AI & automation
Automate what slows your team down — not the judgement.
Useful automation targets tasks that are repetitive, documented and verifiable. It replaces neither your team nor the decisions that commit your brand: it gives them back time and removes unnecessary delays between steps.
Direct answer
What can be automated without degrading quality?
Frequent tasks, described by stable, verifiable rules, where a mistake stays recoverable: re-entering data between tools, consolidating reporting, assigning and following up leads, first drafts of text. Anything involving judgement — a commercial commitment, a sensitive reply, a budget trade-off — keeps an explicit human validation step.
LimitWe never present headcount reduction as an objective of the engagement, and no model decides alone on a contractual commitment.
The problem
Tools everywhere, flows nowhere.
Companies pile up tools without connecting the steps: a lead entered three times, a follow-up forgotten, a report rebuilt by hand every month. The cost stays invisible because it is spread across several people.
Conversely, automating an unclear process only speeds up the disorder. Mapping always comes before tooling.
Approach
Eight steps, from the real flow to adoption.
- 01
Flow mapping
Describe what actually happens — not what the theoretical process states — from inbound request to customer follow-up.
- 02
Case selection
Keep tasks that are frequent, repetitive, rule-stable and low-risk if they fail.
- 03
Data quality
An automation propagates quality as much as defects. Reference data is cleaned before any connection is made.
- 04
Prototype
A limited flow, put into service on a narrow scope, evaluated on real cases.
- 05
Human in the loop
Validation before any external send or committing decision, alert thresholds, the ability to interrupt.
- 06
Governance
Authorised uses, data forbidden as input, traceability, a named owner per flow.
- 07
Adoption
Short documentation, user training, a support period.
- 08
Measurement
Time actually freed up, errors avoided, shorter delays — checked after going live.
Working template: it structures the information already stated on this page. It is neither a result nor a promise.
Governance
A flow with no named owner is not an automation. It is a delayed failure.
An automated flow breaks when a tool changes, a rule evolves, or a field disappears. The question is not if, but when.
We therefore define at the scoping stage the data allowed as input, the data excluded from external services, the traceability expected, and the owner of each flow.
- Validated before going live
- Sensitive trade-offs are confirmed with your managers.
- Maintenance
- The split between your teams and us is written into the proposal.
Common cases
Flows worth examining first.
Lead handling
Centralisation, assisted qualification, assignment and follow-up under explicit rules.
Assisted production
First drafts of text or variations, always reviewed and approved.
Reporting
Automatic consolidation of sources and distribution of views at the right pace.
Internal summaries
Meeting notes and exchange summaries, checked before distribution.
Controls
Detection of spend, tracking or form anomalies, with alerting.
Cross-tool tasks
Removing re-entries between CRM, site, ad tools and billing.
Limits we hold to
What we do not promise.
- No headcount reduction presented as an objective of the engagement.
- No content generation published without human review.
- No model deciding alone on a commercial or contractual commitment.
- No gain announced before it has been measured on your own scope.
Read next
Related pages in English.
- Data analysis
Reference data quality conditions any automation.
- Growth experimentation
The same discipline of measurement and stopping rules applies to automated flows.
- Team training
So your team keeps the judgement the automation does not take over.
FAQ
Frequently asked questions
Which processes should be automated first?
Good candidates are repetitive, governed by stable rules and recoverable when an error occurs. Judgement-heavy processes should stay human unless a controlled use case is proven.
Do we need to change our tools?
We start from what exists: CRM, messaging, marketing tools and spreadsheets. A new tool is only introduced if a technical limit blocks the flow, since every addition creates its own maintenance load.
How do you handle security and personal data?
We define at scoping which data can circulate, which is excluded from external services, who accesses what, and how processing is traced. Sensitive trade-offs are validated with your managers before going live.
How long before a first result?
A pilot scope needs to be defined on a targeted flow; scaling it depends on data quality, access, exceptions and team adoption.
Who handles maintenance?
An automated flow breaks when a tool or a rule changes. The maintenance split between your teams and us is defined in the proposal, with a named owner per flow.
What role do our teams keep?
Judgement, validation and the client relationship stay human. Automation can reduce repetitive handling; time saved and error rate must be measured before scaling.
Next step
Let's look at your flows before talking about tools.
A scoping call identifies where time is lost and what is better left with your team.