Governed AI-powered operations for insurance software

Artifacts in. Reviewable work items out. Cadence protected.

Kargha is an AI-powered workbench that reduces friction in repeatable BAU workflows and enables faster delivery with built-in governance through evidence-backed work, structured review, and traceable decisions.

Human-in-the-loop approvals Inspectable evidence Audit trail + KPIs

Built by Yovant - full-suite Duck Creek subject matter experts.

Operating loop
Runs -> Work Items
Control points
Review-first + traceable decisions

How it works

Yovant standardizes production support (BAU) operations as repeatable workflow runs. Kargha supports the model by producing evidence-backed work items, routed through human approval queues before anything is executed.

1

Run ingestion

Start a run by uploading a zip (or connecting signals): tickets, logs, regression output, diffs, release notes, environment context.

Inputs are preserved and linked to every work item.
2

Agent analysis

Generate proposed work items and drafts, with an inspectable evidence bundle for every recommendation.

AI is the multiplier, not the decision-maker.
3

Workbench governance

Humans review, refine, approve, and export payloads: bug payloads, runbooks, reports, and draft manuscripts.

Cadence protection through control points.

Sample Actions

Systems
Regression test outputs
Database discrepancy scan results
Release notes
Support artifacts (zips, exports)
Kargha
Triage test results
Draft data fixes
Produce draft manuscripts
Propose payloads + KPIs
Humans
Review results + evidence
Approve / reject / refine
Provide feedback for improvement
Execute approved payloads

Two ways to start

Prove value quickly in the BAU workflows that block cadence the most: regression and upgrades.

Regression Triage Agent

Reduce overnight failure noise and shorten triage loops with evidence-backed classifications, AI-generated defect reports, and automated re-baselining.

Run ingests results + logs + diffs
Agent proposes work items w/ evidence
Humans approve and export payloads
Time-to-triage
Down
Signal quality
Up
Release delays
Down
Request Regression Assessment

Upgrade Agent

Make upgrade work more predictable with run-based impact review, conflict surfacing, and governance queues.

Run ingests manuscript sets
Agent drafts impact review work
Humans approve changes and track risk
Upgrade cycle time
Down
Rework
Down
Stabilization
Faster
Request Upgrade Assessment

Trust, control, and cadence protection

Kargha is designed for enterprise delivery: review-first, evidence-backed, and traceable decisions end-to-end.

What Kargha is

Automates high-friction BAU workflows (testing, triage, upgrade readiness)
Produces work items with inspectable evidence bundles
Routes proposals through human approval queues in the Workbench
Exports to your existing systems (issue tracking, pipelines, runbooks, reports)

What Kargha is not

No autonomous production changes
Not a push-button Duck Creek implementation engine
No speculative AI product bets without validated demand
Not a replacement for domain SMEs; it scales their output

Governance doesn't slow delivery. Governance makes delivery repeatable.

Kargha design principle for carrier-grade BAU

See it first-hand

Get a short walkthrough of how runs, evidence, and approval queues work together in the Workbench.

Kargha Workbench
Intake
Runs
Queues
KPIs

What you'll see

Runs view with linked artifacts
Work item queues and statuses
Evidence panel for every recommendation
Approval checkpoints and export
Book a live demo

Assessments

Start with a scoped assessment to baseline noise, cycle time, and readiness - then define a pilot with success metrics.

Regression Triage Assessment

Baseline triage time, failure noise, and release delay drivers. Define a pilot scope and success metrics.

Typical timeline
2-4 weeks
Deliverables
Findings + pilot plan + KPI targets (sample)
Request regression assessment

Upgrade Readiness Assessment

Baseline the carrier environment, manuscript customizations, and target upgrade cadence. Define a pilot with reviewable outcomes.

Typical timeline
2-3 weeks
Deliverables
Readiness map + risk register + pilot plan (sample)
Request upgrade assessment

About Kargha

Name meaning
Kargha means loom - reflects weaving AI, delivery expertise, and insurance domain knowledge.
Yovant
Duck Creek implementation & management for carriers.
Visit yovant.com
Purpose
Reduce time to value and improve BAU consistency with scalable AI-powered capabilities.

Book a demo / start an assessment

Tell us what you're trying to improve and we'll route you to the Yovant contact page.