AI workflow studio for operating teams
AI systems for
recurring work your
software doesn’t finish.
Dysun turns the emails, PDFs, and spreadsheet rows your team re-keys by hand into review-ready actions — inside the tools you already use, with a person approving every step.
Operating experience from field, partner, and service organizations — background, not client logos.
The deliverable, not the demo
Every Dysun system ends in an artifact your team actually uses. Here's what a Monday redeployment packet looks like for a staffing desk.
Redeployment Packet
Monday · 7:00 AM · prepared overnight
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4 contractors re-engaged and availableConfirmed by text overnight — added back to your bench
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2 matched to open ordersSubmittal drafts ready in your ATS — awaiting your send
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1 needs your callWants a higher rate than the open req — context linked for review
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Records updatedBench availability synced to your ATS · full log attached
Reviewed and sent in one sitting by your delivery lead.
An illustrative packet — shown so you can judge the work, not a claimed result.
- Decisions in one sitting. Your team reviews a packet, not a pile — minutes, not the morning.
- Every item is source-linked. Each line links back to the message, résumé, or record it came from.
- Nothing goes out without you. The system prepares; a person approves. Exceptions arrive flagged, with reasons.
The system
How it runs — and stays yours
A layer over the tools you already use. Never a migration.
Human review on every action · Runs in your accounts, not ours · NDA by default · Audit trail on everything
Where a first build fits
Recruiting → candidate shortlist with reasoning, outreach drafted
Bench & redeployment → ending assignments re-engaged and matched
Sales research → prioritized accounts and an outreach draft
Support triage → triage summary and recommended action
Invoices & AP → a morning packet, posted with one review
Insurance renewals → renewal summary with exceptions flagged
Works with the tools you already use
We build inside your existing stack — nothing to migrate.
The engagement
Start small. Expand only on results.
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01 — Day one
Map the workflow
A 20-minute call to learn the process, tools, pain points, and the success metric. You keep the map either way.
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02 — Week one
Build the system
A first useful version on a contained workflow — fixed quote, running on your real work, human review intact.
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03 — Week two
Expand — or stop
If it saves time, we extend to adjacent steps. If it doesn’t, we stop and say so. That’s the deal.
The questions worth asking
Where does our data live?
Inside your existing tools and accounts. Dysun connects with scoped access you grant and can revoke at any time. Your data isn’t used to train models, NDA comes before we see anything, and if you have a security questionnaire, we’ll complete it.
Do we have to change tools?
No. Systems are built around what you already run — Gmail or Outlook, your ATS or CRM, QuickBooks, Slack, spreadsheets, client portals. Results land back in your systems of record.
What happens when the AI gets something wrong?
Nothing posts without a person approving it. The system prepares work and flags exceptions with its reasoning; your team keeps final judgment. Every action is logged to an audit trail.
What does it cost?
First builds are fixed-scope, quoted before we start — you know the number up front. Expanding beyond the first workflow is a separate decision, made only after the first one earns it.
How fast does this move?
Twenty minutes to map the workflow. A first useful version typically within a week. An expand-or-stop decision based on results in week two.
Who actually does the work?
A senior builder leads your engagement end to end, from the scoping call through handoff, backed by our team. We bring operating experience from field, partner, and service organizations like Tesla, SunPower, and Generac. Every build is documented so your team — or any developer — can maintain it.