Operations Intelligence
Connect, interpret, classify and automate operational workflows.
Try the Base Open Model now. In a TaskSlate implementation, we connect approved business data and systems, configure the AI around your workflow, establish a measurable baseline and customize further where it adds value.
The public Lab shows the starting point. Your implementation is built around your workflow.
During your implementation
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This is a public baseline demo. It is not a client benchmark or a TaskSlate Custom AI implementation.
The Base Open Model is only the starting point. A TaskSlate implementation adds your rules, terminology, systems, live data and expected outputs — with model fine-tuning only where evaluation shows it adds value.
Start with one repeatable workflow where your team needs consistent, structured decisions.
Connect, interpret, classify and automate operational workflows.
Connect, interpret, prioritize and route service requests with your rules.
Connect, interpret and classify defects, issues and production signals.
Connect, prioritize and automate internal service requests and triage.
Connect, extract and structure information from business documents.
Connect, classify and automate repeatable decisions around your workflow.
Have a different repetitive workflow?
TaskSlate turns one approved business workflow into a private AI implementation. We connect the relevant systems, benchmark the baseline, configure the logic and deploy the finished system in infrastructure you control.
Approved access only
One measurable workflow at a time
Built around your workflow and expected outputs
Deployed in infrastructure you control
Current business information can be retrieved when the workflow needs it.
Database, REST API, internal service or MCP-compatible integration where appropriate.TaskSlate establishes a measurable baseline before configuration and customization. We measure the same workflow against an approved evaluation set, then evaluate any improvement with the same criteria.
Starts with the public starting point and a known benchmark.
Align the system to the actual process and decision flow.
Only use model tuning if benchmark results support the extra complexity.
Measure the final result using the approved evaluation dataset.
Actual results are measured using your approved evaluation dataset.
We use the simplest architecture that solves the business problem.
Deployment and access are designed around the environment and controls agreed for your implementation.
Deploy inside supported client infrastructure.
Restrict access to approved data sources and fields, while keeping live data in place.
Only authorized applications can access model inference.
Live data can remain in existing business systems and be retrieved only when required by the agreed workflow.
A defined path from a business problem to a supported private deployment.
Use-case definition
Success criteria
One data/system integration
Business rules
Prompt mapping
Structured outputs
Error analysis
Workflow refinement
Optional model fine-tuning
Validation
Authenticated inference API
Security controls
Evaluation dashboard
Knowledge transfer
Deployment support
30-day post-launch support
One defined implementation. No per-token TaskSlate subscription required. Infrastructure and third-party costs, if any, are separate.
TaskSlate adds a private intelligence layer to the business systems you already use.
Show us one repetitive workflow and a sample of how your team handles it today. We’ll assess how TaskSlate could connect the required data, establish a baseline and build a private AI solution around the process.
Pass along the live demo or start a conversation.