Keep what works.
Build around existing systems. Don’t replace them just to add automation.
Business automation. From your words.Your business.
Your business.
Working as one.
Describe the admin. Shape a workflow around your tools, your data and the decisions you keep.
Watch the example. Then explore your own process.Your words → your workflowIllustration
“Every Monday, we copy figures between files and chase the missing bits.”
Sales fileForecastTeam notes
01 · DATARead the figures
02 · PREPAREExplain changes
03 · HUMANManager reviews
04 · OUTCOMEReport + record
A checked report. Your Monday back.
Why these steps?
Read the approved files, compare like-for-like figures, draft the explanation, then hold for the manager. Missing data stops the handover.
Conveyor building blocks IngestCaptureFlows
Illustrative composition, not a connected integration.
“The update is in someone’s notes. The next team never gets the full picture.”
Team notesOpen tasksWork instructions
01 · DATAGather updates
02 · PREPAREFind open work
03 · HUMANManager reviews
04 · OUTCOMEHandover + record
The next team starts with the context.
Why these steps?
Match the notes to open work, prepare the next team’s brief and ask the manager to check it. No handover is released merely because AI drafted it.
Conveyor building blocks IngestCaptureFlows
Illustrative composition, not a connected integration.
“We check the same invoice against three places before accounts can use it.”
InvoicePurchase orderApproval rules
01 · DATARead the records
02 · PREPAREFlag differences
03 · HUMANAccounts reviews
04 · OUTCOMEAllocation + record
Accounts gets the checks, not the chasing.
Why these steps?
Extract the records, apply explicit matching and calculation rules, then show exceptions to accounts. AI does not decide tax treatment or post payments.
Conveyor building blocks IngestCaptureFlows
Illustrative composition, not a connected integration.
Watch a brief take shape →
Illustrative workflow · nothing connected or sent
Your tools. Connected work.Your rules. Human control.Your AI. Room to evolve.
01 / Connect, then reuseOne foundation.
One foundation.
More of your business.
Reporting today. Handovers tomorrow. The next workflow builds on what your business already knows.
Connect through approved files, APIs and integrations. Keep the tools that work.Shared within your workspace
Your data
Your rules
Your records
Weekly reportingShown above
Team handoversSame foundation
Invoice checksSame foundation
Conveyor supplies the reusable building blocks.
What makes a decision traceable?
Keep the evidence used, the decision made and who confirmed it together. The next workflow can use that context; a new model does not erase the record. Your workspace stays separate from other customers.
02 / Change the engine, not the businessAI moves on.
AI moves on.
Your work moves with it.
Use intelligence that fits the job. Adopt better models without rebuilding the rules around your work.
AI evolves. Your rules stay yours.Replaceable intelligence
Today’s model
A better-fit model
The next evaluated model
Your business stays in place.
Your dataYour rulesYour historyYour final say
Illustration, not a live model comparison.
More reuse. Less reinvention.
The aim is lower total cost—not another layer of tools to maintain.
Use AI where it helps.
Rules for routine steps. Suitable intelligence for the work that needs it.
Work, not headcount.
Pay for completed work. Not a licence for every employee.
What will it cost?
We scope the workflow, connections and expected volume with you, then agree costs before live use. Pricing is based on work, not team size. Ask us to compare your current process.
Will it work with our systems?
We check the required files, APIs, permissions and available connectors during discovery. An existing connection can be reused; a new one needs implementation and testing. Assembly does not claim to connect to every tool out of the box.
What can I try now?
The private studio helps turn your description into a proposed workflow and a rehearsal. A demo is not a live connection to your business. You review the design before we agree what to implement.
Simplifying complexity consistently.Bring the work.
Bring the work.
See what it could become.
Explain the work. Shape it together. Try a run.