01 / KEEP
It keeps the work.
Every AI work session is kept word for word — what was asked, what was answered, what data it rested on. Not summaries. The actual work.
Your team already uses AI every day — and every conversation starts from zero. The thinking is good; nothing is kept. Hari installs into the Claude or ChatGPT your team already uses and changes that from the first conversation.
The analysis one manager ran last quarter gets redone from scratch by another this quarter. Decisions get argued on revenue when the real question is profit. What the company learned the hard way in March is nowhere in the room in September. Knowledge, judgment, and history are unevenly distributed in every company — and generic AI does nothing to fix it, because it remembers nothing about yours.
Every AI work session is kept word for word — what was asked, what was answered, what data it rested on. Not summaries. The actual work.
Every conversation runs on your company's decision discipline: confirm the problem is real before designing the fix; decide on profit, not vanity metrics; say plainly what's unknown. Your best operator's habits, in every seat.
Kept sessions become a living company memory: what was tried, what worked, what failed, and why. The next related question starts from your company's actual experience — with names and dates, not folklore.
Answers ride your certified sources. A pasted spreadsheet can never impersonate your finance system, and "the data doesn't show that" is an answer Hari is built to give.
Foundation models improve for every company at the same time. That is not a durable advantage; it is the new baseline.
Your method, your history, your outcomes compound into an asset no competitor can download — and it doesn't transfer when someone leaves.
PROVEN The method isn't theory — it ran every day inside a real operating company before it became a product.
HONEST Nothing unvalidated is presented as validated. Unknown is a valid answer. Correlation is never dressed up as cause.
Every company runs on a different culture of openness, so Hari ships three permission models — and one line that never moves: personal information stays protected in all of them.
Everyone sees everything — real numbers, everyone's sessions — except personal information. For companies that run on open books.
Private conversations, open business data. Real numbers for whoever's doing the work; nobody reads anyone else's conversations. For most companies.
Information follows the org chart. Restricted roles still get the full analysis — as trends and verdicts instead of raw amounts. Never a wrong number, never a silent gap.
Hari works inside the AI your team already uses — Claude or ChatGPT. No new app, nothing to learn. We're onboarding a small number of beta companies now.