Marketing ops · Production

Bonterra's customer marketing team automates review responses and standardizes brand voice with Jasper

The problem

Bonterra's customer marketing team was spending significant time manually responding to customer reviews across G2, TrustRadius, and Gartner, with senior marketers tied up on repetitive, low-value responses while struggling to keep brand voice consistent across a large, segmented marketing organization.

Workflow diagram · grounded in source
1
Review ingested from platforms
trigger
“tasked with responding to customer reviews across G2, TrustRadius, and Gartner”
2
First agent categorizes review
ai_action
“The first agent acts as a categorization engine—ingesting each review and classifying it based on sentiment, star rating, and content type. Is it a glowing endorsement? A constructive critique? A one-star escalation that needs human inte…”
3
Categorization routes to response agent
routing
“That categorization then drives the second agent: the response generator”
4
Response agent generates reply
ai_action
“The response agent follows a sophisticated set of conditional rules: it greets reviewers by name when available, adjusts tone based on rating, addresses specific complaints with relevant resources, routes support issues appropriately, an…”
5
Edge cases escalated to human
human_review
“flags edge cases for human review”
6
AI generates case study first draft
ai_action
“they use Jasper to generate a structured first draft based on interview notes and approved templates”
7
Human refines and validates draft
human_review
“Neil then steps in to refine, emphasize the right moments for sales, and validate accuracy”
Reported outcome

A full quarter's worth of review responses is now completed in under two hours, down from 12 or more hours, and brand guidelines are embedded directly into Jasper's content workflows so marketers no longer need to manually cross-reference style guides.

Reported metrics
Review response time (current)under two hours
Review response time (previous)12 or more hours
Weekly time reclaimedhours of time every week
Time savingstime savings
Show all 6 reported metrics
review response time (current)under two hours
review response time (previous)12 or more hours
weekly time reclaimedhours of time every week
time savingstime savings
brand voice standardizationStandardized brand voice across customer-facing comms
marketer capacity freedFreed up marketer capacity to focus on high-touch advocacy work
Reported stack
JasperJasper's GridJasper's IQ layerG2TrustRadiusGartner
Source
https://www.jasper.ai/case-studies/bonterra
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

A full quarter's worth of review responses is now completed in under two hours, down from 12 or more hours, and brand guidelines are embedded directly into Jasper's content workflows so marketers no longer need to man…

What tools did this team use?

Jasper, Jasper's Grid, Jasper's IQ layer, G2, TrustRadius, Gartner.

What results were reported?

Review response time (current): under two hours; Review response time (previous): 12 or more hours; Weekly time reclaimed: hours of time every week; Time savings: time savings (source-reported, not independently verified).

How is this marketing ops AI workflow structured?

Review ingested from platforms → First agent categorizes review → Categorization routes to response agent → Response agent generates reply → Edge cases escalated to human → AI generates case study first draft → Human refines and validates draft.

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