AgentAngel.io AgentAngel.io
Auto Claims Specialist — three pillars 1 Always There 2 Always Listening 3 Always Helpful Training & Consulting The 2% Problem
Training & Consulting — core, not an add-on

Teach it your standard once. It keeps auditing its own rulebook against real calls.

Every QA platform on the market audits calls against a ruleset it assumes is correct. This one watches the ruleset too — in both directions — and proposes a change the moment the rules stop matching how your team actually works.

Said plainly, on day one: the biggest driver of how well this works is you. From the first week, your team leads need to tell the system, daily, why a flagged moment wasn't actually wrong. That's how it learns your goals instead of just your transcripts — and it's the one habit that decides whether this gets better every month or stays generic.
Who it's for, level by level

Weekly or monthly, aimed at leaders — not a scoreboard aimed at reps.

Team leaders and managers get a summary naming which reps could benefit from what additional coaching. It does not have to be negative — the framing throughout is developmental, and it's built that way on purpose. What each level actually sees:

Chief / VP of ClaimsMonthly
Program-level rollup: coverage rate (100% vs. the prior sample-based baseline), flag volume trend, and the ruleset-drift proposals awaiting a decision. This is the view built for the buyer named in the pilot ask — no per-call detail, no per-rep detail.
Operations DirectorWeekly (month 1), then monthly
Rule-health view: which rules fire too often to fit the team's real process, which rules are never enforced in practice, and the batched change proposals described under Feedback Cadence below. This is the level that actually rules on rule changes.
Team Supervisor / QA LeadWeekly
Per-rep coaching rollup: which reps could benefit from which specific coaching, framed developmentally — plus the queue of reps who've disputed a flagged call and are waiting on a ruling.
Adjuster / Rep (end user)Per call, as flagged
Their own flagged calls only: an expiring, authenticated, stream-only link to the call and transcript (see Rep Self-Service below) — never another rep's calls, never the program-level rollup.
Rep self-service & due process

A rep can hear exactly what was flagged, and argue it.

Every flagged call gets a shared, authenticated link — not a bare URL sitting in an inbox, since it carries a real recorded call. The rep signs in, listens to the full call or just the flagged moments, reads the transcript, and confirms they understand what's needed. The link also surfaces the coaching opportunity itself, not just the violation.

Per-rep login, not a shared link

Expiring, stream-only, no download, every access logged — the log is what makes a contested score defensible.

Expires in 14 days by default

Configurable per client. Availability of the rep-facing link is a per-client setting from day one.

Summaries go up, links go to the rep

Team leaders and managers receive the rollups; reps get their own per-call links — not the other way around.

The spine of this pillar

The rulebook audits itself, in both directions.

Same mechanism, two directions: frequency analysis pointed at the rule, not the rep.

From below

A rule that fires too often probably doesn't fit

A rare exception is noise — the rule stays as written. The same exception showing up across a large share of calls means the rule doesn't match how this carrier actually operates, and the system proposes an adjustment to fit.

One-off exception left alone. The same exception on a large share of calls flagged as a rule that needs to fit the client's real process.
From above

A rule that's never enforced fails constantly, quietly

Some rules exist on paper and are never actually checked on a call — which means they fail every single time, invisibly. The system surfaces it and asks whether it should stop counting those as errors going forward.

Example: a written rule that every call must include the team leader's name and hours — never enforced in practice. The system asks: "Do you want this changed to remove these as errors in the future?"
The full ruleset stays visible to the client at all times, and the system proactively recommends changes to any rule it notices isn't actually being enforced.
Feedback cadence

Batched, never instant — disputes accumulate into a proposal.

1

Disputes and "not wrong" calls accumulate

A team lead's ruling on a flagged call doesn't change the rule on contact — it's collected.

2

Weekly, for the first month

Early on, the batch of feedback is reviewed and proposed back to the client every week — while the system is still proving itself.

3

Monthly, once it's proven itself

The cadence relaxes to monthly proposed rule changes once the ruleset has stabilized against real calls.

Client rule intake

We bring the taxonomy. You bring how it should be scored.

Onboarding starts from our own template of the audit aspects we plan on grading — the categories a claims call actually needs checked. The client tells us how those categories should be weighted and scored against their own process, so the ruleset reflects their standard from day one, not a generic one.

Never, no exceptions: nothing one client's team teaches this system ever reaches another client. Every ruleset, every rep coaching thread, every batch of feedback is walled per client. There is no shared model of "how a good call sounds" that crosses accounts.
What's next — not part of this build yet

Live coaching during the call is the next phase, not this one.

The audit landing within minutes of a call ending is the current bar. Whispering a live checklist to a team leader while the call is still happening — flagging a forbidden promise the instant it's spoken — is a later phase that needs a design partner to build with, not a shipped feature today.

We confirm and flag. We never decide.

Training teaches the system your standard and keeps it current. It does not adjudicate a claim, does not determine coverage, and every ruleset it learns stays walled to the client that taught it.