Caddi vs. Akai by DeelAkai waits for people to report their work. Caddi reads it straight from your tools, so you find more of the repetitive, high-impact work, faster.
Akai's agents share one context and reason through every run. Caddi builds each process as its own agent, with AI only on judgment calls, so runs use fewer tokens and come out the same every time.
- 99%of agent runs complete successfully
- ~45 minon average to build your first agent
- 1M+back-office tasks completed
Jason AlafganiUpdated Oct 16, 2026
The repetitive work never becomes a ticket.
Nobody files a request to re-key an intake form, and people forget it on surveys. A map built from what gets reported misses most of the hours.
Maps your work from tickets, surveys and an AI assessment of what teams report.
Discover reads the work where it happens, in email, the CRM and spreadsheets, and ranks it by hours.
Shared context means one mistake travels.
When every agent reads and writes the same context, one wrong account number becomes everyone's input, and nobody can say which step went wrong.
A network of agents that share one context layer and hand work to each other.
Every process gets its own agent, with only the tools it needs and its own log. A held step stays in its own lane.
If you can't verify a run, you can't rely on it.
Ops leaders sign off on the result, not the demo. That takes runs that come out the same way and a record of every step.
Agents reason through each task over the shared context, priced per task by how hard it is.
Known steps run as code, the same way every time, with AI only where the work needs judgment. 99% of agent runs complete, every step on the record, at RIAs from $1B to $600B and at law firms.
Frequently asked questions
Is Caddi an alternative to Akai by Deel?
Yes. Both let the operations team automate its own work without an IT project, by showing a workflow or describing it, and changing it later in plain language. The difference is how the agents are built and how they run. Akai runs a network of agents that share one context layer and hand work to each other. Caddi runs independent agents that each own one process, run the fixed steps as verified code, and hand off through your system of record, so there is always one place to check what happened.
How is Caddi Discover different from Akai's AI Assessment?
Akai's AI Assessment builds a task map from ticketing and chat systems plus surveys of your team, and delivers a roadmap. That captures the work someone logged or remembered. Caddi Discover connects read-only to the tools your team works in and finds the repeated work itself, including work nobody had written down, then keeps running and feeds Govern, so leadership sees both what is automated today and what should be next.
Why not use a network of agents that share context?
Shared context is useful for reasoning, but it makes an audit harder. When agents hand work to each other and draw on a memory that keeps changing, it is hard to say which agent made a decision and what it knew at the time. Caddi keeps each agent to one process, with deterministic steps and scoped AI steps, and passes work between processes through the system of record your firm already trusts.
How do the two approaches connect to my systems?
Akai records the network traffic behind your clicks and builds connectors from it in seconds: a public API where one exists, an unofficial API reconstructed from the recorded calls where it does not, and the browser as a last resort. Its own documentation says a run stops if one of those calls changes. Caddi verifies each connection before a workflow runs on it, so the fixed steps take the same path on every run. Caddi also connects through the access your vendors provide and does not work around the agreements you have with them, while an unofficial API rebuilt from recorded traffic is worth checking against your vendor contracts first.
Who is each built for?
Akai is aimed at fintech and payments, logistics, tax and HR operations. Caddi is built for regulated professional services: RIAs from $1B to $600B in assets and law firms, where operations has to show an examiner or a client what happened on every account and every matter.
Is Akai ever the better choice?
Yes. Akai has run at scale inside Deel's own operations, holds ISO 42001, 27001 and 27701 certifications, lets you pick and fail over between model providers, and pairs you with a forward-deployed engineer. If you run high-volume fintech, payments, logistics or tax operations and want agents that share context across a large network, it is built for that. Caddi is the better fit when you want to find the work first, keep each agent independent and auditable, and work with a vendor that does not also sell one of your core systems.
Does Caddi compete with my HR, payroll or CRM vendor?
No. Caddi is the connection between your tools, not a replacement for any of them, so it has no reason to steer you away from your systems or your partners. Akai is a standalone product from Deel, which also sells payroll, HR and employer of record services.
How does pricing compare?
Both are usage-based. A Caddi plan includes a set monthly allowance at a published price, so usage is bounded by the plan you chose. Akai charges by spend: its own blog says each task is priced based on how hard it is, and it shows the cost of every run; it does not publish prices. The larger difference is tokens. Akai's agents reason with a model on every run and share context across the network, so runs carry more context and more model calls. Caddi's agents are deterministic: fixed steps run as code and AI is spent only on the judgment steps, so the same work uses far fewer tokens.
Can I try Caddi without a sales call?
Yes. The Individual plan is free and includes Discover and Automate. Govern, the firm-wide view, starts on the Team plan. Akai does not publish pricing and starts with a demo.