FAQ
Your journey is unique—these answers are here to guide it.
Frequently Asked Questions
Frequently Asked Questions
What does Performance AI do?
Performance AI helps organizations move AI from demos into real work. Edge connects approved company knowledge and business systems so teams can find answers, analyze data, generate reports, draft follow-ups, run recurring summaries, and route sensitive work for review.
What is Edge?
Edge is the control layer between AI models, company knowledge, business systems, and the teams using them. It gives employees useful AI assistance while giving leadership, IT, and compliance visibility into access, sources, outputs, activity, and review.
What problem does Edge solve?
Most AI pilots impress in demos but stall in operations. The issue is not the model — it is scattered data, disconnected systems, unclear permissions, approval requirements, and limited auditability. Edge helps companies use AI inside the workflows they already run, without losing control.
How is Performance AI different from other AI tools?
Most AI tools help individuals chat, search, or automate isolated tasks. Edge is built for organizations that need AI to work across real business systems while keeping access, outputs, actions, and audit history under control.
What is an AI agent in Edge?
An AI agent in Edge is a role-specific assistant with approved knowledge, instructions, boundaries, and access rules. It can answer questions, summarize context, analyze information, generate outputs, draft responses, and support approved workflow actions where configured.
What does Edge not replace?
Edge does not replace your core systems, your source-of-truth records, or human accountability for sensitive decisions. It helps teams retrieve, analyze, draft, summarize, report, and support reviewed actions while keeping existing systems and approval paths in place.
What workflows can Edge support?
Edge can support executive briefings, document Q&A, proposal drafts, quote preparation, meeting prep, meeting follow-up, reporting, spreadsheet analysis, customer follow-up, website support agents, healthcare documentation support, claims review, denial workflows, compliance review, and operational exception management.
What does a first Edge workflow usually look like?
A first workflow usually starts with one valuable recurring process: an executive briefing, report, spreadsheet analysis, proposal draft, website support agent, claims review, or document Q&A workflow. Performance AI helps define the workflow, connect approved sources, configure access, test outputs, and decide whether it should expand.
What data sources can Edge work with?
Edge can work with approved PDFs, Word documents, spreadsheets, email, calendars, cloud storage, databases, and selected business applications. Available connectors and system access depend on the customer’s deployment scope, permissions, and integration requirements.
Does Edge replace our existing systems?
No. Edge works with the systems your business already uses. Customer systems remain the system of record. Edge helps teams use information from those systems without forcing a rip-and-replace transformation.
Can Edge work with messy or incomplete data?
Yes, but data quality still matters. Edge can work with real-world enterprise information across files, spreadsheets, email, and system data. Output quality depends on source quality, permissions, structure, and access. Performance AI helps identify data gaps during implementation.
Do we need a data science team?
No. Edge is designed for business and operations teams. IT and security teams are usually involved for data access, integrations, permissions, and deployment review.
How long does implementation take?
Implementation depends on workflow complexity, data access, security review, and integration scope. Many customers begin with one focused workflow, validate the output, and then expand across teams, systems, or adjacent use cases.
What does the customer need to provide?
Successful deployments usually require a business owner, a workflow owner, approved data access, IT or system administrator support, permission decisions, sample outputs, and clear review criteria.
Is Performance AI secure and compliant?
Edge is designed to support regulated deployments with role-based access, tenant isolation, audit visibility, source traceability, human review workflows, and configurable deployment controls. Specific SOC, HIPAA, or other compliance commitments depend on the applicable agreement, deployment scope, and security package.
Does Edge train public AI models on our data?
No. Customer data is used to provide, operate, support, and maintain the service. It is not used to train public foundation models unless separately agreed in writing.
Who controls access?
The customer controls users, roles, departments, connectors, and workspace-level permissions. Agents can be scoped by person, role, department, or workspace. Access can also reflect source-system permissions and approved connector scopes.
Can Edge modify records in our systems?
Edge can support approved workflow actions where a connector and customer configuration allow it. Many connected sources are read-only by default. Sensitive actions should be routed for human review and approval before execution.
How are sensitive actions handled?
Sensitive actions such as sending external messages, changing records, processing payments, or updating business systems should be configured with human review. Edge is designed so people remain accountable for consequential decisions.
What can administrators review?
Business Owners and Admins can review usage, agent activity, connected sources, recent questions, feedback, public-agent conversations, and workspace-level events. This helps teams understand what was accessed, what was produced, who was involved, and where review may be needed.
What happens when an employee leaves?
Edge is designed so agents, sources, and connected work do not disappear when a user is removed. Ownership can transfer to the Business Owner, helping prevent orphaned workflows and lost institutional knowledge.
What does Performance AI cost?
Pricing depends on workflow scope, deployment model, integrations, users, usage volume, and support needs. Most enterprise deployments include platform access, implementation, and usage-based capacity. Pricing is scoped after identifying the workflows Edge will support.
What counts as usage?
Edge uses query-based usage rather than raw token-based pricing. Usage is based on the work Edge performs for users or visitors. A simple question, document-grounded analysis, public-agent interaction, or scheduled workflow may have different usage patterns depending on sources, models, tools, and workflow steps.
How do we avoid cost surprises?
During implementation, Performance AI helps estimate expected usage by workflow, user group, and deployment type so customers can understand cost before scaling across more users, teams, or public-facing workflows.
Are implementation and integrations included?
Implementation and integration scope depend on the customer’s order form, required connectors, data readiness, workflow complexity, and security requirements. Additional connectors, expanded data scope, or customer-specific technical work may require separate scoping.
Can we start with one workflow?
Yes. The best starting point is one high-value workflow with a clear owner, approved data sources, measurable output, and a defined review process. Once that workflow proves useful, Edge can expand into adjacent processes or departments.
What support does Performance AI provide?
Performance AI supports workflow design, implementation planning, configuration, data-source review, integration coordination, user enablement, and ongoing refinement based on usage and feedback.
Where is Performance AI based?
Performance AI is headquartered in Chicago and serves U.S. organizations with a focus on regulated and operationally complex environments.
Why was Edge built?
Edge was built because most companies already have the information they need, but it is scattered across email, documents, spreadsheets, meetings, databases, and business systems. Edge gives teams a secure, controlled way to use that knowledge in daily work.
What industries does Performance AI serve?
Performance AI focuses on healthcare operations, financial services, mortgage operations, manufacturing, industrial operations, and other data-heavy organizations where permissions, approvals, reporting, and auditability matter.
Who uses Edge inside a company?
Economic buyers are typically CEOs, COOs, CFOs, CIOs, Heads of Operations, or business-unit leaders. Administrators manage users, access, connectors, and governance. Managers and team leads can configure workflows. End users consume approved agents and outputs.
Why choose Performance AI instead of building internally?
Internal AI projects often require teams to build connectors, permissions, workflow logic, audit visibility, user administration, and deployment support from scratch. Edge gives customers a platform and implementation model so they can start with one workflow and expand without rebuilding the operating layer each time.
Is Performance AI a consulting firm or a software platform?
Performance AI provides a software platform with implementation support. We help customers identify and deploy high-value AI workflows, but Edge is designed to become a reusable operating layer across teams, not a one-off consulting deliverable.
How should we evaluate whether Edge is right for us?
Edge is a fit when your organization has valuable knowledge spread across systems, recurring manual work, sensitive data, approval requirements, reporting needs, or leadership concerns about unmanaged AI use. The best first step is to identify one workflow where faster answers, better reporting, or controlled review would create measurable value.
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