Odokai
Team planning AI systems on a whiteboard

Ship your first workflow in weeks.

We scope it, build it on your real data, and transfer everything. Your team owns the result, the IP, and the path forward. After that, the platform gives your team what it needs to bring more processes in-house.

Talk to Us Explore the Platform

Odokai is both a platform and an advisory team. The platform gives your organisation governed AI infrastructure: model registry, agents, orchestration, and apps on infrastructure you control. The advisory team is independent of the platform. We work with organisations wherever they are in their AI journey, on whatever stack they run.

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Platform governed model registry, agents, orchestration, and apps on your infrastructure
Advisory engagements structured around the work: sprint, build, embedded, or advisory
You own it full IP transfer, documentation, and team upskilling in every engagement
Your team is ready to build on it

Platform

The full Odokai platform, deployed where your data has to live. Your engineers and operators build agents, workflows, knowledge bases, and apps directly. You own everything from day one.

  • Same surface as ChatGPT Enterprise. Chat, agents, knowledge, apps.
  • Any model. Frontier or open, behind shared policy and routing.
  • Deploy anywhere. Managed, your cloud, or fully air-gapped.
  • Built-in governance. RBAC, approvals, audit, evaluation.
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You want the first workflows shipped for you

Delivery

Our team stands up Odokai in your environment, builds the first production workflows alongside yours, and transfers everything when it is running. You leave with a live platform and the team capability to extend it.

  • Production from day one. Real integrations, approvals, and data.
  • Workflow selection. The highest-leverage process to ship first.
  • Stakeholder alignment. Architecture and governance leadership sign off.
  • Full transfer. Your team owns the platform, the workflows, the IP.
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How Adoption Actually Works

Live workflow in weeks, not quarters

You do not need a six-month platform programme to start. Stand up Odokai in the deployment mode that fits today, pick one process where the cost of doing nothing is obvious, and ship it. The proof point pays for the next ten.

If governance tightens later, move to your own cloud or go air-gapped. The platform, the workflows, the apps move with you.

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1. Stand up the platform

Managed on day one, or directly into your private cloud. Connect your identity provider, your model accounts, and the first systems agents need.

2. Build the first workflow

Pick the process the team already complains about. Wire up the agent, the tools, the approvals, the audit. Ship it where the work happens.

3. Expand from evidence

Open the platform to more teams. Add agents, knowledge bases, and apps as the wins compound. Move deployment modes if the data demands it.

Built for production. Owned by you.

Self-hosted, private cloud, or air-gapped deployment Any model. GPT, Claude, Gemini, Llama, Mistral, your own. RBAC, approvals, and audit trails built in MCP-native and fully extensible

Advisory Engagement Packages

We structure engagements to match the work. Short packages for discovery and delivery. Longer programmes for teams who need embedded support, ongoing advisory, or engineers working in-situ. In all cases, clear scope and transparent costs before anything starts.

What We Do

We work across three phases: discovery, advisory, and implementation. Your AI programme moves from experiment to operation in a structured, sustainable way.

Discovery

Before anything is built, we need to understand your organisation, your workflows, and where AI can genuinely move the needle. Discovery maps the gap between AI potential and your real operational priorities, so effort goes to the right problems from the start.

  • Workflow mapping and opportunity identification
  • Feasibility and ROI analysis against your actual costs
  • Architecture outline and prioritised delivery roadmap

Advisory

Strategic guidance to keep your AI programme moving in the right direction as your organisation builds capability. Whether you need a one-time review or ongoing fractional leadership, advisory bridges the gap between ambition and execution.

  • AI roadmap development and prioritisation
  • Architecture direction and technical decision support
  • Governance frameworks and responsible adoption planning

Implementation

Taking your AI experiments and pilots into production. We build the systems, integrate them with your existing stack, and hand them over fully documented and understood by your team, so they become something your organisation relies on.

  • Production-grade AI systems integrated with your processes and data
  • Iterative delivery with visible progress at every stage
  • Full handoff: documentation, training, and delivery ownership

How We Are Different

Taking AI from experiment to operation requires more than technical knowledge. It requires workflow thinking, integration experience, and a track record of delivering systems that organisations actually rely on.

01

From experiment to operation

Many AI initiatives stall between pilot and production. We design for the real workflow from the first conversation, so the system we build is the system your organisation relies on. Not something that needs rebuilding once the pilot has proved its point.

02

Outcomes first, models second

The model is rarely the bottleneck. Workflow design, data quality, integration, and governance are where most AI initiatives fail to deliver. We focus there. The technical stack follows the business problem, not the other way around.

03

You own what we build

Complete handover of the engagement deliverables. Full documentation. Handoff training included in every engagement. You walk away with a system your team understands, can maintain, and can extend, without ongoing dependency on us for day-to-day operation.

How an Engagement Works

From the first conversation to a system your team owns. Clear at every stage.

Initial Conversation

A focused discussion about your business and the workflows that cost the most time or money. No commitment required.

Free. 45 to 60 minutes.

Scope and Proposal

A written statement of work with clear deliverables, timeline, and investment. Structured to match the engagement, agreed before anything starts.

Typically 2 to 3 days to produce

Delivery

Embedded, iterative delivery with weekly goals. Remote or on-site. You see progress throughout, not only at the end.

Varies by engagement package

Handoff

Documentation, training, and a structured handover so your team owns what was built. Included in every engagement, not an add-on.

Included as standard

Tell Us What You Want to Automate

A short conversation is enough to understand whether the platform, an advisory engagement, or both makes sense for your situation. No commitment, no pressure. We will tell you honestly if we are not the right fit.

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