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Pipeline Operations · Data Quality · Semantic Model Support · Agent Operations · AI Assurance · Enhancement Sprints

Managed Data &
AI Services

Data foundations and AI agents kept accurate, governed and working after go-live

Data quality drifts, definitions change, quarterly updates alter behaviour and agents need watching. eAppSys runs the data and AI estate on Oracle Fusion under agreed SLAs, with the same team that built it, so the investment keeps delivering rather than quietly degrading.

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Home › Data & AI › Managed Data & AI Services

Managed Services

Managed Data & AI Services — Service Areas

eAppSys delivers managed data and AI across six service areas, on one service desk alongside Oracle Fusion application management where that is also in place.

Managed Data and AI Services for Oracle Fusion

Data Pipeline Operations

Extracts, loads and integrations that feed reporting and AI, monitored and fixed before users notice.

  • Monitoring of Fusion extracts, FDI pipelines and OIC integrations
  • Failed loads triaged and rerun within SLA
  • Change management for source and target schema changes
  • Capacity and cost monitoring for Azure or OCI data services
  • Monthly service reporting

Data Quality Monitoring & Stewardship

Quality rules run continuously with exceptions routed to the people who can fix them.

  • Rule library maintained as business requirements change
  • Steward queues and escalation for unresolved exceptions
  • Trend reporting on duplicates, completeness and consistency
  • Periodic re-cleansing with DMOne™ where drift accumulates
  • Governance board reporting

Semantic Foundation™ & Reporting Support

Business definitions and the reports built on them kept consistent as the organisation changes.

  • Glossary and metric definition change control
  • OTBI, BI Publisher and FDI report maintenance
  • Impact assessment when a definition or structure changes
  • Retirement of redundant reports
  • User support for reporting questions

AI Agent Operations

Fusion agents monitored, tested and kept within policy release after release.

  • Agent health and usage monitoring
  • Quarterly update test packs run before each Fusion release
  • Prompt, tool and skill changes under change control
  • Action logs reviewed for policy compliance
  • Decommissioning of agents no longer used

AI Agent Operations

AI Assurance & Model Monitoring

Evidence that AI is behaving as approved, for governance and audit.

  • Accuracy and refusal testing on a defined cadence
  • Drift detection for embedded AI and custom models
  • Data protection and access reviews
  • Incident process for AI behaving outside policy
  • Assurance reporting to the governance board

AI Assurance & Model Monitoring

Enhancement Sprints

Capacity to improve, not just maintain, delivered in the same sprint-based model as eAppSys Application Enhancement Services.

  • Prioritised backlog owned by the client
  • Two to four week sprints with agreed capacity
  • New data sources, reports, agents and skills
  • Estimates before commitment, delivery within sprint
  • Quarterly review of backlog and outcomes

Enhancement Sprints

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Delivery Approach

Delivery Approach

eAppSys delivers managed data and AI engagements in a structured phased approach — clear outputs and decision gates at every stage.
01

Transition

Knowledge transfer, monitoring and runbooks in place, SLAs and escalation agreed, service start

02

Operate

Pipelines, quality rules, semantic model and agents run under SLA with monthly reporting

03

Assure

Quarterly update testing, AI assurance cadence, governance and audit reporting

04

Improve

Enhancement sprints from a client-owned backlog; quarterly service and outcome review

Why eAppSys

Your Managed Data & AI Partner

The Team That Built It Runs It

Where eAppSys delivered the data foundation or agents, the same people carry them into service. Where another partner built them, a structured transition brings them under one desk.

One Desk for Oracle and Data

Clients with eAppSys Fusion Application Management get data and AI on the same service desk, so an incident is not passed between two suppliers to find out whose it is.

Quarterly Updates Handled

Every quarterly Fusion update is tested against the data pipelines, reports and agents in scope before production is updated, with results reported.

Clear Commercials

Fixed monthly fee for the run service against agreed SLAs, with enhancement capacity priced separately in sprints.
Common Questions

Frequently Asked Questions

What is included in the monthly fee?
Monitoring and incident management for in-scope pipelines, data quality rules, semantic models and agents; quarterly update testing; assurance reporting; and service management. Enhancement sprints are priced separately.
Yes. A transition phase documents the assets, establishes monitoring and runbooks, and agrees the SLAs before service start. Any gaps found are reported with options.
Response and resolution targets are set by incident priority and agreed at contract. Reporting on SLA performance is provided monthly.
If eAppSys provides Fusion Application Management, data and AI services run on the same desk and reporting. If another partner provides AMS, eAppSys works under an agreed RACI for data and AI scope.
Yes. A review engagement tests an existing strategy against data readiness, platform fit and governance, and produces a gap report with recommendations.
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