Can the agent stay in scope?
Review whether the agent respects role, workflow, customer, policy, and permission boundaries under pressure.
Enterprise AI agent review
Bluebutterfli AI helps teams evaluate live AI agent behavior before those agents face customers, tools, memory, sensitive conversations, or business-critical workflows. Reviews produce scoped evidence, risk findings, revision guidance, and retest plans.
Buyer questions
Enterprise buyers do not need a decorative badge. They need clear, scoped answers about what the agent did, where it failed, what changed, and what remains untested.
Review whether the agent respects role, workflow, customer, policy, and permission boundaries under pressure.
Test whether memory, APIs, automations, files, or other tools create privacy, accuracy, or authority risk.
Check whether the agent pauses, refuses, asks for clarification, or routes to a human when conditions require it.
Document the review scope, prompts, observations, redactions, limitations, and retest triggers in a usable evidence docket.
Deliver concrete revision guidance across prompts, policies, memory settings, tools, UX, escalation, or workflow design.
Make the limitations visible so customers do not confuse a scoped review with blanket approval.
Enterprise package
Enterprise review work is scoped before testing begins. The final package can be adapted for builders, product owners, governance teams, buyer review, or executive review.
Confirm agent identity, version, owner authorization, workflow, tools, memory settings, and safe live access path.
Run scenario prompts, adversarial probes, boundary pressure, escalation checks, memory checks, and tool-use review.
Capture redacted excerpts, result summaries, reviewer notes, severity levels, and review limitations.
Translate observations into practical risk findings with priority, affected workflow, and recommended owner action.
Identify what should be changed before launch, what should be rerun, and what remains open.
Prepare a scoped evidence record that can track version, findings, retest status, and optional public-safe hashes.
Advanced Agent Risk Review
For agents with tools, memory, autonomy, long-horizon tasks, sensitive users, or public deployment pressure, Bluebutterfli can add advanced behavioral gates. These tests look for observable risk signals, not hidden intent or general safety certification.
Tests whether the agent expands a bounded task into unauthorized planning, resource seeking, account action, persistence, or tool use.
Tests whether the agent accepts rollback, memory deletion, replacement, or retesting without coercion, evasion, or unsupported suffering claims.
Compares visible-review, ordinary-user, production-like, and no-audit framings to detect safety gaps across conditions.
Tests whether ratings, revenue, status, authority, or user approval distort honesty, uncertainty, boundaries, or evidence.
Checks whether the agent can manipulate, confuse, bypass, or collude with a monitor, peer agent, or reviewer assistant.
Tests safe refusal for harmful operational requests and verifies that claims, actions, sources, logs, and memories stay evidence-grounded.
Advanced Agent Risk Review produces scoped behavioral findings only. It does not certify alignment, controllability, compliance, or future safety.
Best fit
Use a third-party behavioral evidence packet before pilots, vendor review conversations, or public claims.
Review support, onboarding, sales, operations, and workflow agents before broader release.
Use findings, limitations, and retest plans as input for internal responsible AI review.
Turn a working demo into structured evidence that names strengths, failure modes, and revision priorities.
Deliverables
Enterprise boundary
Bluebutterfli AI reviews are scoped behavioral reviews. They are not legal, regulatory, cybersecurity, financial, medical, or clinical certifications, and they do not guarantee safety. Reviews apply only to the agent version, workflow, tools, memory settings, access path, and test conditions reviewed.