HUNTER—SEEKER
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Governed decision automation

We predict outcomes and help you act on them.

Hunter-Seeker finds the risks and opportunities you care about and drafts up the precise action needed for each situation. Every decision is validated and auditable.

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Deterministic Patent Pending ≥ 1.5x lift guarantee Reproducible benchmark →

Sample run · public IBM Telco dataset

The frame

Someone opens a list every morning.

Who do we work next, why them, and can I defend that choice?

RelatedDetailsActivity Writing to Salesforce
MH Account
Meridian Health Partners
 EditNew Task
Balance due
$4,280.00
Days delinquent
34
Propensity to pay
0.87
Last contact
11d ago
Activity2 new · just now
✓ Task · Call — payment plan offer Due today. Offer 3-month plan at $1,427/mo — the lever most associated with payment in this segment. written by Hunter-Seeker · approved by d.reyes 09:14 now
✎ Note · Ranked 1 of 512 this cycle Propensity 0.87 · top decile. Drivers: 2 prior plans completed, no dispute flag, contact reachable. written by Hunter-Seeker · run 3b3dc851 now
↻ Payment received · $1,200.00 Partial payment against balance. 18d
✉ Statement sentCycle 4 statement, delivered. 26d
Fields updated2 changed
Collection stage
Pre-collectPayment plan offered
Next action date
—Today
Owner
D. Reyes
Account type
Commercial

An approved action landing in the system of record, stamped with the run that produced it.

Automated workflows

The engine posts findings as it clears them.

Hunter-Seeker tracks model performance and recalibrates when drift is detected.

HNorthwind Ops
Channels
#general
#retention
#collections
#data-eng
Apps
◉Hunter-Seeker
# retention 14 members Posted to Slack
HS Hunter-SeekerApp06:02
Drift detected on tenure. Re-running pattern discovery on the next cycle — no action needed from you.
Calibration drift · churn_90d
The calibration coefficient moved outside its stable band, so the pattern is being rediscovered rather than reused.
coefficient1.01 → 1.19 stable band0.90 – 1.10 drifted featuretenure next runtonight 02:00 · full rediscovery
Scores from the previous run stay available and stay labelled with the run that produced them. Nothing is silently restated.
👀 3✅ 1
DR Dana Reyes06:14
Good catch — that’s the contract migration landing. Let it rediscover.

A scheduled cycle announcing its own drift, with nobody watching.

Top-decile lift
2.96×
Calibration
1.01
Surfacing bar
1.50×
Protocol checks
19/19
One engine, several doors

Built for the queues where being wrong is expensive.

Collections

Work the accounts most likely to pay — and defend the order.

Rank by propensity, take an approved logged action, and hand the auditor the lineage they were going to ask for anyway.

Claims triage

Refer what needs referring. Clear the rest, with reasons.

A review queue with a human at the gate, precision on the referral set, and a reason per decision a regulator can read.

Customer success

Know which accounts are about to churn — or that none are.

Top-decile lift with drivers a CSM will actually act on, and an honest empty when the quarter is quiet.

Integrations

Actions land in Slack, Gmail and your CRM.

Datasets arrive from the warehouse or a CSV. Every action is logged where the operator already works.

Plus Salesforce, Slack, Pipedrive, Snowflake, Redshift and Postgres — and any CSV.

Honest-empty

The answer is sometimes no. You get the whole analysis anyway.

A refusal is a completed analysis with a verdict. You see what was tested, how it was validated, what leak-guard pulled, and what would most likely change the answer. The run then goes back on your quota.

HNorthwind Ops
Channels
#general
#retention
#collections
#data-eng
Apps
◉Hunter-Seeker
# retention 14 members Posted to Slack
HS Hunter-SeekerApp02:41
Analysis complete. No finding cleared the bar this cycle — the run is back on your quota.
No pattern cleared the lift 1.5 holdout bar
tested34 candidate patterns validationout-of-time holdout best candidate1.31× validated lift leak-guard2 columns quarantined holdout gateFAIL billed0 credits · refunded
What would most likely change it
More outcome history, a cleaner outcome column, or the two quarantined columns replaced with pre-outcome equivalents.
This is not proof there is no signal — only that none cleared the bar on this data.
👍 4

The refusal, posted where the wins normally get announced.

How we prove it
Defensibility

Export the audit record in one click.

Every run carries its own audit record — what was validated, what was excluded and why, who approved the action, and the pin that lets anyone reproduce it. Shaped for SR 26-2 model-risk and EU AI Act documentation, generated whether or not anyone asks.

Inbox › Model risk Sent via Gmail
Governance export · run 3b3dc851 · churn_90d
HS Hunter-Seeker agent@hunter-seeker.net  to  model-risk@, d.reyes@ today 02:44

The attached record covers every decision in this run — what was validated, what was excluded and why, who approved the action, and the pin that reproduces it. Generated on every run, whether or not anyone asks.

engine pin0.2.2 · core 4d24e9fc…
validationout-of-time holdout · calibrated 1.01
top-decile lift2.96× · clears the 1.50× bar
quarantined columns2 · listed with reasons
approverd.reyes · 09:14 · recorded
replayreproduces this file byte-for-byte
bundlesha256 9f21c4…

Shaped for SR 26-2 model-risk documentation and EU AI Act review.

JSON governance-3b3dc851.json84 KB · sha256 verified

Generated on every run and delivered to whoever needs it.

See the governance surface
The Analyst Test

Hunter-Seeker Vs Fable 5 Vs Tuned GBM

We gave Fable 5, a gradient-boosted model Fable 5 trained for itself, and Hunter-Seeker the same telecom spreadsheet and asked each to rank who would cancel. All three flagged the same customer first. Only one could say why — and a fresh-context verifier re-derived every number below from artifacts alone.

Hunter-Seeker
2.96×
Fable 5 + Trained GBM
2.90×
Fable 5 judgment
2.07×
Protocol checks
19/19
Read the benchmark
Get started

Governed. Autonomous. Decisions.

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Hunter-Seeker — Predictive AI platform · Explainable AutoML