Advisory services
Strategy from the people who will build it and run it.
Cloud and AI strategy for regulated and mission-critical enterprises. Determine where workloads belong, which AI use cases will pay back, how to govern them and what it takes to move from pilot to production. Our recommendations come from the engineers who will be accountable for operating the result.
Everyone is selling AI. Few are accountable for what happens next.
How we think about AI
Three levels of AI impact, and what each one needs underneath it
Most organizations are somewhere on this path. Advisory starts by deciding which level each initiative belongs at, what it will return and what it requires in data, infrastructure and governance.
Level 1
Efficiency
AI assists what people already do in HR, finance, legal, support and IT. Real value, quickly, on systems still designed for a person with a login.
Level 2
Workflow automation
Processes redesigned so systems talk to systems and agents make decisions inside defined limits. Where the operating model and governance questions get serious.
Level 3
Core business reimagination
Supply chain, clinical operations, lending and manufacturing rebuilt around what machines can do. The highest return, and the level that depends most on getting the foundation right.
AI advisory
From use case identification to governed AI solutions in production
Expert guidance to help you decide where AI will pay back, how it will be governed and what it needs underneath it.
AI strategy and use case prioritization
Readiness assessments and working sessions that surface use cases with defined business impact, then rank them by return, feasibility and risk.
AI governance and
responsible AI
Policy, controls, model and data governance, and audit evidence designed for regulated environments, so AI clears compliance review rather than stalling in it.
Data and infrastructure
readiness for AI
Gap analysis and roadmap for the data foundation and the governed infrastructure AI depends on: quality, lineage, access, placement and the platforms that make it run at scale.
Cloud strategy and operating model planning
We understand the foundations that AI strategy depends on.
Cloud and infrastructure strategy
Workload-by-workload placement across private, public and sovereign environments, assessed on cost, performance, data residency and operational fit.
Application modernization
Process First. Technology Second. A prioritized path through your application estate, led by the business processes that matter most.
Operating model, cost and risk
Governance structures, FinOps, security and risk assessment, and integration planning for mergers and acquisitions.
How we deliver
From idea to production, with the same team accountable throughout
Rackspace advisory is delivered by the same organization that operates the result, drawing on 25 years of running mission-critical environments. Each stage hands directly into the next.
01 · Assess
Diagnose and prioritize
Readiness assessments, working sessions and strategy reviews that produce a ranked plan with business cases attached.
02 · Prove
Pilot and Test
Co-create the first solution with your team, establish the technology stack and validate the business case against real data.
03 · Deploy
Put into production
Rackspace Forward Deployed Engineers embed in your environment to build, govern and deploy on infrastructure designed for regulated workloads.
04 · Operate
Run and improve
Day-to-day operations, cost and reliability owned by Rackspace, with learning fed back into the next use case.
Branchen
Bewährte Expertise für Branchen, in denen es um das Höchste geht
Healthcare
Epic and clinical platforms kept available, patient data protected, and a governed foundation ready to move AI from pilot to the point of care.
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Financial services
Core banking and payments modernized with proven recovery, data control and the audit evidence regulators expect, so AI can follow safely.
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Public sector
Sovereign, accredited cloud for citizen services, run by cleared teams, with the control to modernize today and adopt AI when you’re ready.
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The Rackspace Technology team’s approach was fantastic. They have people who deeply know what they're talking about when it comes to AI and generative AI.
Alistair Gilbert
VP, Platform Engineering
EXPLORE MORE SOLUTIONS
Advisory is just the beginning
Strategy is the first step. Our services help you manage and operate solutions on day 2 and beyond.
Enterprise AI Cloud
The governed infrastructure, platforms and engineers that take AI from pilot to production.
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Migration and Modernization
Workload placement decisions carried through to migration and ongoing operations.
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Managed Operations
Infrastructure and applications run 24x7x365, with one team accountable for the result.
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Start with the decision in front of you.
Talk to a Rackspace advisor about where AI and cloud should take your business next, and what it will take to get there.
FAQ
Common questions about AI and cloud advisory
What are Rackspace's Advisory Services?
Rackspace Advisory Services cover cloud and AI strategy for enterprises: AI use case prioritization and governance, cloud and infrastructure strategy across private, public and sovereign environments, data readiness, application modernization, operating model design, cost optimization, security and risk assessment, and integration planning for mergers and acquisitions.
Does Rackspace offer AI advisory services?
Yes. Rackspace AI advisory covers readiness assessment, use case identification and prioritization, AI governance for regulated environments, and the path from a first proven solution to production. It is delivered by Rackspace, the operator of the full enterprise AI stack from governed private cloud to AI inference and agents in production, with Forward Deployed Engineers carrying approved use cases into live operation.
How is Rackspace advisory different from a consulting firm or systems integrator?
Rackspace advisers are operators. The same company that recommends an architecture, a use case or a governance model builds it, runs it in production and stays accountable for cost, reliability and compliance. Recommendations are written to be operated, not handed off.
Does Rackspace recommend private cloud or public cloud?
Whichever fits the workload. Rackspace operates Amazon Web Services (AWS), Microsoft Azure, Google Cloud and Rackspace Private Cloud, and assesses each workload on data sensitivity, compliance, performance and cost. Most enterprises end up with a mix.
Which industries does Rackspace advise?
Rackspace advises organizations across all industries, especially on workload strategy, modernization and AI. Its deepest experience is in regulated and mission-critical sectors, including healthcare, financial services and public sector, alongside energy, manufacturing, retail and technology.
How does an advisory engagement start?
Typically with an AI readiness assessment or a cloud strategy assessment, followed by a working session that produces a prioritized plan with business cases. From there, Rackspace can prove a first solution, take it to production and operate it.