Unit cost
€80.00 – €220.00 per analysis delivered
Methodology v1.0. Counted once per analysis delivered regardless of which capability handled it.
Deliver weekly operating analyses — theme trends, knowledge gaps, queue risk, CSAT drivers, leadership briefings — from support data already in the help desk.
Scoped like a support ops analyst hire, priced per analysis delivered, anchored to a fully-loaded EUR 55-75k benchmark.
Response time
sub-minute on dashboard updates
Accuracy target
92-97%
Escalation cap
under 24 hours on anomaly review
Priced per business action
Range reflects analysis depth, number of segments covered, and CSAT-driver complexity. Priced per weekly analysis delivered. A per-ticket-analyzed option (EUR 0.05-0.15) is available for volume-heavy clients.
Unit cost
€80.00 – €220.00 per analysis delivered
Methodology v1.0. Counted once per analysis delivered regardless of which capability handled it.
Human-equivalent reference
Support Operations Analyst
EU mid-market
Benchmarked against EU mid-market support ops analyst roles. Fully loaded includes salary, benefits, BI + help-desk tooling, management overhead, and first-year ramp.
Live calculator
Demo projection · Methodology v1.0
Capabilities
Activate the capabilities that match your largest repetitive categories. Start with the default set; expand as you prove each one. Metered unit is the role's — adding capabilities never changes the per-action price.
Extracts themes, detects recurring issues, and reports trends from support data.
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Clusters unanswered themes and recommends knowledge-base improvements.
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Tracks queue risk, forecasts peak load, and recommends staffing changes.
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Identifies what drives CSAT up or down by segment and capability.
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Generates weekly and monthly operational briefings for support leadership.
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Scenarios
Three business shapes we see most often. Costs are computed from €80.00 – €220.00 per analysis delivered and a fully-loaded Support Operations Analyst benchmark.
Scenario 1 · SaaS · 100-300
6 analyses delivered / month
Starting capabilities
Situation
A 200-person B2B SaaS company handles 5,000 tickets a month across two products. The support leader writes briefings on weekends. Knowledge-gap work gets pushed to quarterly planning.
Agent fit
Support Ops Analyst activates theme mining and knowledge-gap detection. Weekly briefings land in the leader's inbox with annotated commentary; KB gaps get proposed with evidence; the leader shifts from writing to deciding.
Outcome
Expected outcomes: 6 weekly analyses delivered per month, knowledge gaps closed rising monthly, CSAT drift caught before it moves the headline number.
Scenario 2 · Subscriptions · 200-500
8 analyses delivered / month
Starting capabilities
Situation
A 400-person subscription business monitors CSAT weekly but never knows why it moves. Cancellation themes trend up without warning. Monthly briefings take 8-10 analyst hours.
Agent fit
Support Ops Analyst activates theme mining, CSAT-driver analysis, and leadership reporting. CSAT shifts get attributed to drivers with confidence; briefings become machine-authored with leader commentary; analyst hours shift to program work.
Outcome
Expected outcomes: 8 analyses delivered per month, CSAT-driver clarity on every shift, briefing preparation time cut by 70%+, cancellation themes flagged within the week they emerge.
Analyses delivered
4-8 per month
Themes surfaced per week
Recurring + emerging with confidence
Knowledge gaps closed
5-15 per month steady state
Briefing cadence held
Weekly + monthly
Weekly maintenance
2-4 hours
How it works
Workflow summary
Aggregates support data continuously, produces weekly theme + CSAT + queue + gap analyses, surfaces anomalies, distributes to leadership.
Exceptions
Anomalous signals or interpretation ambiguity route to support leader for commentary before distribution.
When humans step in
Humans step in on anomalous theme signals, CSAT-driver conflicts, and narrative judgement on leadership briefings.
Connected systems
Agent operates inside your help desk, CSAT platform, and knowledge base. Produces structured briefings and writes theme + anomaly annotations back to source systems.
Data inputs
Ticket content, category tags, CSAT scores, queue state, resolution paths. Writes theme annotations, knowledge-gap flags, and anomaly markers back to source data.
Decision logic
Uses theme models, anomaly thresholds, and CSAT-driver patterns to produce decision-grade weekly analysis.
Readiness
Theme taxonomy documented, CSAT feed wired, briefing distribution list agreed.
Integrations
No new systems to learn. The role connects to the platforms your team already uses.
What "working" looks like
Weekly briefing cadence held
100% cadence
Share of scheduled weekly briefings delivered on time.
Source · Distribution log
Knowledge-gap loop in motion
5-15 per month
Number of KB gaps closed per month driven by agent-surfaced evidence.
Source · KB change log
Anomaly surfacing lead time improving
Hours to days
Time from anomaly emergence to leader-visible flag.
Source · Agent execution log
Leadership using analyses to steer decisions
Stable usage pattern
Share of briefings referenced in weekly leadership decisions.
Source · Leadership review
Governance & compliance
AI Act posture
No specific EU AI Act obligations beyond transparency best practice.
GDPR legal basis
Legitimate interest
DPIA
Not required for this role's scope.
Questions we get
An AI role priced per analysis delivered. It turns your help-desk and CSAT data into weekly theme, gap, queue, and CSAT-driver analyses with leadership briefings. Same scope as a support ops analyst hire.
Pure usage: EUR 80-220 per weekly analysis. A per-ticket-analyzed option (EUR 0.05-0.15) is available for volume-heavy clients. Launch fee covers theme taxonomy, integration, and reporting templates.
Zendesk and Intercom as primary. CSAT platform integration is essential — SurveyMonkey, Delighted, or native help-desk surveys all work.
On novel theme signals, driver-attribution ambiguity, and narrative judgement for briefings. The agent does the heavy aggregation; humans own interpretation on the edge cases.
Typical 21-35 days. Faster with a mature theme taxonomy and clean help-desk data.
BI tools show dashboards. This agent produces decision-grade briefings with narrative commentary, anomaly flagging, and gap proposals — the analyst layer, not the reporting layer.
Chat opens with your role context already loaded. Scope a launch set of capabilities, review integrations, and get a timeline in one conversation.