Solutions · Long-running agents

Works for weeks, not seconds.

Most AI forgets everything the moment a conversation ends. Long-running agents take on projects that last days or months — keeping track of progress, remembering every step, and picking up exactly where they left off.

For example

Month-end close: the agent collects figures from every subsidiary over several days, chases missing numbers, reconciles the differences, and hands your team a finished pack to approve.

What you get

  • Multi-step projects that run without constant supervision
  • A full record of what was done, and why
  • Checkpoints where people approve before it moves on

Inside an always-on agent

Four working layers.
One layer of control around them.

Governance — wraps everything the agent does

The agent
01

Remembers

Keeps context across days and weeks — your preferences, past decisions, where every task stands.

02

Learns

Turns each solved problem and every correction into a reusable skill, so it gets better on the job.

03

Works on schedule

Runs checks, reports, and follow-ups on its own timetable — no one has to ask.

04

Reaches you where you work

Email, Teams, Slack, WhatsApp — it brings you what matters in the tools you already use.

Governed by design

Enterprise-grade
from line one.

  • Only the access you grant

    Each agent gets its own permissions, tool by tool. Nothing borrowed from a person’s account.

  • Every action on the record

    What it read, what it decided, and why — in a log that can’t be edited.

  • People sign off on the big calls

    You set the thresholds: payments, customer messages, anything reportable waits for a named person.

  • Budgets and limits

    Caps on spend, volume, and speed, so a mistake can’t snowball overnight.

  • An off switch that works

    Pause one agent or all of them instantly, from one place.

  • Your data stays where you choose

    Run on your cloud, in your country, or on your own servers.

Agent on shift03:15
  1. Picked up 1,284 new invoices from the shared inbox

    Done
  2. Matched 1,281 invoices to purchase orders

    Done
  3. 3 didn’t match — queued for the finance team with evidence attached

    Needs a person
  4. Checked supplier prices — 2 changed overnight, both logged

    Done
  5. Learned “supplier onboarding” from yesterday’s correction

    New skill
  6. Found a break in the payments reconciliation — investigating

    Done

Illustrative activity — not a real client.