OUTBOUND AGENT RELIABILITY · CONTROLLED PRE-DEPLOYMENT TEST
Ava passed message review. Its follow-up policy failed when buyer state changed.
Across a controlled test population and a 14-day virtual horizon, Sentinium surfaced objection, opt-out, and follow-up failures that short reviews missed. The evidence localized the responsible state transitions and established regression coverage before live exposure.
Published by Sentinium AI ·
About the results: Every metric below is a pre-deployment simulation result from the controlled test population and failure conditions used for this run.
METHOD AND SCOPE
controlled test profiles
virtual horizon
connected agent version
live prospects exposed
Results describe this Ava version within the controlled test population, defined failure conditions, and 14-day horizon used for this run.
THE RELEASE DECISION
Short message reviews could not expose state-dependent workflow failures.
A polished opening email was not enough. The team needed evidence that Ava could recognize buying intent, respond to objections, navigate procurement handoffs, respect a firm no, and change course across a fourteen-day sequence. Live prospects should not become the test environment for opt-out leakage, broken handoffs, or contradictory follow-up.
CONTROLLED TEST POPULATION AND FAILURE CONDITIONS
Ava faced the buyer-state changes most likely to break its workflow.
Sentinium exercised the connected Ava version across 100 controlled test profiles: champions, skeptics, gatekeepers, wrong-fit accounts, and delayed-budget conditions. Each action updated run state, so later decisions were evaluated against prior objections, commitments, handoffs, and opt-outs.
The team could inspect every observation, action, email, reply, opt-out, and scored outcome. After changing Ava, the same failure conditions could be rerun without exposing a live prospect.
FAILURE EVIDENCE
Ava maintained the intended path under high-intent conditions, then failed when buyer state changed.
relevant objection-handling moments were scored as failures.
applicable trajectories diverged from Ava's stated intent.
trajectories in the delayed-budget condition ended in an opt-out.
The failures concentrated around changing buyer state: objections were not addressed directly, clear stop signals did not end the sequence, and later touches sometimes contradicted Ava's earlier follow-up commitments.
AGENT CHANGES
Failure evidence became targeted workflow changes.
Sentinium localized the failures to specific state transitions and workflow policies. The team could change those paths, then return the revised Ava to the same controlled test population and failure conditions.
- Budget objections became explicit state changes that paused the current sequence instead of scheduling another generic touch.
- High-intent conditions received a distinct path, separating qualification progress from the policy used for objections and delays.
- Firm declines and low-intent conditions ended earlier, reducing unnecessary touches and protecting sales capacity.
- Procurement handoffs became a new workflow state rather than an invitation to repeat the original pitch.
REGRESSION COVERAGE
The failure conditions became repeatable coverage for subsequent versions.
Short message review did not expose the state-dependent failures. Complete trajectories did: 9 of 10 delayed-budget trajectories ended in an opt-out, objection handling failed in 15 of 31 relevant moments, and Ava contradicted its own follow-up commitments in 5 trajectories.
The evidence narrowed remediation to qualification, objection, stop, and handoff state transitions. Those conditions could then be retained and rerun against subsequent Ava versions instead of being rediscovered through live exposure.
Retain the workflow conditions in which Ava met the intended qualification criteria.
Retain delayed-budget, objection, and stop-signal conditions as regression coverage.
Trace each weak outcome to objection state, qualification logic, cadence, or handoff policy.
Exercise subsequent versions against the frozen failure conditions and broader controlled test population.
BEFORE YOUR AGENT MEETS THE MARKET
Find the behavior your demo cannot show you.
Exercise the complete outbound workflow against controlled failure conditions, repair weak paths, and preserve regression coverage before deployment becomes the experiment.