Cases

Real results, not promises

Some of the projects where automation and AI are freeing up time and helping companies grow without growing headcount.

Cases anonymized for confidentiality.

Case 01Financial services for individuals

AI sales training

A financial services company for individual customers needed to improve how it trained its sales team to lift new-customer acquisition results — without burning managers' time on roleplays or exposing real customer conversations.

The challenge

Training the sales team on objections and closing was slow, depended on colleagues' availability for roleplay and didn't cover the full range of real-world situations; practising with real customers put deals at risk.

How we solved it

We rolled out Dialog, a voice-AI training environment where every rep practises the conversations and objections that give them the most trouble — as many times as they need — with instant feedback and a verdict with an action plan, without exposing a single real customer relationship.

Value model —conservative estimate for a 25-person team— with a return within roughly one quarter; figures calculated on each client's reality.

What changes

  • Unlimited, on-demand practice
  • Objective phase-by-phase evaluation
  • Performance dashboard
  • No dependency on trainer schedules
5.0/5 overall team satisfaction
4.86/5 sparring realism
4.43/5 usefulness (“intuitive and easy to use”)
Onboarding ramp shortened from 3+ months, without depending on a trainer
“It impressed me the first time I experienced it — the precision of the conversation.”
— CEO of the client company
Case 02Advisory firm

AI agent for a 360º client view

A tax, labour and accounting advisory firm needed a 360º view of every client in record time to walk into meetings with all the information at hand — without expanding headcount.

The challenge

Preparing every meeting meant digging through scattered information for each client (tax, labour and accounting): a slow, people-dependent process — growing meant hiring.

How we solved it

We deployed an AI assistant that gathers and synthesises a 360º view of every client in seconds, with traceability back to the original sources — giving the team the information ready for the meeting, without adding headcount.

Figures estimated from real client data, prudent assumption. Anonymized case.

Measured impact

~500 queries/month
with ~10 min net saved per query
~83 h freed/month
half a person's workday every month
~€30,000 /year
qualified time reinvested (~€2,500/month)
~5 months payback
on initial investment

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