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Managed AI, Data & Cloud Services / SUB-PRACTICE 11.12 NEW FOR 2026-27

Managed AI Services.

Every Managed AI Services service AI Solution Technologies delivers — 4 in total, within the Managed AI, Data & Cloud Services practice.

Book a scoping call →See how it runs
Continuous evaluation rather than one-off testingModel and prompt lifecycle managementCost attribution and optimisationGovernance evidence produced as a by-product
BUILT ON
MicrosoftAzureAWSGoogle CloudDatabricksSnowflake

The problems Managed AI Services exists to solve.

AI systems deployed and then left unattended
Model and agent performance degrading without anyone noticing
Running cost that nobody owns
No reporting on whether the AI is still delivering the promised benefit

What is Managed AI Services?

SENIOR-LEDMonitoring, alerting and on-call coverage
PRODUCTION-READYRegular evaluation against agreed measures
KPI-DEFINEDModel, prompt and agent maintenance

Get a free discovery sprint

Before you commit, we help you confirm the use case, check data readiness, define the KPI, and work out which of the 4 Managed AI Services services actually fit the problem you have.

For a limited number of teams each quarter, we run the full sprint free of charge.

Claim a free sprint →
THIS SUB-PRACTICE
4SERVICES
2NEW FOR 2026-27
7STAGE DELIVERY

How Managed AI Services runs.

01
Confirm objectives, stakeholders, constraints and success measures
Review current systems, data, controls and delivery readiness
Prepare the target design, backlog, governance and implementation plan
Test the priority requirements through a prototype, pilot or controlled design review
Configure, integrate, test and deploy the approved solution
Train users, transfer knowledge and establish operating procedures
Monitor adoption, performance, cost, quality and improvement opportunities
KEY CAPABILITIES

What we bring to Managed AI Services.

  1. 01Continuous evaluation rather than one-off testing
  2. 02Model and prompt lifecycle management
  3. 03Cost attribution and optimisation
  4. 04Governance evidence produced as a by-product of operation
  5. 05Defined service levels with monthly reporting

What you get, and what follows

DELIVERABLESMonitoring, alerting and on-call coverageRegular evaluation against agreed measuresModel, prompt and agent maintenanceCost reporting and optimisation actionsMonthly service report and improvement backlogIncident management and escalation
BUSINESS OUTCOMESAI that keeps working after the project team leavesDegradation detected and corrected earlyPredictable, reported running costContinuing evidence for governance and auditBenefit sustained rather than eroding

The 4 services inside Managed AI Services.

4 SERVICES · 2 NEW
AI System MonitoringContinuous monitoring of AI system availability, performance, cost and output quality.Model MonitoringMonitoring of model accuracy, drift, data quality and fairness in production, with retraining triggers.Managed GenAI OperationsNEWOngoing operation of generative AI systems covering prompt maintenance, model upgrades, evaluation and cost control.Managed Agent OperationsNEWOngoing operation of an agent estate covering monitoring, evaluation, permission review, incident response and reporting.
INVESTMENT & DELIVERY

How we engage on Managed AI Services.

INDICATIVE VALUE
Monthly retainer, A$7,500 – A$25,000 per month
The bands across these 4 services. Each service page carries its own; the scoping call confirms the range for your environment before anything is committed.
DELIVERY MODELS
Managed-service retainer with agreed service levels
Delivered by a senior-led Australian team across 7 stages, from discovery through to optimisation.Discuss scope and timing ›
WHO THIS IS FOR
  • Banks, insurers, superannuation funds and professional-services firms
  • Government agencies and regulated public-sector bodies
  • Large enterprises and mid-market organisations undergoing modernisation
  • Utilities, energy and resources operators

What our customers say.

All customer stories
"Reconciliation that took our team nine days now closes in three — with a full audit trail on every match. It changed how the board sees AI.
Finance ManagerGCC Construction Group, Dubai
"Site teams stopped digging through folders. They ask the assistant, they get the clause with a citation, and they move on.
Project DirectorTier-One Contractor, Sydney
"The anomaly models flag outliers the week they appear, not at quarter-end. We stopped two overruns before they hit the P&L.
Commercial DirectorProperty Developer, Dubai
"Seven subsidiaries of spreadsheets became one governed reporting platform. The executive finally trusts the numbers on the screen.
Group CFOInfrastructure Holding, Riyadh

Our partnerships with
industry leaders

MicrosoftSolutions Partner
Google CloudPartner
SalesforcePARTNER
AWSpartner
network

Elsewhere in Managed AI, Data & Cloud Services.

The whole practice →
SUB-PRACTICE 11.2Managed Data & Analytics5 services · 2 newExplore ›SUB-PRACTICE 11.3Managed Cloud & Application Services5 servicesExplore ›SUB-PRACTICE 11.4Engagement Models6 servicesExplore ›SUB-PRACTICE 11.5Business Enablement5 servicesExplore ›

Scope Managed AI Services in one call.

Tell us the problem. We'll tell you which of the 4 services fit — and exactly how we'd deliver them.

Book a scoping call →
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