Most enterprises have already bought AI licences. Very few have changed how work actually happens. Inovent builds the automation layer — AIOps, agentic workflows, document processing and governed AI access — on top of infrastructure we know how to operate.
The problem
A typical managed estate generates thousands of alerts a month, and a large share resolve the same way every time: restart the service, clear the queue, extend the volume, reset the credential, approve the access. Humans are doing that work because nobody built the alternative.
We build the alternative. The alerts you already pay us to watch become the trigger list for automation, and the backlog shrinks every quarter instead of growing with headcount.
Before & after
| Task | Today | With automation |
|---|---|---|
| Disk full alert | Engineer paged | Auto-extend + notify |
| Password reset | Helpdesk ticket | Self-service agent |
| Invoice entry | Manual keying | Extracted & posted |
| Patch cycle | Weekend window | Orchestrated, staged |
| Access request | Email chain | Policy-checked workflow |
| Monthly report | Analyst assembles | Generated on schedule |
Capabilities
Each one is deployable on its own. Most clients start with the first and add from there.
Machine-learning baselines across network, compute, storage and application telemetry. Alerts fire on genuine deviation, correlated into one incident instead of forty — cutting alert noise and shortening mean time to detect.
AI agents that execute your documented runbooks: triage, restart, scale, rotate, patch, provision. Each action is permission-scoped, reversible and logged, with human approval gates wherever you want one.
Invoices, purchase orders, delivery notes, crew certificates, claim forms and compliance records read, validated against your rules and posted into ERP, finance or PMS systems — with exceptions routed to a person.
Microsoft 365 Copilot rollouts done properly — data classification and permission hygiene first — plus private model deployment in your own Azure or AWS tenancy, or on-premises, where data cannot leave.
The groundwork AI depends on: pipelines, warehouse or lakehouse, data quality rules, semantic models and dashboards. Without this, AI output is confident and wrong.
Acceptable-use policy, model inventory, prompt and output logging, DLP, PDPA alignment and role-based access — so your auditors and your board get a straight answer about what AI is doing inside the business.
Method
No eighteen-month transformation programme. We put one automation into production fast, prove the saving, then widen scope with the evidence in hand.
We shadow the work. Ticket volumes, repeat causes, manual handoffs and document flows are measured, then scored on volume × effort × error rate. You get a ranked automation backlog with estimated hours returned per month.
One or two candidates built in a controlled scope, running alongside the human process so results can be compared directly. Success criteria are agreed before build, not after.
Permissions tightened, error handling and rollback added, logging wired into your SIEM and service desk, documentation and handover written. The automation becomes a supported production service with an owner.
Monitored under the managed service with monthly reporting on tasks automated, hours returned and exceptions raised. The next items come off the backlog each quarter.
By industry
KYC document extraction, reconciliation exception handling, regulatory report assembly, access certification and audit evidence collection.
Shop-floor telemetry anomaly detection, predictive maintenance signals, supplier document matching, quality report generation.
Noon-report and fuel data consolidation, crew certificate expiry tracking, planned maintenance document automation, emissions reporting.
Delivery order and proof-of-delivery capture, exception triage across carriers, freight invoice audit, fleet telematics alerting.
Referral and claim document processing, appointment workflow automation, clinical system integration monitoring — with strict data residency.
Form intake and routing, service-desk deflection through self-service agents, records classification, grant and procurement document review.
Straight answers
A short assessment produces a ranked backlog with hours-returned estimates against each item. Yours to keep, with or without us.