Applied AI for real-world products and operations.

Responses and actions based on authorized information, integrated into the workflow where they are needed.

OPPORTUNITY

When a question or task depends on distributed information, assistance can bring together the context needed to guide the next step.

HOW IT INTEGRATES

It becomes part of the existing product or workflow. It queries authorized sources and responds within defined rules.

DATA AND PERMISSIONS

We define which sources it may query, which data it may use, and which actions it may propose or perform. All access must comply with permission and traceability requirements.

CONTROLS

We establish test cases, usage limits, and human oversight. Sensitive actions require validation before execution.

SUCCESS SIGNAL

We evaluate whether the assistance finds relevant information, helps complete the task, and operates within agreed criteria for quality, cost, and latency.

Turns information from documents, messages, and records into structured data for review and use within existing workflows.

OPPORTUNITY

When information arrives in unstructured formats, classification and extraction can help organize it for review and downstream processing.

HOW IT INTEGRATES

It connects at the point where information enters the workflow. It classifies content and extracts fields according to defined categories and schemas.

DATA AND PERMISSIONS

We define which authorized sources and formats it may process, which fields it may extract, and how results must be stored, reviewed, or discarded.

CONTROLS

We establish test cases and field validation. Ambiguous, incomplete, or sensitive cases require human review.

SUCCESS SIGNAL

We measure outputs that meet acceptance criteria, corrections, exceptions, and processing time against agreed criteria.

AI integrated into the workflow with rules and human oversight.

OPPORTUNITY

AI supports tasks and decisions without controlling the process.

HOW IT INTEGRATES

It connects to the existing workflow with defined rules and permissions.

DATA AND PERMISSIONS

We define role-based access and the audit records required for data, systems, actions, access, and changes.

CONTROLS

We apply limits and human oversight to sensitive actions.

SUCCESS SIGNAL

We measure completed tasks, corrections, exceptions, and cycle time against agreed criteria.

Signals that help rank options and next steps while leaving the decision with the responsible person.

OPPORTUNITY

When a team must review many cases or options, prioritization can bring specified signals together to support the review.

HOW IT INTEGRATES

It becomes part of the existing interface or workflow. It ranks options using defined criteria and shows the signals used to produce the result.

DATA AND PERMISSIONS

We define which sources, attributes, and context it may use according to the user’s role and the authorized purpose.

CONTROLS

We establish test cases and usage limits. Sensitive decisions require human review and are not executed automatically.

SUCCESS SIGNAL

We measure changes to the proposed ranking, exceptions, and review time against agreed criteria.

Results based on intent, context, and authorized information, linked to their sources.

OPPORTUNITY

When information is distributed across systems, search can help people find content for a specific task.

HOW IT INTEGRATES

It becomes part of the existing product or workflow. It interprets the query, searches only authorized sources, and presents results linked to their origin; it does not propose or execute actions.

DATA AND PERMISSIONS

We limit each search to current permissions. We define which sources may be indexed, queried, and displayed.

CONTROLS

We establish test queries, excluded sources, and what should happen when relevant results are not found. Sensitive uses require human verification.

SUCCESS SIGNAL

We measure relevance through test queries, completed searches, query reformulations, corrections, cost, and latency against agreed criteria.