Complex implementations
AI that works across departments, systems and data sources.
Solutions · Enterprise
From proof of concept to governed production.
Custom systems, integration architecture and security-minded delivery for organizations where the stakes are high.
Many AI initiatives stall between a promising pilot and a system the organization can rely on. We help you cross that gap.
- Integration architecture
- Governance
- Custom systems
The problem
The pilot worked. Production is another matter.
Moving AI into systems the organization relies on raises questions a pilot never had to answer.
- Promising proofs of concept are stuck waiting for a path to production.
- Security and governance reviews arrive late and send work back.
- New AI capabilities must work with long-established systems.
- Several vendors are involved, and nobody owns the path from idea to production.
What enterprises ask of us
Complex landscapes, real constraints.
Integration architecture
Designs that fit your existing landscape instead of fighting it.
Custom systems
Internal and customer-facing software built for your requirements.
Security considerations
Data handling, access and vendor choices decided early and documented.
Scalability and resilience
Designed for growth in users, data and use cases, with monitoring, failure handling and recovery steps planned with your teams.
Technology strategy
Build, buy and connect decisions with the reasoning written down.
Architecture layers
Four layers we design together.
Select a layer to see what we decide there and what you review.
Governance
- What we decide together
- Who approves what, audit trails, model and vendor policies, risk reviews.
- What you review
- Policies, approval matrix, risk register.
How we work with large organizations
Evidence at every gate.
- 1
Architecture review and technical discovery
Your landscape, constraints and stakeholders, mapped.
- 2
Proof of concept
Built against a defined success criterion, with a governance review.
- 3
Reviewed build
Documented decisions, code reviews and milestone demos.
- 4
Security and risk review
Before go-live, with your security and compliance teams, against the requirements you set.
- 5
Phased rollout
Production deployment in stages, with rollback plans and monitoring at each step.
- 6
Handover and improvement
Monitoring, runbooks and an improvement backlog.
Delivery models
Work alongside your teams, or deliver for them.
Build partner
We work alongside your engineers, architects and product owners.
Embedded squad
A dedicated team inside your program, following your ways of working.
Delivery team
We deliver a defined product end to end, with your oversight.
Partner ecosystem
Specialist partners where a program needs them.
Creatimus works in alliance with Linuxcorp Networks, which describes itself as focused on network management, cybersecurity and infrastructure. Where a program needs that kind of expertise, we discuss involving them and agree the scope with you.
What we will not do
Promise outcomes before we understand your data.
We tell you early if a use case is a poor fit for AI. We do not claim certifications we do not hold; if you need a specific standard, tell us at the start and we will say plainly what we can and cannot meet.
Questions enterprise teams ask
Can you work within our procurement and security processes?
Yes. Tell us your requirements early and we will plan the work around them.
Which AI providers do you use?
We choose per use case, document which providers handle which data, and can work with providers you have already approved.
Do you work with our internal teams?
Yes. We are comfortable alongside engineering, IT, legal and security staff.
Can we start with a proof of concept?
Yes. It is the usual first step, with success criteria agreed up front.
Bring us the pilot that stalled.
We will review where it stands and what production would really take.
Or call +1 (719) 621-6500 · [email protected]