Services

CoE Launch

A fixed-scope program that ends with an operating AI Center of Excellence.

At a glance

Who it's for: Organizations with AI pilots across teams and no central operating model, or a CoE that has stalled.
Typical sponsor: CIO, CTO, or Chief Data Officer, with the business leaders who own the first use cases.
Format: Fixed scope and deliverables, agreed in writing.
You end with: An operating CoE with named owners, an open intake, and a first wave of use cases in flight.

Why it matters

Most AI programs do not fail on technology. They stall because no one owns intake, no one has defined what good looks like, and every team builds its own path to production. A CoE fixes ownership first, so the next ten use cases move faster than the first one.

Signs you need this

Pilots are running in several teams, and few have reached production with measured value.
No one can list the AI work in flight or who approved it.
Each project negotiates security, architecture, and data access from scratch.

What you get

CoE charter and decision rights: What the CoE owns, what business units own, and who approves what.
Operating structure: Roles across business, technology, risk, and delivery, with named owners.
Intake and prioritization: One front door for AI requests, scored on value, feasibility, data readiness, and risk.
A governed path to production: Sandbox, standards, approvals, and the three-check validation standard.
A first wave in flight: A small set of use cases moving through the new process, proving it works.
Leadership reporting: A portfolio view and cadence your executives can follow.

Example format. Not client data.

Sample intake questions

What business problem does this solve, and for whom?
What would success change, in numbers?
What data does it need, and who owns that data?
What is the worst outcome if it is wrong?
Who will own it after launch?

How it runs

01AssessMap current AI work, owners, platforms, and where things stall.
02DesignAgree the charter, structure, intake, and standards with your leaders.
03Stand upName the roles, open intake, and put the path to production in place.
04Deliver the first waveTake the first use cases through the new process and fix what breaks.

What we need from you

An executive sponsor who can make ownership decisions.
Named leads from technology, security and risk, and the business units with the first use cases.
Access to current AI projects, vendors, and platforms.
Decision-makers available for design workshops.

The method behind it

Ramanova CoE Blueprint

A tested operating model for standing up an AI Center of Excellence: structure, roles, intake, and delivery cadence.

The Blueprint answers three questions every AI program eventually faces: who owns AI work, how it gets approved, and how it moves from idea to production. We adapt it to your size, talent, and existing delivery model rather than imposing a fixed org chart.

What it covers

Charter, scope, and decision rights
Roles across business, technology, risk, and delivery
Use case intake and prioritization
A governed path from sandbox to production
Delivery cadence and portfolio reporting to leadership

Illustrative scenario

Illustrative scenario. Not a client case study.

Consumer lender with a stalled CoE

A CoE was announced last year. It has a small team, but no intake, no standards, and business units still go around it.

Approach: Reset the charter and decision rights with the CoE Blueprint, open one intake with shared scoring, and take a first wave through a governed path, so going through the CoE becomes faster than going around it.