Felesh CRM
An agentic CRM where your team and its AI agents work as peers.
Every inbound lead gets a qualified, personalized response in under five minutes, 24/7 — and nothing your customers were promised is ever forgotten.
The problem isn't your team. It's the gaps between them.
Leads go cold
A lead that waits an hour for a reply is mostly gone. Coverage drops to zero after hours and on weekends.
Promises get forgotten
Something said on a call rarely survives to the follow-up. Commitments fall through the cracks between people and tools.
The record drifts
The CRM becomes a graveyard of stale fields nobody trusts — because keeping it current is manual work nobody wants.
How it works
Capture → qualify → route → follow through
- Inbound from web, social, and messaging lands in one pipeline — captured, de-duplicated, and qualified automatically.
- Each opportunity moves through your pipeline stages, with the agent drafting the next touch and surfacing what changed.
- Operators invoke AI operations — research, outreach, summarisation — and review the result before anything goes out.
- The Team pod keeps humans and agents on the same accounts, with a shared, current record.
Four commitments, not four features
A system of reasoning
It doesn’t just store the deal — it reasons about the next best action and takes it, so the pipeline moves whether or not someone is watching.
Autonomy on the dial
Every agent starts in suggest-mode. You promote it to act on its own only where it has earned trust — and you can dial it back any time.
Receipts on every action
Each message, update, and decision carries a glass-box record of what the agent did and the reasoning behind it. You can always see why.
Operators and agents, one pipeline
Your team and its agents work the same accounts on the same substrate — a Team pod, not a person supervising a black box.
Trust
You hire an AI employee — and coach it.
Agents don't arrive fully autonomous. They start by suggesting; you review and correct; and as their judgement proves out on the record, you grant them room to act. Suggest-mode, auto-with-review, and full autonomy are positions on a dial you hold — backed by receipts the whole way.
Built on the platform
It runs where your data already lives.
Felesh CRM inherits the platform's sovereignty: isolated per organization, deployable on your own infrastructure, observable and auditable by default.
What's available today
v1 is operator-side and suggest-mode-first: your team runs the pipeline with agents drafting and assisting under review. Fuller automation, self-serve onboarding, and a marketplace of capabilities are the direction we're building toward — not things we'll pretend are here yet.