive information?
Before touching real information, we agree on access conditions, permissions and how each piece of data is handled.
How long does an implementation take?
It depends on size and scope. A Kickstart usually takes between 4 and 10 weeks.
How many people can take part?
It depends on the program. We design the implementation around the number of users, teams and areas.
Do we have to keep paying afterwards?
No. The goal is for your company to have its own capability. Skill Library is optional, for companies that want to keep evolving with our support.
Can we hire training only?
Yes. That's what Flowdots Academy is for.
Can you build integrations or automations?
Yes. When an implementation needs it, we build software, automations, integrations and custom connectors.
Want to know where AI could make an impact in your company?
We start by understanding how you work today. Then we decide what's worth implementing.
First conversation · No commitment
Would you rather tell us first what you're trying to solve? Write to us directly.
Let's talk
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