Team planning AI systems on a whiteboard

Platform. Advisory. One Team.

Taking AI experiments into production: governed, integrated, and owned by your team.

Discovery, advisory, and implementation. Structured to fit the work.

From pilot to operational AI. Software and expertise, together.

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.

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

Platform

The AI stack your organisation runs on.

Governed model access, repeatable agent workflows, and production-grade orchestration. Hosted on Odokai or deployed to your own infrastructure. Replace a patchwork of AI subscriptions with one governed platform.

Unified model registry across cloud and on-premises providers
Agents, integrations, and scheduled workflows that act on your systems
Conversations, plans, orchestrations, and apps for your teams
Individual, Team, or Enterprise. Same platform, your choice of deployment.

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Advisory Services

Expert hands to build the systems.

We take your AI experiments and pilots into production, integrating them with your real processes, your data, and your existing systems. Something that works in isolation becomes something your organisation relies on.

Identify the highest-impact automation opportunities in your business
Build AI systems integrated with your existing software and data
Your team learns as we build. Full IP transfer on every engagement.
Clear scope and transparent costs agreed before anything starts

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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.

Start here

AI Opportunity Sprint

Identify where AI can genuinely reduce cost or increase throughput. Leave with a prioritised roadmap and architecture outline you can act on immediately.

What you get

Automation opportunities ranked by impact and feasibility
ROI analysis against your actual workflows and costs
Architecture outline for the highest-priority initiative
Written recommendations you can act on immediately

Typically 1–2 weeks Remote or on-site. Suitable as a standalone engagement or the first step toward a Production AI Build.

Build it right

Production AI Build

A working AI system integrated with your real data and processes, delivering measurable outcomes. Scoped for production from day one so it becomes something you rely on, not a pilot that needs rebuilding.

What you get

Production-grade AI workflow designed for your processes
Integration with your existing software, data, and infrastructure
Testing, documentation, and internal runbook
Full IP transfer and handoff training. No lock-in to us.

Typically 8–16 weeks Iterative delivery with weekly goals. Includes Opportunity Sprint phase to ensure the right problem is solved first.

Scale with confidence

Fractional AI Leadership

Senior AI expertise embedded in your team without a full-time hire. Architecture decisions, delivery oversight, and AI roadmap ownership alongside your leadership.

What you get

Ongoing architecture guidance and design review
AI roadmap ownership alongside your senior team
Quality oversight of AI engineering delivery
Senior expertise available when decisions need to be made

Structured retainer Typically two to four days per month. Suited to organisations actively building or scaling AI capability internally.

Longer-term and embedded engagements

For programmes that run beyond a defined build, we also work on a day-rate basis. This includes AI adoption support across an organisation, forward-deployed engineers working in-situ alongside your team, and ongoing embedded delivery where the scope evolves over time. These engagements are independent of the Odokai platform. We work with your existing stack and tools. If your situation does not fit a packaged engagement, talk to us and we will work out a structure that does.

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 IP transfer

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.

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.

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.

You own what we build

Full IP transfer. Full documentation. Handoff training included in every engagement. You walk away with a system your team understands, can maintain, and can extend. No ongoing dependency on us.

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.