Multi-Site
Multi-site commercial client (anonymised)
UK | Multi-Site | Workplace Automation, Managed Infrastructure
CHALLENGE
The operating problem
Altus was appointed to review, redesign and optimise operational workflows across a multi-site organisation seeking to improve execution speed, reduce administrative overhead and modernise the way operational teams interacted with systems, information and internal processes. The client required a structured approach to AI enablement focused not on isolated automation tools, but on improving the operational workflows that underpin day-to-day business performance.
The organisation operated with multiple disconnected systems, duplicated manual processes, inconsistent workflows and operational bottlenecks that had evolved over time as the business scaled. While individual AI tools had already been trialled internally, adoption remained fragmented and failed to deliver measurable operational improvement because the underlying operating model and workflows had not been redesigned.
The client required a practical transformation programme focused on improving operational execution, visibility and scalability before layering AI capability into the environment.
Workflow inefficiency
- High levels of repetitive administrative activity
- Manual information transfer between systems and teams
- Inconsistent operational processes across departments
Technology fragmentation
- Multiple disconnected SaaS platforms and workflows
- Limited operational visibility across teams
- Increasing management overhead as the business scaled
AI adoption challenges
- Existing AI initiatives delivering limited measurable value
- Lack of workflow standardisation prior to automation
- Requirement for governed and scalable AI implementation
APPROACH
How Altus delivered
Altus completed a structured workflow transformation programme focused on redesigning operational processes before introducing AI-enabled capability into the environment.
Workflow transformation
- End-to-end operational workflow review and redesign
- Identification of duplicated effort and process bottlenecks
- Standardisation of operational processes across teams
AI enablement
- Introduction of AI-assisted workflow automation across selected operational functions
- AI-supported content generation, information handling and operational task acceleration
- Integration of AI capability into structured operational processes rather than isolated tools
Operational infrastructure
- Consolidation of fragmented systems and workflows
- Improved operational visibility and reporting capability
- Governance-focused implementation aligned to operational accountability
OUTCOME
What changed
The completed programme delivered a more scalable, operationally efficient business environment capable of supporting long-term growth and future AI expansion.
Operational outcomes
- Reduced administrative workload across operational teams
- Faster execution of repeatable business processes
- Improved consistency across operational workflows
Technology outcomes
- Reduced workflow fragmentation between systems
- Improved visibility across operational activity
- More structured and scalable AI adoption
Strategic outcomes
- AI integrated into operational workflows rather than layered onto broken processes
- Improved organisational scalability and execution capability
- Foundation established for long-term AI-enabled operating model transformation
TECHNOLOGY PARTNERS
Infrastructure stack
- AI-assisted workflow automation platforms
- Consolidated operational SaaS environment
- Operational visibility and reporting layer
- Governance and accountability framework
THE NEXT STEP
Book a Critical Systems Review of your business.
We will look at where your infrastructure stack stands today, identify the gaps, and tell you straight what needs to change.