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Enterprise agents

Evaluate enterprise AI assistants and agent actions: reliable answers, current knowledge, access controls, approvals, and task outcomes.

11 articles

Enterprise agents
When an AI assistant should say it lacks enough information
Evaluate useful abstention, precise clarification, and partial answers when permitted evidence is missing, ambiguous, inaccessible, or conflicting.
Sarath Chandran
Sarath Chandran
September 8, 20265 min read
Enterprise agents
AI agent error handling: retry, resume, or escalate?
Distinguish confirmed failures from uncertain writes, preserve completed work, and test recovery without duplicating actions or hiding partial results.
Sarath Chandran
Sarath Chandran
August 25, 20266 min read
Enterprise agents
Revoking access to documents already indexed by AI
Test permission revocation across new retrieval, answers, citations, previews, and existing conversations using controlled identities and source markers.
Sarath Chandran
Sarath Chandran
August 12, 20268 min read
Enterprise agents
How to verify that AI citations actually support an answer
Use a claim-level review to distinguish a valid citation from evidence that actually supports an enterprise AI answer and its qualifications.
Sarath Chandran
Sarath Chandran
July 31, 20266 min read
Enterprise agents
Why enterprise AI assistants answer from outdated documents
Diagnose outdated AI answers by testing source updates, ingestion, indexing, retrieval, and conversation context with a reproducible freshness checklist.
Sarath Chandran
Sarath Chandran
July 21, 20268 min read
Enterprise agents
When internal documents disagree: which source should AI trust?
Resolve conflicting internal sources with applicability, authority, version, and effective-date checks before an AI assistant presents a conclusion.
Sarath Chandran
Sarath Chandran
July 10, 20269 min read
Enterprise agents
Measuring an AI pilot: task completion, errors, and human rework
Measure verified task completion, human repair, material errors, access boundaries, and user effort so an AI pilot score reflects finished work.
Sarath Chandran
Sarath Chandran
June 30, 20266 min read
Enterprise agents
Setting least-privilege permissions for AI agent tools
Define agent permissions with an action and resource matrix, then test permitted operations, prohibited variations, execution identity, and approval boundaries.
Sarath Chandran
Sarath Chandran
June 19, 20267 min read
Enterprise agents
What belongs in an AI agent audit trail?
Build an observable record of who requested an agent action, what was authorized, what ran, and which result was confirmed in the target system.
Sarath Chandran
Sarath Chandran
June 9, 20265 min read
Enterprise agents
Human approval for AI agents: what reviewers need to see
Design action reviews that show the target, proposed change, authority, and consequences, then test edits, expiry, rejection, and execution results.
Sarath Chandran
Sarath Chandran
May 29, 20269 min read
Enterprise agents
How to evaluate an enterprise knowledge assistant
A practical evaluation method for enterprise knowledge assistants: define scope, assemble evidence-backed questions, test freshness and access, and make a traceable acceptance decision.
Sarath Chandran
Sarath Chandran
May 19, 20269 min read

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