Automate the work your team repeats every day.
Every team member can build and run agents that automate work across every tool you use. It is as simple as asking ChatGPT a question.
Made with ❤️ in Germany and San Francisco
external messages approved while learningrepeatable steps run as code
all-agentshubspot · 09:07
SOP updated → v6
new rule: credentials use the secure form
app.all-agents.io
all-agentsOverview
Workflows
Runs
Inbox2
Settings
Workflows/Customer onboardingLearningOperationalizedrun #7
Trigger · Closed Won · Northstar Delivery ABC
Worked for 38 seconds
Read the HubSpot deal and signed contract
Created the Asana project and Google Drive brief
Found 3 missing onboarding details
Approval: request 3 missing detailswaiting on you
To
Northstar project lead
Missing
billing · depot contact · charger
One correction: technical credentials must go through our secure form, never by email.
Written into the SOP. New rule recorded: use the secure form.v6
Standard Operating Procedurev5
1. Start on "Closed Won" in HubSpot
2. Read the deal and signed contract
3. Check required onboarding fields
4. Create project, folder and brief
5. Draft missing-details request
6. Anna approves the customer message
6a. Credentials use the secure form+ new
7. Check contractor; Anna approves request
8. Wait for replies; flag scope conflicts
9. Schedule kickoff; update every system
Ready to operationalize?you decide
Accepted runs4 / ~5
Branches seen2 / 3
the operationalized workflow · v6
CRM deal marked
"Closed Won"
"Closed Won"
Read contract
for context
for context
Create project,
folder and brief
folder and brief
Approve customer
and partner requests
and partner requests
Schedule kickoff
and update systems
and update systems
Runs · this month
#0081Closed Won · Cedar Fleet XYZ1.2s · $0.05
#0082Closed Won · Metro Parcel ABC1.1s · $0.05
#0083Closed Won · Northstar Delivery ABCwaiting on Anna
#0084Closed Won · Westline Delivery XYZ1.3s · $0.05
Workflow shape
5 steps run as code
2 steps stay with the AI
2 approvals stay human
Cost per run
$0.42$0.05
typical run 1.2s
An agent while you teach it.
Reliable automation once it understands.
Watch one workflow move through the four phases of its life.
Deal closed
hubspot · Closed Won
AI step
Read contract
contract · context
AI step
Prepare project
asana · drive
AI step
Anna reviews
requests · scope
human gate
Kickoff ready
calendar · hubspot
AI step
Color keyAI stepCodeHuman gateFailure
The agent opens Northstar Delivery ABC's deal and contract while Anna watches. Customer and partner requests wait for her approval, and her secure-form correction becomes a rule.
From “only Anna knows how” to a workflow the company owns.
Customer onboarding went from 90 minutes of coordination to one approval.
Five accepted runs were enough to operationalize. Five repeatable steps became code, two interpretation steps stayed with the AI, and customer and contractor requests stayed with Anna.
“I stopped carrying every onboarding between eight systems. I review the requests and scope decisions that matter, and the process keeps moving.”
Anna · Customer Operations Lead · FleetCharge XYZ
workflowCustomer onboarding
triggerClosed Won · 6 to 10 runs / month
learning5 accepted runs · 1 rule discovered
shape5 steps code · 2 AI · 2 approvals
human time90 min → 5 min per run
exceptionscontract scope conflicts → escalated to Anna
The 20× company does not work 20× harder. It turns repeatable work into systems that run, learn and scale.
Everyone has access to AI now. Almost nobody runs their operations with it. Let's change this!
Built to become an operation, not another AI pilot.
Talk to us about security →runs in isolationaccess limited to the workflow ownertamper-proof audit trailversion historystaging & productionhuman approval policysafe retriesSSO & RBAC · planneddata residency · planned
Runs where your work already happens.
Triggered by an email, a ticket, a CRM event or a schedule. Reads and writes across your tools, including internal systems without an API.
works with
+ more
+ moreany internal system
MCPAPIbuilt-in browser use
Put your company’s processes on autopilot in three steps.
Taught on real work by the person who knows it best. A few supervised runs, then it takes over.
1
Your most valuable people are trapped inside repeatable processes.
Only they know how the work is really done. So every week, they do it again.
01
The know-how lives in heads, not systems.
The real rules and exceptions never made it into the manual.
02
Automation still needs a builder.
Someone has to translate the work into flowcharts, then maintain them forever.
03
Agent pilots stay pilots.
The demo works once. Production needs cost control, reliability and audit trails.
2
Start with the process your team dreads doing again.
If it repeats, crosses several tools and follows a pattern your team can recognize, it is a candidate.
Customer onboardingcontract signed
Collect data, create accounts, send the kickoff, update the CRM, chase missing fields.
Support triage & resolutionnew ticket
Classify the ticket, check policy, draft the reply, route the edge cases to a person.
Invoice reconciliationinvoice · month-end
Read the files, match the records, flag mismatches, request approval.
Lead enrichment & CRM cleanupnew lead
Research the company, fill gaps, remove duplicates, score, assign, draft the follow-up.
Recurring client reportingweekly · monthly
Pull the data, validate it, explain the changes, build the report, send it out.
Vendor & compliance reviewnew vendor · renewal
Gather evidence, check requirements, flag risk, route the sign-off.
3
Capture the know-how stuck in your experts’ heads.
The rules that make a process work rarely live in a manual. They live in how experienced people handle exceptions and remember what matters for each customer. Every correction your expert makes becomes a written rule in a readable SOP. The company keeps the knowledge, even when the expert moves on.
Your best people should teach the system, not spend their careers operating it.
One correction: technical credentials must go through our secure form, never by email.
SOP · Customer onboardingv5 → v6
## customer requests
5.1 ask only for missing onboarding details
5.2 send request to the customer project lead
+ 5.3 Technical credentials: secure form only, never email
source: correction by Anna · run #7
a correction becomes a rule, permanently
Use AI to learn the process.Use code to repeat it.
An always-on agent thinks through the same routine steps on every run, and you pay for that thinking every time. Here, AI runs only while the process is being learned. After that, known steps run as plain code and AI stays only where judgment adds value.
Always-on agentthinks through every run again
$0.42 / run
Operationalized workflowcode plus one small AI step
$0.05 / run
example numbers · we measure your real cost per run in the pilot
Stop paying AI to figure out the same procedure for the thousandth time.
Pay for outcomes, not attempts.
Pay by usage, pay by outcome, or bring your own AI account. We tailor it to your process in the discovery call.
Built for the work between rigid workflows and free-running agents.
all-agents
ours- Starts from
- Real examples of the work
- Who builds it
- The person who knows the process
- Repeated runs
- Same behavior on every run
- When reality changes
- Proposes a fix or relearns, with you in the loop
Workflow tools
- Starts from
- A fully mapped-out flowchart
- Who builds it
- A technical builder
- Repeated runs
- Cheap and consistent
- When reality changes
- Breaks and waits for repair
Always-on agents
- Starts from
- A prompt and tools
- Who builds it
- A developer or power user
- Repeated runs
- Variable cost and behavior
- When reality changes
- Thinks it through again, every time
Workflow tools
Always-on agents
all-agentsStarts from
A fully mapped-out flowchart
A prompt and tools
Real examples of the work
Who builds it
A technical builder
A developer or power user
The person who knows the process
Repeated runs
Cheap and consistent
Variable cost and behavior
Same behavior on every run
When reality changes
Breaks and waits for repair
Thinks it through again, every time
Proposes a fix or relearns, with you in the loop
If your process is already fully mapped out and well maintained, a classic workflow tool will serve you well. all-agents is for work that starts messy and should end up running on its own.
Common questions
What kinds of processes can all-agents automate?+
Recurring work that crosses several tools and follows a pattern your team can recognize. A simple way to think about it: “high-click” work. Lots of clicks across many tools, but not much real thinking. Think onboarding, support triage, reconciliation, lead enrichment, reporting and reviews.
How is this different from n8n, Zapier or Make?+
Those tools need a builder to spell out every step up front and maintain the flowchart forever. Here, the person who knows the work teaches it by doing real examples. The result still runs cheap and behaves the same every time.
How is all-agents different from ChatGPT Work, Claude Cowork or Artifacts?+
ChatGPT Work, Claude Cowork and Artifacts help one person get work done. all-agents runs a learned workflow in the cloud, independent of that person's computer. What it learns belongs to the organization: teammates can trace it, share it and export it to other tools. The workflow does not end up locked in one employee's head or chat history.
How is this different from a general AI agent?+
An always-on agent thinks through every run again, so cost and behavior vary each time. We use agents to learn the process and for genuine judgment calls. Everything repeatable becomes code that behaves the same on every run.
What becomes code and what stays AI?+
You decide, step by step, during the walk-through. Repeatable steps become code. Steps that truly need judgment stay with the AI. Sensitive actions always require human approval.
What happens when a tool or business rule changes?+
A small change produces a proposed fix for you to confirm. A big change sends the affected part back into supervised learning. Queued work waits and flows through the repaired version.
Which process should your team never do manually again?
Bring one recurring process and the person who knows its exceptions. In 30 minutes we will tell you honestly whether it is a fit.