4 hours → 20 minutes
A brief goes in. A branded, on-message first draft comes out, with your pricing and your terms already in it. Your best person reviews it instead of writing it. Three done before lunch.
Your team, multiplied.
Odokai puts a workforce of AI agents behind each of your people. The proposals, reports, claims, research and creative that eat their week, handed off and done. Built once, shared by everyone, improving with every use. Inside your own environment, for less than the cost of a junior hire.
Tell us what eats your week. We will say honestly whether it is worth automating, and show you on a ~45-minute call with your own documents.
You're not short of talent. You're short of hands.Give each of your people a team of agents and the maths changes. A twelve-person firm starts turning work around like a hundred-person one. The big firms manage it with headcount. You won't have to.
What Changes
Same people. Same week. A different amount of work.
Agents do the assembly, the drafting, the creative, and the first-pass checking. The people you pay for judgement spend their day on judgement instead of admin. These are real jobs, running for real teams, on their own data.
Half a day → 15 minutes
Numbers pulled from every system, formatted, and checked against last month before anyone opens it. Someone reads it, signs it, sends it. You get your Friday evening back.
All morning → Minutes
First-pass review flags the risk clauses, pulls the key dates and figures, and lists what is missing. Your person checks the flags rather than reading forty pages from scratch.
Two days → One hour
A sourced, structured answer to the question you actually asked, with the citations attached. Your person adds the judgement and moves on. The decision happens this week, not next.
Two weeks → An afternoon
Write the brief and get back a built page: copy, imagery, layout, all on brand. Your team reviews it and hits publish. The campaign ships this week.
Days of back-and-forth → The same meeting
Product shots, social tiles, banners, one-off artwork, generated to your brand guidelines. Pick the winners before the meeting ends, then post them.
The secret ChatGPT problem, solved
One login, every leading model, full audit trail. The shadow AI already happening in your team, moved somewhere you can actually see it.
Your handbooks, answerable
Load in your contracts, policies, and SOPs. Anyone asks a question and gets a cited answer in seconds, instead of interrupting someone senior.
Replace the tool, not just the task
Build a client portal, a compliance tracker, or a CRM inside the platform, on your own data, and stop renewing the subscription it replaces.
Why Odokai
Your data. Your AI. Your audit trail.
Most AI tools ask a regulated firm to choose: keep control of the data, or get the useful thing. Odokai runs inside your environment, on whichever models you allow, and records how every output was produced. It is doing that in regulated production today.
It runs on your infrastructure
Your own instance, in your cloud account, your datacentre, or an air-gapped environment. Your documents, your index, your audit trail, and your workflow logic stay inside it. Run open-weight models locally and nothing leaves at all; use a frontier model and the call is zero-retention, in-region and no-training, or on your own contract with the provider. Any model, either way.
Every output shows its working
Not a chat transcript. Every field traced back to the document it came from, every validation recorded, every agent step reproducible. When a regulator, a client, or your own risk committee asks how a figure was reached, you answer from the record instead of reconstructing it from memory.
It is already doing regulated work
Not a pilot, not a sandbox, not a demo environment. Odokai runs in regulated production today, on live cases, where the output goes out to external counterparties and gets checked.
Live
in regulated production, not in pilot
2+ hrs
saved on each case handled
100%
of outputs carry a provenance trail
Frameworks and harnesses are what developers use to build agents. Odokai is a governed workplace that is already doing the regulated work — on your infrastructure, on your models, with the audit trail attached.
How It Starts
See it working before you spend a penny.
Pick the job your team dreads most. In about 45 minutes we build an agent that does it, live, on your own documents. You will know inside the hour whether this is worth doing, and finding out costs you nothing but the hour.
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Step 1
See It Work
Free ~45 minutes
Bring a handful of your own documents. On the call, we build an agent that handles one of your workflows, live, on your data, not a demo script. You leave with a working agent and a clear picture of what production-ready looks like for the rest.
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Step 2
Production Rollout
Fixed fee 1–5 weeks
We take the agent you saw on the call and make it something you can put in front of clients: edge cases handled, plugged into your systems, every action logged, access controlled, your team trained on it. You sign off the acceptance criteria before we start and the fixed fee doesn't move after that. This is the only workflow that carries a full build fee. Once it's live, the platform and the governance underneath it are set up for good.
Scoped and quoted after the Trial, once we both know what the workflow needs. 50% on kickoff, 50% on acceptance.
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Step 3
Your Instance
Monthly fee shared or dedicated
What it costs to keep everything running once you're live. Model usage is included up to a fair-use volume we agree during your diagnostic, with a plain stated rate above it. Model upgrades reach your instance at no extra build cost. Your team builds new agents here without paying another rollout fee.
What Happens Next
The first one is the hard one.
Getting a workflow into production is where the work sits: the edge cases, the integrations, the sign-offs, the governance. Once that's done, it's done. Your team builds the next ones themselves on the same instance, and if you'd rather we built them, you're paying for the workflow, not the plumbing underneath it.
First workflow
We build and harden it with you. Sets up the instance, the governance, the integration patterns, and your team's working knowledge of how to use the platform.
Second workflow
Your team reuses the instance, the governance, the model routing, and the approval patterns. If you'd rather we built it, we scope it as a small piece of work, not another rollout.
Workflows 3 to 5
By the third, your team is working on the patterns we set up in week one. When we build one for you, you're paying for the workflow, not the platform underneath it. That's where the cost comes out.
The monthly fee
Covers the agentic platform your agents run on: model usage up to a fair-use volume, model upgrades as they ship, the infrastructure, and the support to keep it all running.
Same pattern as the first proper system you bought, or the first person you hired into a new role. The setting up happens once. Everything after it reuses the work. The expensive part is never the second one.
Where It Runs
Two ways to run it.
The Trial is free. The Production Rollout is the fixed fee for the first workflow. The platform fee below keeps the agentic platform running, so your team can build the next workflows on it.
Team (Shared)
Your team on Odokai, hosted and run by us alongside other customers. The fastest route to live, with no cloud infrastructure to stand up first.
- Hosted alongside other Odokai customers
- Build, run, and govern agents on your own data
- Role-based access, full audit trail, policy controls
- Model usage included up to a fair-use volume
- Model upgrades included as they ship
- Your team builds the next agents on it, no rollout fee
If keeping your own AWS environment matters, choose Team (Own Instance) instead.
Team (Own Instance)
A dedicated Odokai instance, run by us or by your own team, in your AWS account or ours.
- A dedicated instance, in your AWS account or ours
- Your data and everything you build stay yours
- Build, run, and govern agents on your own data
- Role-based access, full audit trail, policy controls
- Model usage included up to a fair-use volume
- Model upgrades included as they ship
- Your team builds the next agents on it, no rollout fee
Nothing is held hostage. Your data and everything you build export on request, and source code escrow goes in the contract where you need it.
The Trial is free. The Production Rollout is a fixed fee for one workflow, scoped after the Trial. The platform fee starts when your instance goes live and covers the agentic platform your team builds the next workflows on. We will quote all of it once we know what your workflow needs.
Who This Is For
You already know which job we mean.
It's the one that gets pushed to Friday. Mortgage file checks. Claims triage. KYC packs. Clinical letter prep. Tender responses. Grant assessments. Different document, same shape of work.
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Document-heavy
Files, forms, applications, records.
The work starts with a document your team has to read, draft, extract, or fill.
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High-frequency
Done dozens of times a week, not once a quarter.
One-off tasks don't pay back the de-risking. Repeatable work does.
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Reviewed, not rubber-stamped
A senior person checks the output before it goes anywhere.
The agent does the slow part. The judgement stays with the person.
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Sensitive
The reason you haven't already run it through ChatGPT.
Client data, regulated material, anything that can't leave your environment. That's the brief.
Tell us what eats your week.
Name the job your team dreads and we will tell you straight whether it is worth automating. When it is, the next step is a ~45-minute call where we build the agent live on your own documents. You get a straight answer either way.
Would rather just have a play? Try it out and poke around the platform yourself.