Opsian

[ 05 · Data Engineering ]

Real-time data flow into the AI, structured storage your team can query, and full traceability — so you can verify any AI decision against its source data.

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Deliverables · what you get
Production pipelinesReal-time, batch, and change capture
Warehouse modelStructured for AI and analytics
Data trackingSource-to-decision traceability
MonitoringAlerts, dashboards, freshness checks
[ The brief ]

When the operation matters, Clean data, fast and trusted.

Data pipelines that feed the AI — capturing events in real time, organizing them in your warehouse, and tracking exactly where each piece of data came from.

05Data
[ Capabilities ]

Four areas of work that make up this engagement. Each one is delivered by senior engineers — no junior staffing tricks, no offshore handovers.

01

Real-time data flow

Events flow into the AI as they happen. Whether you need a sub-second decision or hourly batch processing, we build to your actual speed needs.

02

Organized storage

Warehouse and analytics setups your team can query. Clean, structured, and ready for both AI and your analysts.

03

Connect to existing systems

We pull data from your current systems without breaking them. No risky migrations, no downtime.

04

Track every data point

Trace any AI decision back to the data that informed it. Spot stale or broken data feeds before they cause problems.

[ Why this matters ]

A regional airline's AI was making pricing decisions on data fourteen hours old.

Reservation, loyalty, and operations data sat in three different systems with overnight syncs. The AI was working on stale data. Revenue teams were losing trust.

[ Process ]

Four phases. One engagement.

A typical engagement runs four phases — from first audit to steady-state operations. The shape stays the same, the timing flexes around your reality.

  1. Phase0101 / 04

    Audit

    Weeks 1–3

    Catalog every system the AI needs to read or write. Set clear standards for speed, freshness, and accuracy.

  2. Phase0202 / 04

    Design

    Weeks 3–5

    Design pipelines that hit those standards — real time where needed, batch where it makes sense.

  3. Phase0303 / 04

    Build

    Weeks 4–10

    Pipelines built, instrumented, and tested. Backfills verified, failure cases rehearsed.

  4. Phase0404 / 04

    Handover

    Weeks 9–12

    Your data team gets dashboards, runbooks, and tuned alerts. We stay on through the first issue.

[ Adjacent services ]

Each service stands alone — but the architecture flows naturally into engineering, engineering into infrastructure, and so on. These are the most common pairings.

Engage with us

Build with the team behind it.

If your team needs senior engineers embedded for this work, talk to us. We staff small teams of senior engineers — no juniors, no offshore handovers.

Talk to salesBook a demo

Response within 24 hours · Sales@opsian.io