Skip to content
Laava
Back to case studies

Lighthouse implementation

OpenSource Energie: a fully agentic front office

A fully agentic front office for customer contact, support and follow-up. At OpenSource Energie, AI agents retrieve customer context, prepare replies and carry out agreed steps. Connected to existing systems, with the team in control.

OpenSource Energie2026
OpenSource Energie
1,750+

AI-assisted tickets / month

Distinct support tickets receiving AI preparation, based on a 30-day production sample. Includes cases that still need human action.

Measured

84%

AI coverage of new tickets

1,717 of 2,053 new tickets received AI preparation in the same sample. This measures coverage, not autonomous resolution.

Measured

~30 hours

Potential time savings / month (estimate)

Assumes 1 minute saved per assisted ticket after review and rework. Range: 15 to 45 hours/month at this volume. Actual time savings have not been measured.

Estimated

01

The challenge

02

The solution

Technology stack

Context and dataControlled actionsHuman controlOperations and evidence

03

The result

The fully agentic front office is already supporting the team in daily work. In support, AI prepares ticket context and replies that people can review and use. The case figures show the reach of that assistance; the potential time saving is an estimate.

The wider front office connects customer contact, support and follow-up through shared context and existing systems. People remain responsible for review, exceptions and decisions that need judgment.

As workflows expand, the same knowledge, connections and controls can be reused. Each next step builds on what the team already has in place.

Explore a similar workflow

An interactive, fictional example of an energy front office. It is an illustration, not the production workflow from this case.

Disputed energy bill

Make your business
work for you.

Get in touch