Managed Services
AI and IT, run for you, and improving every month.
One accountable team to operate, support and improve your AI and IT, so your people can focus on the business. Delivered by GoGenesis directly or through contracted specialists, on your cloud or on-premises.
AI-first operations·Humans in the loop·Your cloud or on-premises·AI service desk in any language·Predictable or outcome-linked pricing·Your team certified to take over
Sound familiar?
What we hear from teams running AI and IT today.
"Our ICT team is small and stretched."
"We need SAP, SCADA or integration specialists, but not full-time."
"Who keeps the models accurate after the pilot?"
"Our Centre of Excellence stalled because everyone still had a day job."
"Support for AI tools doesn't fit our current service desk."
"We can't prove the value we're getting each quarter."
Two tracks
Built for your size of business.
Choose your track to see the scope, the recommended tier and how you can pay.
About 50–2,000 employees
Big-firm capability, without big-firm overhead
- →One named service lead and one team for AI, IT and security.
- →An AI service desk in any language, plus Microsoft 365, cloud, endpoint and identity support.
- →Security monitoring.
- →Your first AI use case run and improved for you.
- →Data integration across your tools: ERP, CRM, finance and M365.
- →Fixed monthly fee and no surprise bills.
- →A quarterly strategy and roadmap session.
- →Start small and add services as you grow.
Recommended tier
Run
Run, or Run & Improve once AI use cases are live
Commercial model
Fixed monthly fee, with an optional hours bank for specialists.
Service catalogue
Everything we can run for you.
Filter by area. Items tagged Powered by AI are run by AI agents with people approving the decisions that matter.
AI & Data · 8
- Model operations (MLOps)Powered by AI
Deployment, versioning, rollback and platform operations for your models.
Learn more → - Drift monitoring and retrainingPowered by AI
Accuracy and drift watched; champion/challenger retraining when needed.
- AI agent and copilot operationsPowered by AI
Agents and copilots kept accurate, safe and supported after launch.
Learn more → - Data pipeline operationsPowered by AI
Pipelines monitored and recovered before users notice.
- Data quality and master data
Quality rules, fixes and stewardship with your data owners.
- Data integration across systems
ERP, CRM, finance and M365 data connected and kept in sync.
- Analytics and BI operations
Dashboards and reports, including Power BI, kept current and correct.
- AI governance and model-risk support
Model inventory, validation evidence and audit packs, designed to support SR 26-2, the EU AI Act and ISO/IEC 42001.
IT & Cloud · 6
- AI service desk (L1–L3, multilingual)Powered by AI
An AI agent triages and resolves common requests; people handle the rest.
- Microsoft 365, SharePoint and Copilot administration
Tenancy, sites, licences and Copilot rollout run for you.
- Azure and AWS cloud operations and FinOps
Cloud run day to day, with spend reviewed and tuned.
- Infrastructure and network monitoring (AIOps)Powered by AI
Anomaly detection spots issues before they become incidents.
- Identity and endpoint management
Joiners, movers, leavers, devices and access kept tidy.
- Backup and disaster recovery
Backups checked and recovery tested on a schedule.
Cybersecurity · 5
- Security monitoring and alert triagePowered by AI
Alerts watched and triaged, with escalation to your team.
Learn more → - Vulnerability management
Findings prioritised by risk and tracked to closure.
Learn more → - Identity security
Privileged access, MFA coverage and risky sign-ins reviewed.
Learn more → - Phishing and brand-impersonation monitoringPowered by AI
Look-alike domains and phishing campaigns detected and actioned.
Learn more → - Fraud and cyber signal fusionPowered by AI
Fraud and cyber signals combined for earlier detection.
Learn more →
Applications (AMS) · 8
- SAP (PM, MM, PS, FICO)
Functional and technical support, enhancements and interfaces.
- Oracle
Application support, patches and enhancements.
- Microsoft Dynamics
Support, configuration and integration.
- Workday
Configuration, reporting and release support.
- ServiceNow
Platform administration, workflows and upgrades.
- Salesforce
Administration, flows and integration support.
- Integration and MuleSoft
APIs and interfaces monitored and fixed.
- Release and change management
Releases planned, tested and deployed with control.
Business processes · 9
- Accounts payable and invoice processingPowered by AI
Invoices captured, matched and routed; people approve exceptions.
Learn more → - Procurement analytics and spendPowered by AI
Spend classified and savings opportunities surfaced.
Learn more → - Document processingPowered by AI
Claims, loans, contracts and bills of lading read and checked, with human approval.
Learn more → - KYC, AML and fraud alert operationsPowered by AI
Alert queues worked for banks, with AI triage and analyst sign-off.
Learn more → - Customer-service AI agent and contact-centre supportPowered by AI
AI agents answer routine queries; agents handle the rest.
- Finance close and reporting supportPowered by AI
Reconciliations and reporting packs prepared for review.
- Mortgage and loan processingPowered by AI
Applications checked and packaged for underwriter decisions.
Learn more → - Medical billing and revenue-cycle supportPowered by AI
Coding and claims support with human review.
Learn more → - Engineering documentation (CAD and BIM)
Drawings and models produced and maintained to your standards.
Learn more →
Industrial operations · 4
- Historian, SCADA and OT data monitoringPowered by AI
Plant data feeds watched for gaps and anomalies.
Learn more → - Predictive-maintenance operationsPowered by AI
Asset models run, retrained and turned into work orders.
Learn more → - Digital twin operationsPowered by AI
Twins kept in sync with the plant and used for decisions.
Learn more → - Quality analytics operationsPowered by AI
Quality models and dashboards run for production teams.
Learn more →
Why GoGenesis Managed Services
A different way to run AI and IT.
Comparison reflects common industry models, not any specific provider.
Six service pillars
Everything after go-live, run by one accountable team.
Delivered by GoGenesis directly or through contracted specialists. Our platform partners supply technology; we run the service.
AI Operations (AIOps & MLOps)
Your models monitored, retrained and improved after go-live, so accuracy never quietly decays.
- →Model monitoring for accuracy, drift, stability and false-positive rates.
- →Scheduled retraining, with champion/challenger testing: a new model goes live only if it beats the current one.
- →Model versioning and rollback.
- →MLOps platform operations on Azure, AWS or on-premises.
- →Cost and performance tuning.
- →Monthly model-health reports.
Powered by · Model-health and drift monitor · Automated runbooks
Data operations
The pipelines, data quality and integrations your AI depends on, watched and fixed before users notice.
- →Pipeline monitoring and recovery.
- →Data-quality rules and fixes.
- →Master-data stewardship with your data owners and delegates.
- →Integration support, for example MuleSoft, APIs and SAP interfaces.
- →Dashboard and report operations, including Power BI.
Powered by · AIOps anomaly detection · Automated runbooks
AI support desk, 1st / 2nd / 3rd line
Support built for AI tools, from "why did the AI say this?" to engineering fixes and root-cause analysis.
- →Defined severity levels and SLAs, agreed per contract and reported monthly.
- →1st line: user questions, access, and "why did the AI say this?"
- →2nd line: incidents, data issues and integration errors.
- →3rd line: engineering fixes, model changes and root-cause analysis.
- →Runbooks and post-incident reviews.
- →Your own staff can be certified through the GoGenesis AI Academy (L1, L2, L3) and take over lines over time.
Powered by · AI service-desk agent · Knowledge copilot for support staff
Specialists on demand
The specialists you need, when you need them, without a full-time hire.
- →Contracted engineers and specialists through an hours bank or dedicated pods: SAP (PM, MM, PS, FICO), SCADA/OT and historians, MuleSoft/integration, data engineers, data scientists and ML engineers, Azure/cloud, Power BI, and RPA and automation.
- →Two-in-a-box knowledge transfer: every specialist pairs with one of your people.
Powered by · Knowledge copilot for support staff · Value tracker
IT managed services, AI-powered
Everyday IT run with AI built in, so common requests resolve themselves and issues surface early.
- →Service desk with an AI agent: multilingual ticket triage, auto-resolution of common requests and knowledge search.
- →Microsoft 365, SharePoint and Copilot administration.
- →Identity and endpoint management.
- →Cloud operations and FinOps.
- →Infrastructure and network monitoring with AIOps anomaly detection.
- →Application support (SAP and ERP).
- →Backup and disaster-recovery checks.
- →Security operations support: alert monitoring and vulnerability management.
Powered by · AI service-desk agent · AIOps anomaly detection · Automated runbooks
AI Centre of Excellence as a service
A dedicated GoGenesis team runs your CoE, so it doesn't depend on people's spare time.
- →Use-case pipeline and value gates.
- →Governance pack: model inventory, validation evidence and audit packs, designed to support SR 26-2, the EU AI Act and ISO/IEC 42001.
- →Quarterly value reviews against the agreed value formula.
- →Micro-training: 1–2 hour sessions through the Academy.
Powered by · Value tracker · Model-health and drift monitor
Also available
Document and process operations
Document AI, accounts-payable automation and back-office processing, run as a service with human review where it matters.
Better than a normal MSP
The AI tools that power the service.
AI service-desk agent
Triages tickets in any language, resolves common requests and hands the rest to the right line.
Model-health and drift monitor
Watches accuracy, drift and false positives, and triggers retraining or rollback.
AIOps anomaly detection
Spots unusual patterns in infrastructure, pipelines and applications before users do.
Automated runbooks
Turns known fixes into repeatable, audited actions.
Knowledge copilot for support staff
Puts runbooks, past incidents and documentation one question away.
Value tracker
Shows realised value against the business case, every month.
AI ticket triage
IllustrativeType a support request in any language. The AI agent sets severity, routes it to L1, L2 or L3 and suggests a first fix.
Demo only: requests aren't stored or sent to a real service desk. Severity and routing rules are agreed per contract.
Model-drift monitor
IllustrativeWeekly accuracy for a sample model against its agreed threshold.
Healthy: within threshold. Next scheduled retrain in the monthly cycle.
Monthly service report
IllustrativeA sample one-page report. All values are illustrative sample data, not results.
Service report · Sample month
Illustrative
SLA attainment by severity
P1
100%
P2
97%
P3
95%
P4
98%
Incidents by line
Model health
- Fraud scoringHealthy
- Demand forecastRetrained
- Document readerHealthy
Value realised
62% of the quarterly value target realised
Glass-box service portal
See exactly what you're paying for.
Share of tickets resolved within the agreed SLA, by month (example).
Every engagement can include a live portal so you see exactly what you're paying for.
Value and impact
What changes when we run it.
Predictable monthly cost instead of hiring peaks
Models that stay accurate
Faster incident resolution
Your team freed for the business
One accountable partner and contract
Skills transferred, not locked in
Measured value every quarter
Systems we keep running in production
~6M card transactions scored per day in ~15 ms
Real-time fraud engine
NoteResults from deployments by GoGenesis and its platform partners. Outcomes vary by portfolio and operating environment; your results are set in the pilot.
Value calculator
Estimate the capacity you'd get back.
Enter your own figures. Every assumption is shown and editable.
Business size (sets starting values; all editable)
Specialist roles and hours per month
Assumptions (edit to match your organisation)
Estimate based on your inputs
Your estimate is ready: FTE capacity freed, hours of specialist cover and the cost of doing nothing.
Enter your email to see the full breakdown, then pick a time for a 15-minute intro if you'd like.
Engagement models
Start with Run. Grow into Improve and Scale.
Run
Keep it running, reliably.
- →Monitoring of models, data and systems
- →L1–L2 support
- →Monthly service report
Run & Improve
Keep it running and getting better.
- →Everything in Run
- →L3 engineering support
- →Scheduled retraining
- →Champion/challenger testing
- →Quarterly value reviews
Run, Improve & Scale
Grow what works.
- →Everything in Run & Improve
- →AI Centre of Excellence as a service
- →New use-case pipeline
- →Dedicated pods
Specialists on demand
An hours bank of contracted specialists, added to any tier.
How you can pay
Fixed monthly
Predictable, scoped per tier.
Hours bank
Specialists on demand.
Outcome-linked
Part of the fee tied to agreed KPIs, such as SLA attainment, tickets auto-resolved or value delivered.
Build-Operate-Transfer
We build and run it, then hand it to your team.
Gain-share on measured savings
For business-process scopes.
Final commercials are agreed per scope. No prices are published.
Scope builder
Build your managed-service scope in five steps.
Get a recommended tier and a draft scope you can download, then pick a time to talk it through.
- 1. Business size
- 2. Areas
- 3. Environment
- 4. Team
- 5. Contact
Transition and transfer
A structured takeover, and a way back to your team.
Whether you're moving from an in-house team or another provider.
Step 1
Discovery and service baseline
Map systems, models, data flows, tickets and support paths; agree the baseline we report against.
Step 2
Knowledge capture and runbooks
Capture know-how from your team or current provider and turn it into written, tested runbooks.
Step 3
Shadow and reverse-shadow
Two-in-a-box: we shadow your team, then your team shadows ours before responsibility moves.
Step 4
Go-live with SLAs
Severity levels and SLAs agreed in the contract take effect, visible in the service portal.
Monthly
Monthly improvement
A proactive improvement backlog: automations, fixes and model updates shipped every month.
Quarterly
Quarterly value review
Value measured against the agreed formula; roadmap and priorities reset with your leadership.
Optional
Transfer to your team
When you're ready, we hand the service over, with your staff certified through the GoGenesis AI Academy.
FAQ
Managed Services questions
Do you work on our cloud?
Yes. We operate on your Azure or AWS tenancy, on-premises or hybrid. Hosting, access and data residency are agreed with your CISO before any data moves.
Who owns the data and models?
You do. Your data, models, runbooks and documentation stay yours, and everything we build is handed over in a usable form.
Can our staff take over later?
Yes, and we plan for it. Two-in-a-box pairing transfers skills from day one, and your staff can be certified through the GoGenesis AI Academy (L1, L2, L3) to take over support lines over time.
How are SLAs set?
Severity levels and SLA targets are agreed per contract during discovery, based on your systems and coverage hours, and reported every month.
Do you support non-AI IT?
Yes. IT managed services cover the service desk, Microsoft 365, identity and endpoints, cloud operations, infrastructure monitoring, SAP and ERP application support, backup checks and security operations support.
What languages?
AI service desk and training in any language; human support languages agreed per contract.
How fast can you start?
Onboarding starts with a two-week discovery and runbook phase, followed by two weeks of shadowing before go-live. Exact dates are set in the proposal.
Do you work with mid-size companies?
Yes. The mid-size track gives companies of roughly 50 to 2,000 employees one named service lead and one team for AI, IT and security, on a fixed monthly fee, starting small and adding services as you grow.
Can you take over from our current provider?
Yes. A structured transition captures knowledge from your current provider or team into runbooks, then runs shadow and reverse-shadow before go-live with SLAs agreed in the contract.
What is Build-Operate-Transfer?
We build the service, run it to the agreed standard, then transfer it to your team, with runbooks, two-in-a-box pairing and Academy certification. A Build-Operate-Transform-Transfer variant adds an improvement phase before handover.
How do outcome-linked fees work?
Part of the fee is tied to KPIs agreed with you, such as SLA attainment, tickets auto-resolved or value delivered against the business case. The KPIs, measurement and share are set per scope in the proposal.
Can we see live performance?
Every engagement can include a live service portal showing SLA attainment, incidents by line, AI-resolved versus human work, model health, the improvement backlog and value delivered.
Which applications do you support?
Application management covers SAP (PM, MM, PS, FICO), Oracle, Microsoft Dynamics, Workday, ServiceNow and Salesforce, plus integration including MuleSoft, and release and change management.
What if we only need specialists?
That works. Specialists on demand is available on its own as an hours bank or a dedicated pod, and can be added to any tier later.