Automated Metric Monitoring
Every tracked metric is watched continuously, and unusual movement is flagged automatically.
Your contact center data contains strategic intelligence
Every day your contact center generates performance signals that could inform revenue decisions, compliance strategy, and customer experience direction at the executive level. Most of that intelligence never travels far enough up the organization to matter.
Dossier changes the delivery model entirely.
Request a DemoThe problem Dossier was built to solve
Dashboards require time, context, and navigation that senior leaders rarely have. Reports get produced on a cycle that means leadership finds out about a trend weeks after it first appeared in the data.
By the time an executive sees a meaningful shift in handle time, customer sentiment, or compliance risk, the operational window for a timely response has often already closed.
Dossier is a recurring executive intelligence briefing built from your existing contact center data. It connects to your conversation intelligence platform, evaluates which metrics have moved beyond normal statistical variation, generates a plain-English narrative explanation of what changed and why, and delivers a finished, analyst-reviewed briefing to your leadership team on a defined schedule.
Each briefing arrives in three formats: so executives consume it in whatever way fits their day.
Dossier is built around a core set of capabilities that make executive intelligence delivery consistent, defensible, and scalable.
Every tracked metric is watched continuously, and unusual movement is flagged automatically.
Separates real changes from random noise before anything reaches leadership.
Every finding is labeled high, medium or low confidence, so leaders know how much weight to give it.
Charts and numbers are turned into short explanations anyone can read.
An analyst checks every finding before it is delivered. Nothing goes out unreviewed.
The same finding reaches each leader in the format they actually use.
Executives ask questions in plain language and get answers from their own data.
Past findings are kept and linked, so new analysis builds on what was already learned.
Create a new metric by describing it in a sentence. No query language needed.
“Hi, this is Sarah Malik, how can I help?”
“Hi, this is Agent, how can I help?”
Agent names are removed, so findings focus on patterns, not individuals.
Each client's data is stored separately and never mixed with anyone else's.
Most organizations currently rely on one of three approaches to keep leadership informed about contact center performance. Each one has a significant limitation.
require a senior analyst to spend significant time each month compiling, formatting, and distributing a briefing. The process is slow, resource-intensive, and dependent on individual availability. When the analyst is unavailable, the briefing does not go out.
assumes executives have the time, context, and technical familiarity to navigate a platform, interpret metric movements, and draw their own conclusions. In practice, most senior leaders do not use dashboards consistently enough to stay informed.
means leadership only receives information when they ask for it, which means they can only ask about problems they already know exist. The intelligence that should proactively reach them never gets surfaced.
Dossier replaces all three with a single automated, analyst-reviewed delivery that arrives on schedule regardless of internal resource availability.
A seamless pipeline converting operational variables into concrete executive clarity.
Dossier integrates with your existing conversation intelligence platform or data warehouse and pulls current performance data automatically on a daily basis without requiring new data infrastructure.
A statistical engine evaluates metrics against z-score thresholds and significance gates. Only findings backed by statistically sound variations appear in the briefing. Every insight carries an explicit confidence classification (Early Signal, Developing, or Established) to reflect data maturity.
AI produces a plain-English explanation covering direction, magnitude, and confidence level. A Zenylitics analyst reviews every narrative before delivery while maintaining strict agent anonymity and zero model-training data usage.
Approved briefings are sent via branded email, audio, or video formats. An in-app chat allows executives to query findings strictly grounded within the verified data set.
Briefings are cross-referenced against historical trends to surface recurring or evolving patterns, compounding intelligence over time into a permanent organizational record.
CORE PILLAR 01
Every finding in a Dossier briefing cleared quantitative thresholds before appearing. Confidence classifications are assigned to every output so the recipient understands the evidentiary weight behind each claim. This is not a summary of what the dashboard shows. It is a statistically grounded assessment of what actually changed.
CORE PILLAR 02
Automated narrative generation is one step in the process. It is not the final output. A Zenylitics analyst reviews and approves the complete briefing before it reaches any recipient. Agent-level identifiers are removed prior to AI processing, and the system maintains a strict separation between client operational data and model training infrastructure.
CORE PILLAR 03
Outcomes, performance bands, and metric thresholds are defined per client engagement. Analysts can incorporate new metrics into the briefing framework using plain-English specifications without requiring involvement from a business intelligence or data engineering team on the client side.
CORE PILLAR 04
Assembling an executive briefing manually requires a senior analyst to invest significant time each month. Dossier replaces that cycle entirely. The briefing is generated, reviewed, and delivered automatically on schedule.
Zenylitics earned the CallMiner Business Impact Partner of the Year award consecutively in 2024 and 2025, recognized specifically for the ability to turn conversation intelligence into measurable business results through speed to insight, client partnership, and program expertise.
Organizations that work with Zenylitics include companies across financial services, healthcare, pharma, collections, home services, and BPO. Dossier deployments currently span credit unions, community banks, and enterprise contact centers across healthcare, pharma, and e-commerce.
TARGET DEPLOYMENT ARCHITECTURE
For organizations seeking a complete managed analytics engagement with executive briefing built into the delivery model, Dossier pairs with Guided Insights as a Service℠. For organizations that already operate an active speech analytics platform but find its outputs are not reaching senior leadership consistently, Dossier is available as a standalone product.
Current deployments span credit unions, community banks, BPO operations, and enterprise contact centers across healthcare, pharma, and e-commerce.
Pairs with Guided Insights as a ServiceSM
Dossier is built around a core set of capabilities that make executive intelligence delivery consistent, defensible, and scalable.
Leadership receives early signals on conversion patterns, objection trends, and sales behavior gaps before they show up in quarterly reviews. Strategic decisions on territory, training, and resource allocation are grounded in what buyers are actually saying.
Compliance exposure that accumulates across unreviewed interactions is a leadership risk before it becomes a regulatory one. Dossier surfaces risk language, disclosure gaps, and dispute signals at the briefing level so executives stay ahead of exposure rather than reacting to it.
Customer experience strategy built on survey samples reflects a fraction of actual customer sentiment. Dossier surfaces friction patterns and recurring themes from your full conversation volume, giving leadership the foundation for decisions that reflect the complete customer picture.
FAQ
Your most frequently asked questions, all in one place. If you don’t see what you need, reach out to us.
Dossier currently connects to CallMiner and is built to integrate with additional conversation intelligence platforms and data warehouses. If your organization runs a different platform, contact us to confirm current compatibility.
A dashboard gives your team access to data that requires navigation, interpretation, and context to be useful. Dossier delivers a finished, analyst-reviewed briefing that arrives formatted for executive consumption. The output is ready to act on without requiring platform access or analytical background on the part of the recipient.
Every Dossier briefing is reviewed and approved by a Zenylitics domain-expert analyst before delivery. The human review is a required step in the workflow, not a disclaimer.
Individual agent identifiers are removed before any data enters the AI processing layer. Customer data is never used to train AI models. Zenylitics maintains a strict separation between client operational data and model infrastructure.
The first briefing is typically delivered within the first few weeks of program setup, depending on data connection complexity and threshold configuration. Zenylitics handles the setup process and will confirm a delivery timeline at the start of the engagement.
Dossier is available as a standalone product for organizations with an existing active speech analytics platform. It also pairs with Guided Insights as a Service for organizations that want full analytics program delivery with executive briefing built in.
BPO and managed service providers can access Dossier as a white-label service offering.

Request a sample to see how your contact center data can be evaluated, transformed into clear findings, and delivered to leadership in a consistent, executive-ready format.
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