BARENI
Cases

What a pilot
delivers·

Three working systems, built and shipped end to end — plus the kinds of problems a first pilot takes on.

What we've built

An AI assistant trained on your own docs

Knowledge AssistantRAG · Document-groundedLLM Integration

A working assistant that turns a company's own material — support docs, policies, product info, returns, onboarding — into instant, accurate answers for customers and staff. Built end to end as a demo of what a first pilot can ship.

What it does

Answers from your own content, not the open web — so replies match how your business actually works.

How it's built

Grounded in your documents: answers stay tied to your material instead of generic guesses.

As a pilot

Scoped to one measurable outcome — like deflecting repetitive tier-1 questions — and tuned on your real questions.

Case study — live demo included
0:00 / 0:00

AP automation with a governed AI agent

AI Solution ArchitectureForward Deployed EngineeringGoverned Agent · Human-only Approvals

A manufacturer asked: “Invoice entry is too slow — can AI fix it?” Instead of a slide deck, we embedded with their AP team, followed a single invoice through the entire process, and found the real problem: cash leakage and approvals nobody could prove. Three weeks later, a working system was live — value proven in euros: €473k a year, with a ~3-month payback. Built end to end as a case-study demo: the numbers come from the worked business case it walks through, not a claimed client engagement.

What it does

An ontology-based agent where the LLM reads messy invoices but never decides where money goes — extraction is AI, money movement is not.

How it's governed

Approvals stay human-only, and every action — including blocked ones — lands on the audit trail, so finance can prove what happened.

The outcome

Value proven in euros: €473k a year with a ~3-month payback. Watch the full case study — live demo included.

An AI Sales Lead Solution

Atlas Partner

Full-stack AI ProductLead Discovery · ICP AnalysisPipeline & Meeting Booking

A working platform that turns your company's website into a steady flow of qualified prospects — discovered, organized in a pipeline, and booked into meetings. Built end to end as a demo of what a first pilot can ship.

What it does

Finds and manages clients the way your business actually works — discovers best-fit prospects, captures inbound leads, and books meetings, all from one workspace instead of a stack of disconnected tools.

How it's built

Grounded in your own ideal-customer profile: it analyzes your site to learn who to target, so every search and suggestion stays tied to your real customers instead of generic lists.

As a pilot

Scoped to one measurable outcome — like booking more qualified calls — and tuned on your real prospects and inbound, from first touch to a Google Meet on the calendar.

Pilot territory

The problems a first pilot tackles.

These aren't client claims — they're the recurring problem shapes we build pilots for, each scoped to one measurable number before any work starts.

01 / caseExample
Customer support
Deflect repetitive tickets
Example pilot

A first pilot might target tier-1 support: an agent that drafts replies to the repetitive questions, so the team only handles what truly needs a human. Scoped to one number — deflection rate — before any work starts.

02 / caseExample
Finance & ops
Cut the manual busywork
Example pilot

Recurring document, email, and data-entry work is where AI quietly saves hours. A pilot automates one such workflow end-to-end and measures the hours returned each week.

03 / caseExample
Knowledge work
An internal copilot
Example pilot

An assistant that answers from your own docs and data, so the team stops digging through wikis and threads. A pilot ships a working version against one team's real questions.

Get started

Could the next
case be yours?

Tell us what you're working on. We'll be honest about whether we can help.