Caddi vs. ClaudeUse both. Caddi finds the work for Claude, runs the high-volume jobs, and monitors both.
Caddi Discover finds the work worth automating. Each finding runs in Caddi or goes to Claude as a skill, whichever fits the job. Caddi Govern monitors every Caddi run and the skills it hands to Claude.
- 99%of agent runs complete successfully
- ~45 minon average to build your first agent
- 1M+back-office tasks completed
Jason AlafganiUpdated Sep 23, 2026
Nobody knows which work to hand Claude.
The usual rollout is someone from IT or innovation going team to team asking people to try Claude, then going back around months later with surveys to measure it. It's messy, and nobody trusts the numbers.
Helps whoever opens it, with whatever they think to ask. Great for analysis, drafting and long documents.
Caddi Discover reads the work across your systems and ranks the repetitive work by hours, with the evidence behind each finding.
A one-off memo and a thousand invoices are different jobs.
The first needs judgment in a person's day. The second needs the same input to take the same path every run, because seven steps at 90% each comes out clean less than half the time.
The right tool for individual, judgment-heavy, ad hoc work. Caddi can export a finding to Claude as a skill, so it shows up where people already work.
Caddi Automate runs the high-volume, high-accuracy work: fixed steps as code, the same way every run, with AI only where judgment is needed. 99% of agent runs complete.
Leadership can't see what AI is doing across the firm.
Work in Claude, in Copilot and in automations lives in different places, so nobody can say what is automated, where it runs, and what is still done by hand.
Does the work inside a person's session, one request at a time.
Caddi Govern monitors every Caddi run, and the skills Caddi hands to Claude report each decision and API call back to it, in one firm-wide view: what should be automated, what is, where, and what is still manual.
Frequently asked questions
What is the difference between Caddi and Claude?
Claude is a general AI assistant, strong at reasoning, analysis, long documents and code, and great for the individual, judgment-heavy work in a person's day. Caddi is the end-to-end AI operating system for wealth and law operations. Caddi Discover finds and ranks the repetitive work across your systems, with evidence. Caddi Automate runs the high-volume, high-accuracy work deterministically, so the same input takes the same path every run. Caddi Govern monitors every Caddi run, including the work Caddi hands to Claude. Most firms use both, and Caddi makes Claude more useful.
We already have Claude licenses, do we still need Caddi?
Caddi makes those licenses worth more. The usual rollout is someone from IT or innovation going team to team asking people to try Claude, then going back around months later with surveys to measure it. It's messy, and nobody trusts the numbers. Caddi Discover replaces the guesswork with a ranked list of the work worth automating across your systems, and Caddi Govern shows what is actually automated, where it runs, and what is still manual.
Can Caddi send work to Claude?
Yes. Each Discover finding can be automated in Caddi or exported to Claude as a Claude skill, whichever is the best tool for the job. Caddi is the right tool for high-volume, high-accuracy work that has to run the same way every time. Claude is the right tool for individual, judgment-heavy, ad hoc work, so those findings go where people already work.
Does Caddi monitor work that runs in Claude?
Yes, for the work Caddi hands it. When a Discover finding is exported, Claude gets it as a skill and Copilot as an agent, and that skill reports each decision and API call back to Govern, next to the runs in Caddi. It does not see a person's ad hoc chats or automations built in Claude or Copilot without Caddi.
Which costs less for high-volume work, Caddi or Claude?
For high-volume operational work, Caddi generally does. Claude bills per seat and consumes model tokens on each request, which is the right trade for analysis and drafting. Caddi's AI builds the automation, then production runs as deterministic code with AI only on the steps that need judgment, so the per-run cost stays low and predictable as volume grows.
Why run high-volume work in Caddi rather than Claude?
Because non-determinism compounds. A step that is right 90% of the time comes out clean only 48% of the time across seven steps, which is why even the best frontier models completed only about 30% of real professional tasks on their own in Carnegie Mellon's TheAgentCompany benchmark. Any model step can get something wrong, Caddi's included. Caddi runs the fixed steps as deterministic code, the same way every time, and keeps AI to the steps that need judgment, each one scoped, logged, and reviewable. That's what a queue of a thousand invoices needs, and it leaves Claude free for the work that needs a person's judgment.