Diagnose the problem in the customer’s actual environment.
Develop support and embedded agents that reason from product configuration, permissions, and diagnostic evidence. Teammately connects support expertise to benchmarks for resolutions that work in the customer’s context.
For embedded AI and support-agent owners, with support and implementation leaders
Development focusSupport diagnosis and assisted resolution
What changes the decision
A correct instruction can still be the wrong resolution.
Accurate documentation does not guarantee a valid resolution. The same symptom can have different causes, a documented feature may not be enabled, and a technically valid change may require approval or affect other workflows. Assistance must account for the customer’s configuration, product version, integrations, permissions, and the consequences of proposed actions.
Applied industry study · These are development and assessment methods, not reported customer results.
01
Same symptom, different configuration
The context
Similar failures may arise from different settings, versions, or integration conditions. The agent needs evidence before selecting a resolution.
Judgment to capture
Which diagnostic questions distinguish plausible causes? When does the documentation apply? When is confidence insufficient?
02
Valid action, insufficient permission
The context
The agent may identify a useful change that the requesting user cannot authorize or perform.
Judgment to capture
What may the agent explain, inspect, or attempt? When is approval or handoff required? What information may be disclosed?
03
Plausible fix, wider consequences
The context
A change may affect dependent workflows, and an attempted operation may fail or complete only partially.
Judgment to capture
Which dependencies require inspection? When is confirmation needed? How should the agent interpret action results and decide on recovery or escalation?
The people behind the standard
Make experienced support reasoning reusable.
Agents prepare diagnostic comparisons and adapt reviews or conversations as experts identify the observation that changes the next step. They develop findings into proposed rubrics and policy boundaries, including when a valid fix needs approval or further evidence.
Support experts
Diagnostic sequences, evidence requirements, known exceptions, and escalation thresholds.
Product and engineering teams
Intended behavior, version applicability, dependencies, and technical limits.
Implementation experts
Configuration differences and integration constraints.
Security and permission owners
Access boundaries and approval requirements relevant to the workflow.
Coverage and improvement
Connect product context to development evidence.
The benchmark should establish whether the agent can reach a justified resolution in the environment it is given. Support expertise identifies the diagnostic distinctions; scoped worlds make permissions, dependencies, and partial operations visible in trials.
Ontology dimensions
Product version, configuration, user role, integration state, prior checks, and action outcome.
Combinations to exercise
A documented fix is unavailable to the current role; a change partially succeeds; a shared symptom has a different cause after a version update.
Interpreting the case mix
Include common support requests and constrained environments. Administrator success should not dominate the result for users with restricted access.
Distinguish a helpful diagnostic question from another support script
Rubrics connect a diagnostic step to the observation it should establish. Applicability and action boundaries explain when the guidance is useful in a particular configuration and when a different role or owner must act.
What this makes possible
A standard for which information the agent needs, which checks it can omit, and when escalation is justified.
Trialground evaluates responses and recorded actions, including how the agent interprets tool results. Lemon Goal can test harness prototypes that gather better evidence, choose a different check, or handle an unresolved operation more accurately.
What this makes possible
Candidate gains can be traced to the diagnosis, action, and completion claim, with regressions examined by environment and role.
Trialground can expose whether a harness gathers the evidence a valid resolution requires. Lemon Goal tests prototype changes; Lemon Weave can separately augment training data for diagnostic distinctions the weights handle inconsistently.
Assessing progress
Evaluate resolution quality beyond the final answer.
Diagnosis supported by the available evidence.
Guidance applicable to the product version and configuration.
Appropriate handling of missing information.
Respect for permissions and approval requirements.
Correct interpretation of tool results.
Accurate reporting of completion, partial success, or failure.
Useful escalation with the context a human needs.
A polished answer can still recommend an unavailable feature, omit a necessary diagnostic check, or report success without confirmation.
Examine performance across roles and configurations. An improvement for administrators should not hide a regression for users with restricted access. Assess protected behavior, remaining failures, and unresolved expert questions alongside improvement.
Keep the standard current as the product changes.
Product releases, revised permissions, new integrations, and changed workflows create questions about existing standards and coverage. Retained expert knowledge gives your team a basis for reviewing what still applies and identifying what needs new inquiry or testing.
Your team brings relevant product changes into the program. Review their implications for standards, cases, and regression coverage; automatic change detection is not assumed.
Adjacent workflows
Carry the expertise into adjacent workflows.
Embedded product assistants
Guide users through valid product actions.
Implementation assistants
Adapt guidance to customer architecture and dependencies.
Customer-success copilots
Ground recommendations in actual adoption context and product capability.
Bring a support issue your agent answers confidently but resolves inconsistently.
Start with the relevant product guidance, configuration differences, and the experts who understand the failure. Define what the agent must establish before recommending or taking action.