03
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Implementation

AI Use Case Productization

Taking an AI solution to production

We take the solution from pilot to daily use, and stay responsible for it afterwards.

What makes us different?

01

We stay after the pilot

We don't stop at the demo: we take the solution all the way to daily use and stay responsible for it afterwards.

02

At home in enterprise environments

For decades we have worked alongside banking, telecom and energy systems, and we know their strict requirements.

03

We build by the rules

We build AI Act considerations and human oversight in from the design stage.

In short

AI Use Case Productization is United Consult's productization service, building a proven AI solution into daily operations. We integrate it with existing systems, build stable operation and performance monitoring, define human approval points and prepare the regulatory documentation.

01
Before implementation
Find out where you stand
02
Piloting
Find out if it's worth it
03
Implementation
AI in production
04
Operations and support
We stay with you even after go-live
Benefits

From demo to daily use

We build the proven solution into your daily processes, stable, supervised and compliant, and can take over its operation if you wish.

Colleagues use it every day
Handles full company load
You see how it performs
Humans decide where needed
Compliant with regulations

When is it needed?

Successful experiments keep coming and the numbers look good, yet none of them has become a daily tool. The question is whether they can handle full load, and the IT team worries that supervising yet another system will land on them.

How we work

We integrate the solution with your existing business systems, build stable operation, set up continuous performance monitoring and define the points where a human approves the decision. Operational and regulatory documentation is prepared too.

Where can it be used?

Planning

Forecasting in the planning system

Demand or inventory forecasts appear right where planners work.

Customer service

Assistant alongside the CRM

Suggested replies and summaries in daily case handling.

Back office

Document processing in the workflow

Extracted data flows automatically into the right system.

Sales

Recommendation engine in your channels

Personalised offers in online and in-person sales.

Who is it for?

IT and data leaders who have a proven solution and want colleagues to use it every day, in an auditable and controlled way.

Technology
Our technology partners in this

Our working process

How our collaboration progresses

8 to 12 weeks
1
Phase
Alignment

Pilot results, production requirements

Requirements captured
2
Phase
Design

Integration and operating plan

Plan approved
3
Phase
Development and testing

Integration, monitoring, approval points

Test environment ready
4
Phase
Go-live

Launch and handover

Go-live

Result

What you can expect after go-live

  • A production solution integrated with your existing systems
  • A monitoring system that alerts you when accuracy drops
  • Defined points where a human approves the decision
  • Operational and regulatory documentation
  • Handover to your team or to our operations
Team

Who do you work with?

AI engineer
Leads productization and is responsible for stable operation and monitoring.
Data engineer and integration developer
Integrate the solution with existing systems.
AI architect
Provides technical oversight and approves the architecture.
Project manager
Coordinates go-live and handover.

Useful reading on this topic

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FAQ

Frequently asked questions about this service.

Why do so many AI pilots get stuck?

Because there is a lot between a demo and daily use: integration with existing systems, stable operation under load, monitoring, accountability points and documentation. Productization solves these.

Do you take pilots built by others into production?

Yes, if the solution demonstrably works and the outcome is equivalent to an AI Proof of Value pilot. In the first step we review what is needed for go-live.

What does human oversight mean?

We define the points where a colleague approves the AI's suggestion before it becomes a decision. For high-risk use cases this is also required by the AI Act.

How long does productization take?

The base package takes 8 to 12 weeks with up to two system integrations. More integrations or real-time operation take longer.

Who operates the solution after go-live?

We hand it over to your team, or take it over as part of our Managed Data & AI Platform service with a contractual service level.

Free

30-minute AI consultation

Let's discuss where your pilot stands and what it takes for colleagues to use it every day.

You will speak with an expert colleague, not a salesperson
We will recommend which of our services you should start with
No obligation, online or in person

Make the most of IT with United Consult.