Partnership Program · For Fractional CDOs and AI Officers

Your data and AI team that delivers immediate value.

Innovatics partners with fractional Chief Data and AI Officers to build the data foundation, the models, and the governance your clients need, without you having to hire an engineering team.

Book a 30-minute call Under NDA and ISO 27001 · inside your client's stack

Where you'll want us in

The moments the mandate has to become real.

You own the data and AI mandate. These are the points where it has to turn into something that ships, and where the engineering team you were not given would otherwise be the bottleneck.

The board wants AI

The board asked what you are doing about AI. You need a credible plan and the team to deliver it, not another slide.

The data isn't ready

The use case is clear, but the data is scattered and ungoverned. Most AI work fails right here, on readiness, not on the model.

Pilots that don't ship

There is a proof of concept that impressed everyone and changed nothing. You need it in production, tied to a number.

Governance is overdue

Models are going live with no inventory, no monitoring, and no audit trail, and a regulator or an acquirer is going to ask.

Proof and security

What it looks like when it's built.

These engagements are real, with data and AI running in production. The full stories sit in the case studies, and the security posture is below them.

Security

Work runs under NDA and to ISO 27001 standards, inside the client's own environment.

Regulated experience

We run model monitoring and governance in regulated environments today.

Your stack, your data

Built in the platforms the client already owns. The intelligence layer is theirs at handover.

See all case studies

What we deliver

Six programs, built around the decision, not a tool.

Most engagements start with the read, move to the foundation because the data is rarely ready, then take one use case live. Governance and modernization run alongside as the client matures.

01

AI & Data Readiness Read

Score the data and rank the use cases worth backing, before any build. The entry point.

02

AI-Ready Data Foundation

The clean, governed data platform inside the client's stack that AI actually needs.

03

AI & ML to Production

One validated use case taken live, with MLOps, tied to a number the board can read.

04

AI Governance & Model Risk

Model inventory, monitoring, and audit trails, aligned to the NIST AI RMF and the EU AI Act.

05

Cloud & Data Modernization

The production-grade, cost-controlled environment the models run on.

06

Technical Due Diligence

The data and AI estate assessed and narrated for a raise or an acquisition.

The engineering bench behind these: Applied AI, Agentic AI, Computer Vision, Data Lake & Warehouse, Cloud Infrastructure.

How we deliver

One method, every time. Readiness first, governance from day one.

The same spine runs under every program. It is the discipline that separates the AI work that lands from the work that stalls.

01

Scope on a call

A 30-minute call with you and your client to confirm the decision and the right program. No pitch deck.

02

Readiness read and charter

We score the data and agree what success looks like, signed off, before any build begins.

03

Build inside their stack

A senior-led pod builds in the platforms they already own. Readiness first, governance from day one.

04

Run and hand over

We run it against early signals and P&L, then hand the capability over. The intelligence layer is theirs.

How we partner

Built around your relationship, not around ours.

Your call on the model

We work as part of your team, or contract directly with your client. Either way the relationship is yours, and we never approach your client on our own.

Inside their stack

We build in the platforms your client already owns, Fabric, Snowflake, Databricks. No migration, no new license to sell, no disruption to their other partners.

You stay in control

Human in the loop by default. We recommend, you and your client decide. Work runs under NDA and to ISO 27001 standards.

Partner questions

What fractional data and AI leaders ask us first.

Don't see yours? A senior team member will answer it on the call.

01What does Innovatics do for a fractional CDO or Chief AI Officer?+
Innovatics is the data and AI engineering team behind fractional data and AI leaders. You own the mandate and the client relationship. We build the data foundation, the models, the governance, and the production systems your clients need, so the mandate actually delivers, without you hiring an engineering team.
02How exactly do you work, and what is your process?+
Every engagement runs the same way. A 30-minute scoping call, then a readiness read that defines success before any build, then a senior-led pod that builds inside the client's stack with data readiness first and governance from day one, then a run-and-handover phase measured against early signals and P&L. The capability is the client's at the end.
03Who owns the client relationship, and do you ever go direct?+
You own it, always. We work to your direction and never approach your client independently or sell strategy around you. The partnership only works if it protects your seat.
04Do you work under my brand, or directly with the client?+
Your choice, per engagement. We can deliver as part of your team under your brand, or contract directly with the client. Either way you stay in front and the relationship is yours.
05What do you actually build?+
A clean, AI-ready data foundation first, then the models or agents the use case needs, the governance and monitoring around them, and the cloud environment underneath. Everything is built around one decision the client needs, not a dashboard no one reads.
06Why do so many AI projects fail, and how do you avoid it?+
Most fail on data readiness and governance, not on the model. We put readiness and a clear definition of success first, build one well-defined use case before expanding, and run governance from day one. That is the discipline that separates the AI work that lands from the work that stalls.
07What platforms and tools do you work in?+
Inside the tools your client already owns, including Microsoft Fabric, Snowflake, Databricks, Power BI, Tableau, and their cloud. There is no platform to migrate and no new license to sell, and the intelligence layer is the client's at handover.
08How do you handle AI governance and model risk?+
A model inventory classified by risk tier, drift and performance monitoring, audit trails and access controls, and alignment to the NIST AI RMF and the EU AI Act, with SOC 2 or HIPAA where relevant. We run model monitoring and governance in regulated environments today.
09How is the client's data kept secure?+
Under strict NDA and to ISO 27001 standards, handled inside the client's own environment to enterprise security expectations.
10How do we start, and is there commitment up front?+
We start with a readiness read on one use case, so you see what is real before any build. There is no contract to begin and no pitch deck, and you talk to a senior team member, not a BDR. Engagements are scoped per client, and the build follows only if it lands.

Built for fractional leaders

More ways we partner.

Start with one use case

You own the mandate. We make sure it delivers.

A 30-minute conversation with a senior team member, not a BDR. No commitment, no pitch deck. Bring the one use case the board is asking about.

No engineering team to hireThe relationship is always yoursInside your client's stack

New to Innovatics? Read about the team and how we work.