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.
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.
Reviews the complete contact center data set daily without requiring manual data pulls.
Applies z-score thresholds and metric-specific significance gates before surfacing findings, reducing noise and false positives.
Labels every finding as Early Signal, Developing, or Established to show the strength of the supporting evidence.
Explains the direction, magnitude, and business context of each flagged metric.
Requires approval from a Zenylitics analyst before any briefing reaches the client.
Delivers briefings through branded email, narrated audio, or rendered video on a daily, weekly, or monthly schedule.
Provides answers based only on the verified data and confirmed findings in the current briefing.
Compares each new briefing with previously approved briefings to identify patterns, streaks, trends, and reversals.
Allows analysts to create metrics and thresholds without relying on client-side business intelligence or data engineering teams.
Strips individual names and identifying information before data enters AI processing.
Keeps customer data private and never uses it to train AI models.
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.
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. No new data infrastructure is required. If your organization already has an active speech analytics environment, Dossier connects to what you have.
A statistical engine evaluates every metric against z-score thresholds, sample-size requirements, and per-metric significance gates before surfacing a finding. Only metrics that have moved beyond normal variation appear in the briefing. Dossier will not present a finding the underlying data cannot statistically support.
Every finding carries a confidence classification. Early Signal indicates an emerging pattern with limited data history. Developing reflects a pattern with growing confirmation. Established indicates a statistically mature finding with consistent directional evidence.
AI produces a plain-English explanation of each finding, covering direction, magnitude, and confidence level. A Zenylitics analyst reviews and approves every narrative before it leaves the platform. Individual agent identifiers are removed before any data enters the AI processing layer. Customer data is never used in model training.
The approved briefing goes out on the client's scheduled cadence as branded email, narrated audio, and rendered video. An in-app chat allows executives to ask follow-up questions grounded strictly in that briefing's confirmed data, with no answers generated outside the verified data set.
Dossier cross-references every new briefing against the full history of prior approved briefings. When a pattern recurs, reverses, or sustains across multiple periods, the narrative reflects that continuity. The intelligence compounds in depth and relevance the longer the program runs, creating an organizational record that no standalone dashboard can replicate.
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.
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.
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.
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.
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.
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.
Your most frequently asked questions, all in one place. If you don't see what you need, reach out to us.
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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The first is a contact center organization that has significant interaction volume and no structured analytics program for turning that data into intelligence that reaches leadership. Zenylitics builds and operates the full program on their behalf, covering people, process, and technology at a cost structure that does not require assembling a permanent internal team.
The second is an organization that has already invested in a conversation intelligence platform and is not seeing the strategic return it expected. The platform is running, data is flowing, but leadership is not receiving consistent finished intelligence from it. Zenylitics provides the consulting layer and delivery infrastructure that converts platform output into leadership-ready intelligence.
In both situations, the problem Guided Insights as a Service solves is the same. A conversation intelligence platform does not produce finished intelligence on its own. A consulting team with the right expertise, calibrated methodology, and ongoing accountability for outcomes does.
First Findings in 90 Days:
Iteration 0, Zenylitics’ proprietary onboarding methodology, delivers program findings within 90 days for every engagement regardless of program complexity.
Most organizations implementing conversation intelligence platforms independently spend six to twelve months in configuration before their program produces output that reaches leadership. Iteration 0 compresses that timeline and ensures findings arrive while organizational context is still current.
Zenylitics has delivered analytics programs across these primary use cases.
AI-powered analytics processes your full interaction volume, handling pattern detection, metric monitoring, and early-stage analysis at a scale and consistency that manual review cannot replicate.
Every output the system surfaces goes through analyst review before advancing to the delivery stage. Our analysts apply domain knowledge, evaluate findings in the context of your specific business environment, and determine which signals carry genuine strategic significance versus statistical noise.
Reporting is structured for leadership consumption. Every finding answers five questions in sequence. What changed in the data. What caused that change? Why it carries business significance. What an appropriate response looks like. And how the outcome of that response will be measured.
That five-question structure is what keeps findings connected to real organizational decisions rather than accumulating as data that requires further interpretation before it becomes useful.
Most conversation intelligence vendors are platform companies. Zenylitics is a consulting firm.
That distinction matters at the point where most analytics investments stall. A platform gives an organization access to interaction data and tooling. It does not produce the analyst expertise, the calibration methodology, the ongoing program management, or the executive-formatted reporting that converts data access into organizational intelligence.
Guided Insights as a Service provides all of that as a managed engagement. Clients do not need internal analytics expertise to run the program. They do not need to hire, train, and retain speech analytics specialists. They receive the output of a fully staffed consulting operation configured specifically around their business questions.
The program also works alongside existing conversation intelligence platforms. Zenylitics partners deeply with CallMiner, reflected in consecutive Business Impact Partner of the Year recognitions in 2024 and 2025, and works with organizations running Gong, Verint, Dialpad, and other platforms.
Let’s discuss your interest and review how Zenylitics’ can bring the world of AI-enabled omnichannel speech analytics to your business – quickly and cost-effectively.
