Solution

Accelerated Analysis for Agencies

Solution

Accelerated Analysis for Agencies

Upload the client's verbatims, tickets or transcripts. Get the coded dataset and the finding in an afternoon, not three weeks.

EveryProjectStartsWith40,000RecordsAndADeadline.

EveryProjectStartsWith40,000RecordsAndADeadline.

EveryProjectStartsWith40,000RecordsAndADeadline.

Your analysts hand-code verbatims into a taxonomy built from scratch for every client. It is the least billable work you do, and the slowest.

Right now:

  • Analysts hand-code verbatims for weeks

  • A new taxonomy gets built from scratch on every single project

  • Margin disappears into hours you cannot bill for

  • Turnaround caps how many projects you can take

  • You deliver themes when the client wanted proof

Right now:

  • Analysts hand-code verbatims for weeks

  • A new taxonomy gets built from scratch on every single project

  • Margin disappears into hours you cannot bill for

  • Turnaround caps how many projects you can take

  • You deliver themes when the client wanted proof

Clientsdonotpayforcodinghours.Theypayforthefinding.Everythingbeforeitiscost.

Clientsdonotpayforcodinghours.Theypayforthefinding.Everythingbeforeitiscost.

Clientsdonotpayforcodinghours.Theypayforthefinding.Everythingbeforeitiscost.

Unified Data & Enrichment

DropInYourData.ItReadsAllOfIt.

DropInYourData.ItReadsAllOfIt.

DropInYourData.ItReadsAllOfIt.

Drop in one client's file and every record comes back coded: topic, root cause, sentiment, effort, intent. Each client gets a separate workspace, so data never crosses between accounts. Backfill three years of history in the same run.

You can:

  • Run every client in a separate, segregated workspace

  • Code a full back catalogue, not a sample

  • Build the client's own taxonomy in plain English

  • Have the agent build context on your client automatically

You can:

  • Run every client in a separate, segregated workspace

  • Code a full back catalogue, not a sample

  • Build the client's own taxonomy in plain English

  • Have the agent build context on your client automatically

Causal Intelligence Engine

AskWhy.GetProof.

AskWhy.GetProof.

AskWhy.GetProof.

Ask in plain English. The agent runs the analysis, controls for what would confound it, and returns the finding with an effect size and confidence interval. Defensible when the client's own analytics team pushes back.

You can:

  • Take a proven finding into the room, not a theme cloud

  • Rank drivers by impact, not by mention volume

  • Join the client's CRM or sales data when they share it

  • Show the exact verbatims behind every finding

You can:

  • Take a proven finding into the room, not a theme cloud

  • Rank drivers by impact, not by mention volume

  • Join the client's CRM or sales data when they share it

  • Show the exact verbatims behind every finding

On-Demand Intelligence Reports

AskForTheReport.GetTheReport.

AskForTheReport.GetTheReport.

AskForTheReport.GetTheReport.

Say what the deliverable needs to contain and the agent builds it: executive summary, findings, charts, recommendations. Rerun it monthly on fresh data and a one-off project becomes a retainer. Export as HTML, PDF or slides.

You can:

  • Produce the client deck without building it

  • Turn one-off projects into monthly retainers

  • Run the same methodology across every client

  • Export to PDF, slides or their BI tool

You can:

  • Produce the client deck without building it

  • Turn one-off projects into monthly retainers

  • Run the same methodology across every client

  • Export to PDF, slides or their BI tool

Howtheplatformworks

Howtheplatformworks

Howtheplatformworks

Unstructured

Unstructured Data

Live Chat
Phone Calls
Chatbot
Voice Agents
Support Tickets
Email
Survey Feedback
Mobile App

Live Chat
Phone Calls
Chatbot
Voice Agents
Support Tickets
Email
Survey Feedback
Mobile App

Structured

Structured Data

CRM
Financial Data
Purchases
Usage Data

CRM
Financial Data
Purchases
Usage Data

Ingestion

Normalization

Normalization

Ingestion & Staging

Ingestion & Staging

APIs or File Uploads

APIs or File Uploads

Transformation & Normalization

Transformation & Normalization

Central Data Warehouse

Central Data Warehouse

Hosted or Passthrough

Hosted or passthrough

Meaning Layer

Meaning Layer

Multi-Channel A.I. Enrichment

Generative Layer - Multi-Channel A.I Orchestration

Dimension extraction engine for language

Dimension extraction engine for language

System-Level Dimensions

Custom Dimensions per Business Objective

Multi-Dimension Orchestration

Output Validation - "hallucination" or drift check

Mapping

Mapping

Human-in-the-Loop + AI

Human-in-the-Loop + AI

Internal Vector Embeddings & Semantic Similarity

Dynamic Clustering & Theming

Multi-Dimensional Consolidation

Export ability to data warehouse

Analysis Layer

Analysis Layer

Structured Output

Generative Layer - Multi-Channel A.I Orchestration

Causal Analysis, Reporting & Governance

Causal Analysis, Reporting & Governance

Generate causal reports, visualizations, and executive intelligence: on demand or scheduled

Plug into existing B.I tool of choice (Tableau, PowerBI, Hex)

Export via API to any warehouse (Snowflake, Databricks, BigQuery)

Structuring customer language created a foundation we can reuse across new initiatives, channels, and analytics needs as the business evolves.