Company
Enterprise Intelligence Systems
Orisdale is an architecture-led implementation practice for governed Enterprise Intelligence Systems.
Make enterprise intelligence trustworthy, explainable, and accessible inside the systems organizations already depend on.
- 01Enterprise Systems and Data
- 02Governed Business Logic
- 03Semantic Intelligence
- 04Enterprise Data PlatformFoundation — hosts data, compute, and access control for every stage above
- 05CoreAgentic AI Runtime
- 06Business Experience
From business request to a verified, maintainable data solution.
Implementation follows this delivery approach. Scope and responsibilities are agreed for the project. The Orisdale Workflow Agent for Alteryx — BigQuery Edition is in development and is intended to support workflow generation inside the same journey.
Understand
A business brief.
Investigate
Source evidence and findings.
Agree
Agreed requirements and business rules.
Build
An implementation traceable to the agreed requirements.
Execute
An authorized run record.
Verify and hand over
Verified results and a handover.
Revise
An explainable change and renewed verification.
What Orisdale delivers
Orisdale implements governed Enterprise Intelligence Systems — not standalone models, chatbots, or disconnected dashboards.
- Governed business logic and semantic intelligence
- Enterprise-platform integration on Snowflake, Databricks, Google Cloud, and Alteryx One
- Controlled AI and agent experiences inside the Agentic AI Runtime
- Business interfaces, workflows, permissions, and monitoring
- Human review boundaries and production implementation support
Why Orisdale exists
Most enterprise AI initiatives begin with a model and search for a use case afterward. Orisdale begins with a governed business decision, prepares the logic and semantic context that decision depends on, and only then introduces AI inside the enterprise architecture the organization already trusts.
An architecture-led approach
Every engagement begins with the same reference architecture: enterprise data, governed business logic, semantic intelligence, the enterprise platform, an agentic AI runtime, a business experience, and monitoring with human review. See the full architecture.
The experience behind the method
Orisdale's method comes from hands-on work designing governed data and AI systems on enterprise platforms, distilled into one repeatable reference architecture instead of a one-off consulting engagement. Every solution on this site, whether an illustrative interface or a solution blueprint, follows that same architecture.
Partner ecosystem
Orisdale participates in partner programs across leading enterprise data, analytics, and AI ecosystems.
Orisdale is a registered partner in the OpenAI Partner Network and the Claude Partner Network.
Enterprise data and analytics
Enterprise data platforms and governed analytics capabilities used in Orisdale implementation patterns.
AI model and runtime
Registered partner programs for OpenAI and Claude.
Registered Partner
Registered Partner
Finance and Revenue examples
Finance and Revenue Intelligence are shown through illustrative interfaces. The other three solution domains are documented as solution blueprints.
Revenue Intelligence
Revenue Intelligence separates three readings of the same pipeline: coverage against the remaining target, a weighted pipeline from approved category weights, and predictive accuracy, which this illustration does not claim. A reviewer uses the first two to decide what to inspect.
- · AI Sales Forecast Intelligence
- · Pipeline health analysis
- · Revenue risk detection
Finance Intelligence
Finance Intelligence combines approved budgets, actuals, governed variance calculations, materiality rules, and AI-ready business context to help finance teams explain performance without allowing AI to redefine the numbers.
- · Budget-versus-actual intelligence
- · Material variance detection
- · Management-attention classification
Built on the enterprise platforms you already use
We do not replace enterprise platforms. We make them intelligent.
Governing principles
Business problems before models
Every engagement begins with a governed business decision, not a model or a demo looking for a use case.
Governed logic before conversational AI
Calculations, thresholds, and classifications are controlled and reviewed before AI is allowed to interpret them.
Built on platforms you already trust
Orisdale extends Snowflake, Databricks, Google Cloud, and Alteryx One rather than introducing a parallel system.
Designed for production and governance
Systems are designed to be repeatable, monitored, and reviewed, not left as one-off demonstrations.