Public preview - Governed AI worker planning materials are informational and support readiness conversations.

Solutions

Govern AI workers across industries, functions, and lifecycle stages.

Scaled Agents helps teams shape AI Worker opportunities around the realities that determine readiness: industry context, functional ownership, sensitive data, approval paths, evidence needs, and lifecycle controls.

Scaled Agents is a licensed, customer-managed platform for governing AI workers through ownership, approved scope, review gates, evidence, and lifecycle visibility.

Context

Use Solutions to choose a governed starting point before designing an AI Worker.

The Solutions area helps teams decide whether to begin from an industry obligation, a business function, a workflow owner, or a review constraint. Each path should still lead to the same governance questions: purpose, owner, scope, data, tools, risk, evidence, and human oversight.

Industry lens

Use when the operating environment changes privacy, security, regulatory, audit, or customer-impact expectations.

Function lens

Use when a business team owns the workflow and needs to shape an AI Worker around outcomes, handoffs, and review paths.

Boundary

Solutions are planning aids. They do not approve tools, grant access, connect live systems, authorize production use, or replace owner review.

Choose the right lens

Two ways to find the right AI Worker starting point.

Some teams start with industry obligations. Others start with a function that owns a workflow. Both paths lead to the same governance questions: purpose, owner, scope, data boundary, tool boundary, review path, evidence, and next action.

AI Governance by Industry

Use this path when the operating environment changes the review posture, such as healthcare, financial services, defense and government, public sector, contact center, or technology programs. The industry lens helps identify sensitive-data boundaries, approval expectations, and public-safe planning language.

Open AI governance by industry

AI Governance by Function

Use this path when the business owner already knows the workflow, such as customer operations, finance, product, security, compliance, platform, or program delivery. The function lens helps map user outcomes, handoffs, human review, evidence, and measurable value.

Open AI governance by function

AI Testing Governance

Use this path when QA, engineering, delivery, risk, or platform teams need governed AI-assisted testing support for test planning, candidate generation, controlled execution requests, review gates, evidence, and remediation handoffs.

Open AI Testing Governance

Advisor Handoff

Use Advisor support when the solution involves sensitive data, production systems, regulated workflows, external communications, or high-impact decisions. Advisor paths help turn the starting point into a draft Blueprint or Passport-ready planning record.

Open advisor paths

Solution Delivery Approach

Product & Delivery Architecture gives industry and function paths a delivery spine.

The recommended delivery approach connects a selected industry or function use case to product intent, workflow ownership, delivery architecture, governance checkpoints, and Passport-ready evidence before implementation planning moves forward.

Product architecture

Clarifies the user problem, intended outcome, operating context, acceptance boundaries, and measurable value before an AI Worker is shaped.

Delivery architecture

Maps the workflow, handoffs, data and tool boundaries, dependencies, review roles, implementation sequence, and operational readiness path.

Governance handoff

Turns the selected solution path into Blueprint, Passport, Toll Gate, evidence, and human-review inputs without claiming approval, authorization, or production readiness.

Outcome-Driven AI Delivery

Move AI initiatives from business problem to governed production outcome.

Scaled Agents helps teams start with the work that must improve, the people accountable for the outcome, and the evidence needed to decide whether an AI initiative should move forward. The delivery path should clarify value, users, stakeholders, architecture, data readiness, security, operations, and governance before choosing an LLM, agent framework, RAG pattern, workflow automation, GenAI capability, or ML approach.

Project delivery

Define the workflow, user need, acceptance criteria, data and system dependencies, security constraints, and first controlled implementation path before technical build work expands.

Open the delivery resource

Program delivery

Coordinate stakeholders, milestones, risk reviews, adoption readiness, governance evidence, operating dependencies, and escalation paths across the AI delivery effort.

Product delivery

Tie the AI capability to measurable outcomes, user value, operating constraints, lifecycle ownership, cost and value assumptions, and scale or retirement decisions.

Technology fit

Choose RAG, agentic workflows, ML, GenAI, workflow automation, or non-AI process improvement based on the business need, evidence boundary, risk posture, and operating model.

Governance evidence

Translate delivery choices into Passport scope, Toll Gate checkpoints, Human Review items, Stamps, Evidence Records, and audit-export readiness.

Executive value

Show leaders the reviewed basis for time to value, risk reduction, cost efficiency, growth, customer experience, operational control, and continued investment.

Outcome and value language remains review-preparation material. Scaled Agents does not guarantee ROI, cost savings, growth, production readiness, security authorization, compliance conclusions, audit opinions, or business outcomes.

What Solutions clarifies

Each solution area should make the operating boundary visible.

Purpose and owner

Who owns the AI Worker, why the work matters, who reviews it, and what outcome should improve.

Scope and boundaries

What the AI Worker may draft, classify, summarize, route, or prepare, and what remains human-owned.

Data and tools

Which data categories, systems, connectors, and output destinations need review before use.

Risk and evidence

Which risks, controls, review gates, stamps, and evidence records should be planned before broader rollout.

Implementation path

Whether the next move is a Blueprint, Passport, template, readiness review, advisor session, or internal planning conversation.

Public-safe limits

Solutions are planning aids only and do not create legal, compliance, security, audit, production, or operational approval.

This Solutions area is informational. It supports education, readiness planning, and review preparation; it does not connect live systems, grant runtime authority, or approve production use.

Recommended path

Move from solution lens to governed planning record.

  • Start with industry if the operating environment changes risk, evidence, privacy, security, or approval expectations.
  • Start with function if a team already owns the workflow and needs a guided path to shape an AI Worker.
  • Use the public resources for templates, readiness framing, workbooks, and planning materials.
  • Use Advisor or Human Advisor support when a solution needs a governed Blueprint, Passport planning record, or review-ready next step.
Public preview - Materials support readiness planning and do not authorize production use.