Deployment & Operationalisation

From prototype to production

Prototypes prove concepts but production is different. Applications need proper infrastructure, security review, access management, monitoring, backup procedures, and team training. The gap between "it works on my laptop" and "it runs in production" is significant.

Deployment & Operationalisation takes custom applications from development to production-ready operation. Includes infrastructure setup, security configuration, user access management, monitoring, documentation, and handover to internal teams.

For organisations with working prototypes or applications ready to move into live operational use.

What you get

Applications running in production with your team trained to operate them. Our customers use this service to bridge the gap between proof-of-concept and reliable operational tool.

Timeline:
2-4 weeks
Deliverable:
Production deployment with documentation, monitoring setup, team training, operational procedures, and support handover

How it works

Infrastructure Setup

Configure production environment, establish hosting, set up databases, configure networking and security.

Security Configuration

Implement authentication, authorisation, encryption, audit logging, backup procedures, disaster recovery.

Access Management

Configure user roles, permissions, SSO integration, access controls, and onboarding procedures.

Training & Handover

Train operational teams, document procedures, establish support escalation, hand over operational ownership.

What's required

Production infrastructure availability. Security and IT stakeholder involvement. Time for team training and documentation review. Clear operational ownership assignment.

"The handover was smooth. Our team knew exactly how to operate and maintain the tool from day one. No dependency on external support."

IT Operations Manager, Manufacturing (Global)

Go to production.

Let's discuss moving your application into production.

Discuss deployment readiness

Common questions about deployment

Common questions about deployment

What does deployment cover?

Getting an AI workflow into real use: integration with your systems, access controls, monitoring, human review points and a clear go-live plan.

How do you avoid disruption to existing systems?

We work alongside your existing systems rather than inside them. Rollouts are staged so the team can see how the workflow behaves before relying on it.

Who needs to be involved from our side?

Usually the team that owns the workflow, plus the people who own the relevant systems and data. We aim to keep the group small and the decisions clear.

How do you measure success at go-live?

Each deployment has clear before-and-after measures, such as time saved, errors reduced or response times improved. Measurement is built into the workflow, not bolted on.

What about support after go-live?

We agree what ongoing support looks like upfront, from light-touch monitoring to a more active role while your team builds confidence.

How are people in the team prepared for go-live?

The team that owns the workflow is involved through the build, not handed a finished thing at the end. Short walk-throughs, clear documentation and review points mean the workflow is familiar by the time it goes live.

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