Automate the work your team repeats every day.
Your experts teach it by doing real work. Their know-how becomes a workflow that runs reliably across your tools, for a fraction of what an agent costs.
Made with ❤️ in Germany and San Francisco
every action approved while learningknown steps run as code, no AI needed
all-agentssalesforce · 09:14
SOP updated → v6
new rule: high-value accounts
app.all-agents.io
all-agentsOverview
Processes
Runs
Inbox2
Settings
Processes/Customer onboardingLearningOperationalrun #7
Trigger · Contract signed · Acme GmbH
Worked for 38 seconds
Created the workspace in the customer portal
Updated 12 of 14 CRM fields, chasing the billing contact
Drafted the kickoff email from the enterprise template
Approval: kickoff email to Acme GmbHwaiting on you
To
ops@acme.io · CC none
Plan
Enterprise · €32,400 / yr
Looks good. One thing: for accounts above €25k, CC finance before anything goes out.
Written into the SOP. New rule recorded: high-value accounts.v6
Standard Operating Procedurev5
1. Pull the signed contract from Salesforce
2. Create the workspace in the portal
3. Draft kickoff email from the enterprise template
4. Owner approves the email
5. Update CRM fields · post to #cs
6. Accounts above €25k: CC finance+ new
Ready to operationalize?you decide
Accepted runs4 / ~5
Branches seen2 / 3
corrections become rules · exceptions become branches
the operationalized workflow · v9
code
trigger
trigger
code
CRM entry
CRM entry
agent
human
code
email outbound
email outbound
Runs · today
#1281Contract signed · Nordwind AG1.2s · $0.05
#1282Contract signed · Faro Labs1.1s · $0.05
#1283Contract signed · Helio GmbHwaiting on finance lead
#1284Contract signed · Acme GmbH1.3s · $0.05
Process shape
11 steps run as code
1 step stays with the AI
1 approval stays human
Cost per run
$0.42$0.05
typical run 1.2s
identical behavior on every run · fully logged and replayable
An agent while you teach it.
Reliable automation once it understands.
Watch one process move through the four phases of its life.
Fix proposed: the invoice form changedreview
Trigger
gmail · invoice.csv
AI step
Read & match
ledger · hubspot
AI step
Unclear match?
agent judgment
AI step
Approval
always: finance lead
AI step
Post & notify
slack · books
AI step
The agent does real work while your expert watches. Every risky action waits for approval, and every correction becomes a rule.
run #4 · supervised
Put your company’s processes on autopilot in 3 easy steps.
Enterprise-grade automation in minutes instead of days.
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.
Careful with Meridian. They always pay from a different entity name. Match on IBAN first, then name.
SOP · Invoice reconciliationv8 → v9
## matching rules
2.1 match payment → invoice by amount + reference
2.2 fuzzy-match payer name (umlauts, abbreviations)
+ 2.3 Meridian Group: match on IBAN before name
source: correction by process owner · run #23
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 processcode 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.
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.
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
logged-in browser useAPIMCP
From “only Anna knows how” to a process the company owns.
Customer onboarding went from 90 minutes of coordination to one approval.
Six accepted runs were enough to operationalize. Eleven steps became code, one judgment call stayed with the AI and one approval stayed human.
“I stopped being the onboarding bottleneck. I approve the one email that matters, and the SOP finally exists outside my head.”
Anna · Process owner · measured over a 6-week pilot
processCustomer onboarding
triggerContract signed · 80 runs / month
learning6 accepted runs · 3 branches
shape11 steps code · 1 AI · 1 approval
human time90 min → 4 min per run
exceptions6% · routed to the owner
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. That is the gap.
Built to become an operation, not another AI pilot.
Talk to us about security →runs in isolationaccess limited to the process ownertamper-proof audit trailversion historystaging & productionhuman approval policysafe retriesSSO & RBAC · planneddata residency · planned
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 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.