Services

Four areas of work, one way of running them

Every project starts by mapping what you have, because changing systems nobody has written down is where modernization goes wrong. Each area of work ends with a written check that has to pass before the next one starts.

Pillar

Secure Cloud Modernization

Moving your systems onto supported cloud or hybrid platforms, in the order the assessment sets. Nothing goes live until it meets a written security standard.

  • Azure, Microsoft 365 and hybrid architecture design with target-state blueprints
  • Migration of legacy infrastructure to cloud or hybrid environments
  • Identity consolidated onto a single directory with strong authentication and conditional access
  • Multi-site network standardization
  • A written security baseline (identity, access, logging, backup, segmentation) agreed before the stage starts
  • Rollback tested before every cut-over

The rule

No workload is cut over until it meets its baseline. A workload that cannot meet it stays where it is and is recorded as a risk accepted in writing by the accountable owner. The baseline does not move to meet the workload.

Pillar

Infrastructure Automation

Servers, updates and monitoring set up as code, so the environment stays consistent and your staff or your IT provider can run it without late nights.

  • Infrastructure as code with Terraform on Azure
  • Automated provisioning, patching and configuration management
  • Standardized deployments across business locations
  • Monitoring and configuration-drift detection
  • Delivery pipelines for infrastructure changes
  • An AI use-case register: each candidate recorded with its data and its worst-failure definition

The rule

Candidates for AI-enabled automation are listed in this stage; none is enabled here. Components that cannot sensibly be codified get a manual runbook and a flag in the handover pack.

Pillar

Secure Cloud-Native Architecture

New cloud systems designed with sign-in controls, network separation, logging, backups and recovery from day one, not added later.

  • Identity and access management and zero-trust principles applied from the first design
  • Network segmentation, encryption in transit and at rest, and continuous security monitoring
  • Backup and disaster recovery designed and tested, not assumed
  • Resilient application architectures with defined recovery objectives
  • Delivery pipelines with policy-as-code guardrails
  • Automated compliance validation against the agreed baseline

The rule

Architecture decisions are recorded as they are made, so that the organization can read why its systems look the way they do after the engagement ends.

Pillar

Cybersecurity and AI Governance

Close the security findings that matter, harden Microsoft 365 and sign-in, and make your systems safe for AI before any AI tool is switched on. Then put AI to work only where it has passed a written safety test. Four parts, run in order.

  1. Security remediationVulnerability and penetration-test findings closed to an agreed severity threshold, privileged access hardened, backup and recovery confirmed. Anything above the threshold is closed or risk-accepted in writing.
  2. Data governance gateWho can see what is fixed before any AI capability is enabled: access rationalization, sharing-link posture, sensitivity labeling and loss-prevention policy. Staff get a written AI use policy that sets which tools are approved, what information may go into them, when a person must review the output, and how use is monitored.
  3. Safety-first evaluationEach proposed AI use is tested against the mistakes that would hurt the business most. Catching those comes first; accuracy, cost and speed are weighed after. A version that flags too much is preferred to one that misses. If no version passes, the use waits, and the bar is not lowered.
  4. Bounded enablementAI tools get the least access the job needs: read-only wherever possible, one logged route where they must change anything, a record of every action, and a tested way to undo it.

Two lanes

Two lanes are offered downstream of the same gates. Safe acceleration: build and enable under the method. Independent assurance: verify what others built, including a vendor's or reseller's AI deployment. The AI gates can be bought on their own as an assurance engagement.

Commercial shape

How engagements are shaped

In every engagement the signed statement of work governs scope, and the exit gates are written into it. Before work starts, a baseline is recorded in business terms: unplanned downtime, hours spent on manual IT work, time to recover from an incident, and which AI tools are in use under written controls. The same figures are measured again at handover.

  • Scoped assessment

    Stage one and the roadmap. Quoted in writing up front, one written report.

  • Project delivery

    Stages two to five scoped from the roadmap, individually or together, each with its exit gate in the statement of work.

  • Retained architecture

    Part-time access to a senior architect for organizations that need one and cannot justify a full-time hire. Includes a scheduled re-assessment against the stage-one baseline.

  • Independent assurance

    The governance gate and the safety-evaluation gate applied to an AI deployment someone else built, with a written finding your leadership can act on.

  • Working with your IT provider

    If an outside firm already runs your IT, Casey Technologies works alongside it. Day-to-day support stays with your provider, and the findings and handover pack are written so your provider can act on them.

Start with a scoping call

Thirty minutes with Matt. Tell him what you are trying to fix, roughly how many people and locations you have, and whether an outside firm runs your IT today. You will leave knowing where to start and what it would cost. The call is free, with no obligation.

Request a scoping call