Teras AI · Lab · Autonomous Agents
Not another chatbot. Agentic loops that fetch, check, draft and update, then hand you the decision before anything leaves the building.
ACTIVE DEVELOPMENT · PRIVATE DEMOS OPEN
agents / this week
LIVE- Pulled 14 overdue invoices
- Checked history · Halden & Co
- Drafted 11 reminders, warm tone
- Brightline has a dispute openNEEDS YOU
- Stand-up notes → 6 owned tasks
WAITING ON YOU2
ReviewThe problem
Repeatable work still eats the week.
Triage,follow-ups,statusupdates,research,handoffs.GenericAIwritesthetext,butsomeonestillhastoruntheprocess.Weautomatetheprocessitself,andleavethejudgmentwithyou.
How it works
Set up once. Then it loops.
We set it up with you in three steps. After that, the agent runs the same loop on its own schedule, and you only see what actually needs you.
SETUP · ONCE, WITH YOU
01 — 03
- 01
Map
Pick one repeatable loop and mark who owns each step.
- 02
Connect
Wire the tools it needs, with the narrowest access that works.
- 03
Harness
Write the rules: what done means, what it never does, where it stops.
THE LOOP · EVERY CYCLE
04 — 06
04 RUN
It fetches, checks, and drafts on schedule. Every step is logged.
05 REVIEW
Anything irreversible waits for your approve, revise, or block.
06 REPORT
Results, flags, and a full trail. Then the loop runs again.
Inside the console
One loop, start to finish.
SETUP · MAPWe sit down with you and map one loop. Every step is marked: the agent owns it, or a human decides.
Same loop, different work
Invoices were one example. The pattern is the product.
Any repeatable digital loop with a clear definition of done is a candidate.
- Payment follow-ups
- Weekly status digest
- Lead brief + reply pack
- Meeting notes → owned tasks
- Support triage
- CRM hygiene
- Report assembly
- Ops sync checks
- Vendor onboarding
- Research digests
GUARDRAILS
Autonomous, not unsupervised.
Agents that act inside your real stack need rules as much as skills. These are built in from the first map, not added afterwards.
- 01
A human gate on anything irreversible
Emails to clients, payments, deletions. The agent prepares them; you release them.
- 02
A trail you can actually read
Every tool call, input and result is logged in plain language. No black box.
- 03
Least access, revocable
Each connection is scoped to what the job needs and can be switched off in one place.
- 04
Private when it has to be
Where data can't leave, the whole loop runs on local models on your own hardware.
Who it's for
Built for people who can decide.
Owners, founders and small teams buried in repeatable digital work, where one conversation can green-light a pilot.
- 01
Founders and owners
Take back the hours lost to follow-ups, status and admin loops.
- 02
Operators and team leads
Standardise a process once; let an agent run it with oversight.
- 03
Professional services
Intake, research digests and document flows, without losing review.
- 04
SMEs modernising ops
Practical automation without an enterprise AI programme.
Tell us the loop that eats your week.
We'll map it with you and say plainly what an agent can own and what stays human. No technical knowledge needed, no commitment.
Autonomous Agents is one of four in-house lab projects at Teras AI, alongside Inbox OS, Local AI and Memories. Lab work is how we prove depth before it goes into client deployments.