Building
Connect systems, define measures, ship a dashboard, a workflow, or a copilot, and put it in front of the people who run the business.
Managed AI Operations
AI doesn't stop at deployment.
Building an AI-enabled system and operating it reliably are different jobs. BlackPeak can remain involved after implementation — monitoring, improving, and extending the intelligence layer — instead of delivering software and walking away.
Build versus operate
A working first version is not the operating model.
Operating
Watch whether it still answers, whether integrations still run, whether quality drifted, and whether a model or API change quietly broke last month’s design.
Illustrative example
What an operations console can make visible.
The view below is a sample BlackPeak operations console. Illustrative example.
BlackPeak · AI operations console
IllustrativeAI applications
Healthy
2 of 3 green
Integrations
14/14
connected
Data pipelines
Healthy
last run 06:12
Exceptions
3
need review
Model usage
- Calls this week
- 12,480
- Estimated cost
- $1,840
- Quality score
- 92
- Last evaluation
- Tue 07:40
Applications and recent changes
- Management copilotHealthy
- Exception briefingHealthy
- Document intakeWatch
Recent change: document-intake prompt revised after evaluation. Illustrative sample only.
What this work can include
Keep the intelligence layer current.
Application and workflow monitoring
See whether the copilots, briefings, and workflows that were deployed are actually running.
Integration and pipeline health
The intelligence layer is only as current as the connections underneath it. Those connections need watching.
Model and provider management
Models, APIs, and vendors change. The operating view should notice that before managers do.
Quality, exceptions, and evaluation
Answers and automations should be checked against the measures you already use — not assumed to stay correct.
Usage, cost, and access
Who can ask, how much is being used, and what it costs should be visible to the people responsible for the system.
Governance and change
Prompt changes, model swaps, and new data sources belong in a controlled path, with a record of what changed.
- Managed AI Operations is scoped around the customer’s operational requirements and support model.
- Monitoring, review cadence, and response paths are defined in the engagement.
- BlackPeak stays involved after implementation when that operating relationship is part of the work.
If the system has to keep working after go-live, talk about operations before you ship.
An executive consultation is the place to discuss whether BlackPeak should stay involved after implementation. A paid readiness assessment is a separate, scoped engagement.