Every week your team runs dozens of demos and discovery calls. The recordings pile up. The insights stay locked inside them.
Reps forget to send follow-ups. CRM fields stay empty. Coaching happens too late — or not at all. The handoff between sales and success is a game of telephone.
It's not a people problem. It's an execution problem
— and it's costing you deals every single week.
Your rep hangs up. Within minutes, a crew of AI agents goes to work: product questions get answered proactively, deal risks and opportunities are bubbled up, objections are shared and forecasts created, and product feedback lands in Slack.
You don't manage the agents — you just tell them what your team cares about. They learn your product, your process, and your pipeline, then figure out the rest on their own.
One call in. Every next step handled.
A signal comes in. The agent reasons over your context. The work gets done.
A call ends, a deal stalls, or a topic shows up. The agent notices the signal immediately.
It checks your rules, account history, and playbook so the action matches your process.
Then it drafts, updates, routes, or escalates in the tools your team already uses.
No dashboard babysitting. No manual follow-up.
Workflow runs cover orchestration. AI compute credits cover model usage inside each run. You see the cost structure up front.
METER 1
Each time a custom agent executes, that's one run. Runs cover triggers, scheduling, CRM write-back, and routing.
METER 2
This is the actual LLM usage inside each agent run. Top up your balance before agents run, billed at cost plus a 10% platform fee.
Every user gets a one-time €5 AI compute allowance to get started. No top-up required on day one.
Add exactly the credits you need. No fixed packages, no minimums, and no discounts hiding the real cost.
Credits are deducted per run at published rates, so you can see the expected cost before you build or launch.