Route: Transform · AI Accelerator

AI Accelerator for practical, governed AI adoption.

Altiatech helps organisations move from AI interest to practical use cases, readiness checks, governance decisions and an adoption roadmap that can be delivered, measured and improved over time.

AI readiness Use-case roadmap Governance-led adoption
AI readiness board

Turn AI ambition into a controlled adoption pathway.

Governed
01 Readiness and foundations Review data, platforms, access, governance and operating constraints. Assess
02 Use-case prioritisation Identify practical AI opportunities based on value, risk and complexity. Shape
03 Roadmap and adoption plan Define next steps, governance actions, delivery priorities and success measures. Plan
Assess Prioritise Govern Adopt

AI adoption pathway

A practical route from AI ideas to governed adoption.

The AI Accelerator helps organisations move beyond experimentation by assessing readiness, selecting credible use cases, defining governance requirements and shaping a roadmap that can be delivered with control.

01 Assess readiness

Understand the current environment

Review business priorities, data considerations, platforms, access controls, security requirements and operational constraints before deciding where AI should be applied.
Outputs
  • Readiness view
  • Risk and constraint notes
  • Foundation priorities
02 Prioritise use cases

Choose where AI can add practical value

Identify candidate use cases, compare potential value against complexity and risk, and focus on the opportunities that are most credible for the organisation.
Outputs
  • Use-case shortlist
  • Value and complexity view
  • Recommended starting points
03 Define governance

Set the controls before adoption scales

Shape the policy, identity, access, data, security and reporting considerations needed to support safer AI adoption across teams, workflows and systems.
Outputs
  • Governance actions
  • Access and identity considerations
  • Adoption guardrails
04 Create the roadmap

Move from plan to measurable adoption

Define the next steps, ownership, success measures, delivery priorities and improvement path so AI adoption can move forward with control and purpose.
Outputs
  • Adoption roadmap
  • Success measures
  • Next-step delivery plan

The accelerator creates a decision path. It helps teams decide what to do first, what to control and how AI adoption should connect into wider cloud, security and managed service priorities.

Practical AI, governed from the start

Transition into service

A controlled path from current state to managed operation.

Managed Services works best when transition is structured. Altiatech uses a practical onboarding route to understand the environment, transfer knowledge, set governance and move into a steady operating rhythm.

Transition runway

Four stages to establish a reliable managed service.

The aim is to reduce ambiguity before Altiatech takes on live service responsibility.

01 · Scope Define the service boundary Confirm the systems, users, priorities, risks, suppliers, support hours and responsibilities included in the managed service. Output Agreed service scope and responsibility map.
02 · Transfer Capture knowledge and context Gather documentation, access requirements, known issues, support patterns, operational risks and current service knowledge. Output Knowledge base, access plan and service context.
03 · Onboard Set the operating model Establish routes for support, escalation, monitoring, reporting, service reviews and improvement planning. Output Support model, reporting rhythm and governance setup.
04 · Stabilise Move into steady service Monitor early performance, close transition gaps, refine reporting and move into the regular run and optimise cadence. Output Live service rhythm and first improvement backlog.

Already running a service internally? Altiatech can help stabilise, formalise or augment the existing model rather than replacing everything at once.

Discuss transition

Operational coverage

One managed service model, applied across the technology estate.

Altiatech can support the operational layer around multiple technology areas. The exact scope is agreed during transition, but the model is designed to connect support, governance, security and optimisation rather than treating each area in isolation.

Service area
Run
Secure
Govern
Optimise
Workplace End user and productivity
Support users Requests, incidents and support.
Protect access Identity and device controls.
Review usage Reporting and adoption visibility.
Improve adoption Productivity improvements.
Cloud Cloud and infrastructure
Operate platforms Live cloud and infrastructure support.
Reduce risk Configuration and resilience checks.
Control change Change control and reporting.
Improve performance Reliability, scale and cost.
Identity Access and identity
Manage access Joiners, movers and leavers.
Strengthen control Identity governance support.
Evidence decisions Access ownership and review.
Refine controls Prioritised access improvements.
Cost Cloud, AI and licensing spend
Track usage Spend and licence visibility.
Control exposure Waste and unmanaged growth.
Create accountability Forecasting and showback.
Optimise spend Aquila-powered visibility.

End user and productivity

Support users Protect access Review usage Improve adoption

Cloud and infrastructure

Operate platforms Reduce risk Control change Improve performance

Access and identity

Manage access Strengthen control Evidence decisions Refine controls

Cloud, AI and licensing spend

Track usage Control exposure Create accountability Optimise spend

Operational outcomes

Move from reactive support to managed improvement.

A managed service should do more than keep the lights on. It should make service ownership clearer, give stakeholders better visibility and create a practical route to improve reliability, control, security and cost over time.

Before

Reactive technology support

Common when ownership, reporting and improvement routines have grown around the business rather than being designed deliberately.

! Unclear ownership Users and stakeholders are not always sure who owns the service or escalation route.
! Repeated issues Recurring problems are handled case by case rather than being reviewed and reduced.
! Limited reporting Decisions are made with partial visibility of service health, trends, risks and cost.
! Improvement gets delayed Security, productivity, cloud and cost actions compete for attention without a shared rhythm.
After

Managed service rhythm

A clearer operating model where support, governance, reporting and optimisation are connected through agreed service routines.

Defined service ownership Clear responsibilities, support routes, escalation paths and stakeholder routines.
Patterns become visible Recurring issues, risks and improvement opportunities are captured and reviewed.
Evidence-led decisions Service reporting supports better conversations around priority, risk and investment.
Continuous improvement Improvements are prioritised across reliability, control, productivity, security and cost.
What improves

Practical outcomes across the service, not isolated fixes.

The Managed Services model gives clients a more structured way to run technology, manage risk and keep improvement visible after transition.

Reliability Clearer support routines and fewer unknowns. Control Better visibility of ownership, risk and change. Security Identity and cyber considered within live operation. Cost Spend visibility and optimisation kept in view.

Engagement models

The right level of ownership depends on how your team already operates.

Managed Services does not have to mean handing over everything. Altiatech can provide targeted support, co-managed operations or a fuller managed service model depending on the environment, internal capability and business need.

Model 01

Augmented support

Add Altiatech capability around an existing internal team where extra expertise, capacity or governance support is needed.
Best fit

You already have an IT team, but need additional support across cloud, productivity, identity, cyber, optimisation or service reporting.

Typical outputs
  • Extra specialist capacity
  • Improved escalation support
  • Better service visibility
Model 02

Co-managed service

Share operational responsibility with clear boundaries, reporting routines and escalation paths across internal teams, suppliers and Altiatech.
Best fit

You need a more structured operating model, but want to keep internal ownership for some systems, users or business-critical decisions.

Typical outputs
  • Shared responsibility map
  • Governed operating cadence
  • Clear reporting and reviews
Model 03

Fully managed operating layer

Establish Altiatech as the managed service layer responsible for day-to-day support, service routines, reporting, governance and improvement planning.
Best fit

You need a clearer partner-led service model with operational ownership, service management discipline and a route to continuous improvement.

Typical outputs
  • Managed support model
  • Service governance and reporting
  • Improvement backlog and roadmap

The model can evolve. A client may begin with augmented support, move into a co-managed rhythm, then expand into a fuller managed operating layer as the requirement matures.

ATRO supports each route

Managed Services FAQs

Questions buyers usually ask before moving into managed service.

Managed Services can be shaped around different levels of ownership, maturity and internal capability. These answers explain how the model works before you begin a scoping conversation.

What is included in Altiatech Managed Services?

The exact scope is agreed during transition, but it can include service desk support, operational monitoring, reporting, escalation, governance, documentation, service reviews and improvement planning across areas such as cloud, productivity, identity, cyber security and optimisation.

Do we need to outsource everything?

No. Managed Services can be delivered as augmented support, a co-managed model or a fuller managed operating layer. Altiatech can work alongside internal teams and existing suppliers where that is the best fit.

How does the transition into service work?

Transition usually starts with defining the service boundary, capturing knowledge, confirming access and escalation routes, setting reporting routines and stabilising the early service period before moving into regular run and optimise cadence.

Can Altiatech support our existing IT team?

Yes. The service can add specialist capacity, governance, escalation support, reporting discipline or improvement planning around an existing internal team. This is useful where internal ownership should remain, but additional capability is needed.

Where do cloud, identity and cyber security fit?

They can sit within the managed operating layer where relevant. Altiatech can connect support, governance, access control, security monitoring, cloud operations and improvement actions so these areas are not treated as disconnected workstreams.

How does optimisation fit into Managed Services?

Optimisation is part of the ongoing service rhythm. This can include improving reliability, reducing risk, strengthening identity controls, improving user productivity and improving visibility of cloud, AI or licensing spend where relevant.

What happens after a scoping call?

The next step is usually to define the current state, agree the service requirement, confirm the right engagement model and identify the transition steps needed before the managed service begins.

Ready to define the managed service model?

Talk to Altiatech about the right managed service model for your organisation.

Bring the current pressure point, whether it is support, service visibility, cloud operations, identity, cyber risk, productivity or cost control. Altiatech can help shape the next practical step.

Assurance signals

Practical assurance for governed technology delivery.

Altiatech supports organisations that need clear routes to market, service management discipline and delivery models that can be shaped around governance, procurement and operational control.

Framework and accreditation wording should be confirmed before final publication. Avoid implying G-Cloud 15 award or live availability until confirmed.

Service assurance ISO/IEC 20000 audit concluded Service management assurance signal for operational delivery.
Cloud route G-Cloud 14 Route for relevant cloud, software and support requirements.
Technology services Technology Services 4 route Route for broader technology service requirements.
Pending status G-Cloud 15 status to confirm Status should be checked before launch or procurement use.