Operations · Article
Agentic workflows make exception design more important
Automation handles the normal path. Agentic workflows raise the stakes around exceptions, recovery and the moment a person must take control.
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Operations · Buyer guide
How to evaluate an enterprise action layer for AI agents
Agent platforms increasingly promise access to actions across systems. Buyers need to test permissions, orchestration, audit trails and safe rollback.
Operations · Whitepaper
An operating model for autonomous enterprise operations
Autonomous operations depend on bounded actions, trusted data, clear service ownership and an escalation model that survives real pressure.
Operations · Insight report
What process mining looks like in an agentic environment
Process mining is moving from discovery toward a source of context for agents that monitor, recommend and act across workflows.
Operations · Toolkit
The exception-first automation workshop
A workshop template for mapping the cases that break normal automation and deciding how agents, systems and people should respond.
Operations · Maturity benchmark
Operations AI maturity: from task automation to bounded autonomy
A qualitative maturity model for teams progressing from scripts and copilots toward orchestrated, controlled operations.
Information Technology · Article
Enterprise agents need a control plane, not another dashboard
As departments deploy agents, IT needs a consistent way to discover, govern, secure and retire them across platforms.
Information Technology · Buyer guide
How to evaluate Model Context Protocol access in enterprise software
Model Context Protocol can simplify how agents reach tools and data, but buyers must test authorization, scope, logging and revocation.
Information Technology · Whitepaper
Platform engineering for the agentic enterprise
Platform teams are being asked to provide reusable agent foundations, trusted context, evaluation and policy without slowing every business experiment.
Information Technology · Insight report
Signals changing the enterprise application roadmap
Agent interfaces, AI-first features and cross-application orchestration are changing how IT evaluates modernization and application value.
Information Technology · Toolkit
The enterprise agent inventory template
A practical template for recording agent owner, purpose, access, model, data, actions, controls and retirement path.
Information Technology · Maturity benchmark
IT agent governance maturity benchmark
A qualitative model for assessing discovery, identity, evaluation, access, monitoring and lifecycle management for agents.
Cybersecurity · Article
Security teams need to prepare for agentic attack paths
AI-enabled attackers can compress reconnaissance and exploit development, making basic control gaps and slow remediation more costly.
Cybersecurity · Buyer guide
How to evaluate security controls for enterprise AI agents
Agent security products should be tested against identity, tool access, prompt injection, data leakage, unsafe actions and monitoring gaps.
Cybersecurity · Whitepaper
An identity-first security model for the agentic enterprise
Agents need identities, permissions and lifecycle controls that are distinct from both human users and traditional service accounts.
Cybersecurity · Insight report
The security signals behind shadow AI risk
Shadow AI is no longer only unsanctioned chat use. It includes hidden agents, embedded model features and tools acting through approved applications.
Cybersecurity · Toolkit
AI agent threat-model checklist
A compact threat-model checklist for agents that read enterprise data, call tools or change records.
Cybersecurity · Maturity benchmark
Agent security maturity: visibility to continuous assurance
A qualitative maturity model for agent discovery, testing, authorization, monitoring and incident response.
Data & AI · Article
Context engineering is becoming an enterprise data discipline
Reliable agents need more than model access. They need trusted context, permissions, metadata and a clear way to know which information should shape an action.
Data & AI · Buyer guide
How to evaluate an AI observability platform
AI observability tools should help teams trace prompts, retrieval, tool calls, cost, quality and policy without creating a second opaque system.
Data & AI · Whitepaper
The data product model for enterprise agents
Agents expose weaknesses in ownership, semantics and access faster than traditional analytics because they act on context rather than only display it.
Data & AI · Insight report
Signals shaping the enterprise AI stack
The stack is moving toward multi-model flexibility, agent control planes, trusted context, evaluation and policy-aware action layers.
Data & AI · Toolkit
The RAG and agent evaluation checklist
A practical checklist for evaluating retrieval quality, grounded answers, tool use, refusal, escalation and change over time.
Data & AI · Maturity benchmark
Enterprise AI maturity: experiments to governed systems
A qualitative model for assessing strategy, context, evaluation, controls, operating ownership and measurable value.
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