Agent Hub

12 agents.
Configured in 1 place.

You change an agent once, and every workflow and every rep picks it up on the next run.

1 hub, not 12 prompt boxes

Agent behavior is configuration on the agent, not settings inside whichever workflow calls it.

What lives in the hub

What it asks

The instruction is a plain text field, open to read and change.

What a run costs

Set on the agent, not at launch: Low 0.5, Medium 1 or High 1.5 credits on a research agent, priced before it runs.

Who it applies to

Verticals and persona cards decide which accounts and people an agent applies to.

Side panel

Every agent type, grouped by the job it does

A qualification agent asks 1 pass or fail question about an account. The 2 icons under Details are its effort and its speed.

Agent editor

Cost is set on the agent, not at launch

Open any row to edit the agent. Effort is picked once and fixes every future run at 0.5, 1 or 1.5 credits.

Signals

Prioritize the accounts whose signals came back positive

Reps open a list that already ranks itself. The score is the percentage of an account's researched signals that came back positive, so the accounts with the most reasons to call are at the top.

Templates

Add new opens a library, not an empty box

On account plan and play agents, templates come named for the segment they serve. Tick several and create them in 1 pass.

With Eva

Eva writes agents from the guide your team would use

She checks what you already run before writing anything, and there is no confirmation step. What she creates is an ordinary agent in the same editor, yours to change.

ARIS configured their own agents and reps run them

ARIS writes its own agents and keeps rewriting them. Their team built Research Signal Agents for niche cases like on-prem versus SaaS buyers, then fed learnings back in to refine accuracy as reps used them. That is what configuration in 1 place buys a RevOps team.

“The future of top sales performance is agentic. It's happening now and there's more to come!”

Sven Roeleven Sven Roeleven, SVP Solution Management, ARIS
Read the ARIS story
Custom signals
Built niche Research Signal Agents (e.g. on-prem vs SaaS buyers)
Cultural shift
Reps now experiment directly with AI agents independently
What your security team will ask
  • Never used to train models

    Your CRM data, research outputs and agent activity are never used to train or fine-tune models. Not by us, not by our providers.

  • Your workspace is isolated

    Each workspace is logically isolated, so your data is never accessible to another customer.

  • You control retention

    If you cancel, your data is returned or deleted, your choice. If you make no request, all personal data is permanently deleted within 30 calendar days.

The detail, the sub-processors and the DPA are on Security and trust.

Your material stays yours

Under the MSA, everything you upload and everything the agents produce from it is yours.

SOC 2Audited
ISO 27001Certified
GDPRCompliant

See the hub configured for your market

We will walk your RevOps team through a real agent.

Request a demo