Squawker

Governed agent knowledge

The knowledge engine that makes Polly sharper over time

Squawker governs Polly with DNA configuration, account overrides, a 20-rule prompt library, and deterministic prompt compilation.

Squawker dashboard showing prospect records, source context, and follow-up status for revenue teams.

Module depth

How this module moves revenue work forward.

Squawker connects the module to the larger revenue workflow so teams can see how demand is captured, structured, routed, and improved over time.

DNA configuration

Polly behavior starts with personality and business settings that define tone, boundaries, escalation, and the way she qualifies demand.

Account overrides

Each account can adjust how Polly speaks, what she prioritizes, and when she hands work to a person.

20-rule prompt library

Rules are organized by critical, important, standard, and optional tiers, giving teams a governance model rather than a loose script.

Deterministic prompt compilation

ADR 0023 makes prompt assembly the repeatable source of truth before every call begins.

Proof buyers should see

ADR 0023 proof calloutRule tiersGaps and approvalsBefore and after transcript

Why buyers care

The work behind the claim.

  • ADR 0023 proof callout
  • Rule tiers
  • Gaps and approvals
  • Before and after transcript

DNA configuration

Polly behavior starts with personality and business settings that define tone, boundaries, escalation, and the way she qualifies demand.

Account overrides

Each account can adjust how Polly speaks, what she prioritizes, and when she hands work to a person.

20-rule prompt library

Rules are organized by critical, important, standard, and optional tiers, giving teams a governance model rather than a loose script.

Deterministic prompt compilation

ADR 0023 makes prompt assembly the repeatable source of truth before every call begins.

Gaps and approvals

Knowledge improvements should move through reviewable gaps and approvals rather than untracked prompt edits.

OEM context

Network knowledge can combine shared product context with account-level rules so Polly stays governed at scale.

Audio proof

Hear the workflow begin with Polly.

Play the call or read the transcript to see how intent becomes structured follow-up.

Polly demo call

Transcript

Transcript excerpt: Polly greets the caller, understands purchase intent, asks qualifying questions, captures the vehicle interest, and creates a follow-up path for the sales team.

Product views

See the workflow surfaces.

These views show how Squawker organizes conversations, records, tasks, and follow-up across the platform.

Squawker task workspace showing follow-up priorities created from customer conversations.
Squawker task workspace showing follow-up priorities created from customer conversations.
Squawker partner administration view showing white-label configuration and account controls.
Squawker partner administration view showing white-label configuration and account controls.
Squawker lead dashboard showing qualified records with owner assignment and sales context.
Squawker lead dashboard showing qualified records with owner assignment and sales context.

Frequently asked questions

What is deterministic prompt compilation?

Squawker assembles account knowledge, DNA settings, rule tiers, escalation policy, and runtime context before the call begins.

Why does the 20-rule library matter?

The rule library gives teams a governed structure with critical, important, standard, and optional tiers instead of a loose script.

Can accounts override Polly behavior?

Yes. Account-level overrides control how Polly speaks, what she prioritizes, and when she hands work to a person.

Next paths

Continue the evaluation.