Custom AI Workflows
Custom AI Workflows for ClickUp and Your Systems
AI is most useful on the judgment steps: triage, drafting, extraction and checking. We build workflows where rules start the work, an agent does the thinking, people approve what matters, and everything is logged.
Where AI Earns Its Place
Workflows We Build
Each starts from a task your team already does, with a measurable before and after.
Request Triage and Routing
Read incoming requests, tickets or form entries, classify them, set priority and route them to the right owner for approval.
Drafting With Review
Draft replies, status updates, summaries and reports from task and system data. A person reviews before anything is sent.
Extraction Into Fields
Pull structured data from emails, documents and attachments into ClickUp fields, with a check step for anything uncertain.
Checks and Reconciliation
Compare records across systems, flag mismatches and prepare the fix for approval, such as hours against invoices.
Summaries and Rollups
Turn long threads, meeting notes and task histories into concise summaries stored where the team works.
Answers From Your Own Data
Let people ask questions of their workspace and documents, with answers that point back to the source records.
Control by Design
AI With Guardrails
Trust comes from knowing what the agent can do, what it did and who approved it.
- Rules and schedules trigger the work, so predictable steps stay deterministic
- The agent handles only the judgment steps, on the model and provider you choose
- Approval checkpoints where a mistake would matter, and automatic actions where it would not
- Permissions that limit which systems and fields the agent can read and write
- A full audit trail of what was proposed, approved and changed
- Quality, time saved and cost measured, so you can keep what works and switch off what does not
- A portable design that survives a change of tool or model
How It Works
From Use Case to Production
We prove value on a small piece first, then expand.
Choose the Use Case
We pick a task with clear volume, a clear definition of good, and a person who owns the outcome.
Prototype on Real Examples
We run your real samples through a draft workflow and compare with what people do today.
Add Approvals and Logging
We add the checkpoints, permissions and audit trail, and decide what can run automatically.
Launch in a Pilot
We release to a small group, measure quality, time and cost, and tune.
Operate and Review
We monitor results, handle model and tool changes, and review what to extend or retire.
Related Guides
Keep Reading
AI Credits and Admin Tasks
Some ClickUp AI features use credits. Learn which ones, why routine admin like numbering and rollups should not, and how to keep AI for real work.
Read the Guide →GuideProcess Automation
Turn approvals, handoffs and service targets into configured ClickUp rules. See what automation can enforce, what it cannot, and how we build it.
Read the Guide →GuideAutomation Audit
Audit ClickUp automations for failures, overlaps and unused rules. See how limits work, how to read run history and how to rebuild what matters.
Read the Guide →FAQ
Common Questions
Not here? Ask us.
What is a custom AI workflow?
A defined sequence where rules trigger the work, an AI agent handles a judgment step such as drafting, triage or extraction, a person approves where it matters, and the result is written to your systems and logged.
Do you use ClickUp built-in AI or our own models?
Either. Built-in AI is a good fit for some jobs and a poor one for others. We assess your cases and connect the model and provider you choose, so you are not tied to one vendor.
Can the AI change our data without approval?
Only where you allow it. We design which actions are automatic, which need approval and which fields the AI may never touch, and every action is logged.
How do you know the AI is good enough?
We test it on your real examples against what people do today, and measure quality, time saved and cost before and after launch.
What will it cost to run?
Model usage depends on the provider and model you choose and on volume. We estimate it during scoping, build in limits and report on it, so there are no surprises.
Is our data used to train models?
That depends on the provider and plan you select. We help you choose settings and providers that match your privacy needs, and design workflows to send only the data a step needs.
What if we change tools or models later?
We build around your systems of record and keep the agent layer portable, so a change of model or tool does not mean starting again.
Start With One Workflow.
Tell us a task you want AI to help with. We will say whether it is a good fit and what a pilot would look like.