Caddi vs. Akai by Deel: Independent Agents vs. an Agent Network

On the surface these two products look alike. Both say the people who do the work should build the automation. Both let you show a workflow or describe it instead of writing a spec, and change it later in plain language, because the work always changes. Both run the exact steps as rules and save AI for the judgment calls. The differences sit underneath: how the agents relate to each other, how they connect to your systems, how each one finds the work, and who else the vendor sells to.

One process per agent, or a network of agents

Akai describes itself as a brain inside your organization: an interconnected system of agents, each sharing a common context layer, where every agent knows what the others are doing. That is a strong design for reasoning across many tasks at once.

It is a harder design to audit. When agents hand work to each other and draw on a memory that keeps changing, the questions a compliance team asks get harder to answer: which agent made this decision, and what did it know when it made it? Caddi takes the opposite approach. Each agent owns one process. The fixed steps run as verified code, the judgment steps are scoped, logged and reviewable, and work passes between processes through the system of record your firm already trusts. There is always one place to check what happened.

How each one connects to your systems

Akai records the network calls behind your clicks and builds a connector from them in seconds. It uses 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 FAQ is candid about the tradeoff: if one of those calls changes, the run stops and logs the failure, and Akai rebuilds the path.

A deterministic step is only as reliable as the connection underneath it. Caddi verifies each connection before a workflow runs on it, so the same input takes the same path on every run, and a change in a system you depend on is caught before it reaches a run.

There is a second question underneath the first. Many software contracts limit how a customer may access the vendor's system, and some rule out reverse engineering or automated access through interfaces the vendor has not published. Before an agent runs on an unofficial API rebuilt from recorded traffic, it is worth checking what your agreement with that vendor allows. Caddi connects through the access your vendors provide and does not work around the agreements you have with them, so an automation never puts a vendor relationship, or your business, at risk.

Finding the work: tickets and surveys, or the tools themselves

Akai's AI Assessment builds a task map for each role from your ticketing and chat systems plus surveys of your team, then delivers a ranked roadmap of agents to build. That captures the work someone logged or remembered.

Discover connects read-only to the tools your team works in and finds the repeated work itself, including work nobody had written down, ranked by estimated hours with the evidence behind each finding. It keeps running after the first automation ships and feeds Govern, so leadership sees both what is automated today and what should come next.

What it costs: a plan you buy, or a bill per run

Akai prices the work as it runs. In its own words, each task is priced based on how hard it actually is, not a flat rate for everything. It routes simple steps to lighter models, uses memory to make fewer AI calls over time, and shows you the cost of every run. That is a real effort to bring the bill down, but the bill still moves with volume and with how much reasoning each run takes, and Akai does not publish its prices.

Caddi is a plan you buy. You see the price before you sign, the plan comes with a set monthly allowance, and we work with you to size the plan to the work you want to run. Because the fixed steps of every workflow run as code, a repeat run does not pay a model to reason through the same steps again. AI is spent only on the judgment steps, so the same work uses far fewer tokens and the cost stays where you planned it.

A vendor that connects your tools, not one that sells them

Akai is sold as a standalone product with its own contract, and you do not need to be a Deel customer. Deel also sells payroll, HR and employer of record services, so for many firms the company automating their operations would also be a competitor to one of their existing vendors.

Caddi is only the connection between your tools. It does not sell a CRM, a custodian, a practice management system or a payroll product, so it has no reason to steer you away from your systems or your partners.

Caddi vs. Akai at a glance

How they score where it counts

What getting started looks like

Which fits your situation

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Start with your most repetitive process

Not sure which one that is? Discover will find it. See how Discover works, the PitCrew comparison, or book a demo.

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